Manufacturer profile

MagicLab

4 robots tracked on ui44 headquartered in China with pricing still largely handled through direct quotes.

  • 3 active models
  • Humanoid leads the lineup
  • Updated May 15, 2026

Coverage snapshot

Tracked robots
4
Categories
2
Available now
3
Price view
Quote based

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Manufacturer brief

What stands out about MagicLab

MagicLab currently spans 4 robots in the ui44 database. The portfolio leans toward humanoid with 3 models leading the lineup. 3 models are already available or active today. Pricing is largely handled through direct sales or undisclosed quotes.

Autonomous Emotional ExpressionVoice, Vision, and Touch InteractionTarget Detection and FollowingSmart Obstacle Avoidance
portfolio

3 Humanoid

MagicLab is most concentrated in humanoid robotics, with 2 categories represented overall.

availability

3/4

3 robots are marked available or active, which helps frame how commercial-ready this lineup is.

pricing

Quote-based

Public pricing is limited, so the commercial picture depends on direct sales conversations or enterprise quotes.

Portfolio

What this manufacturer actually covers

MagicLab needs an at-a-glance summary before the page branches into deeper editorial content. This chapter brings the company snapshot, compare entry points, and model gallery into one clean first read.

About MagicLab

MagicLab is a robotics company headquartered in China. The company currently has 4 robots tracked in the ui44 Home Robot Database, spanning 2 categories: Companions, Humanoid.

Key Capabilities

Autonomous Emotional Expression Voice, Vision, and Touch Interaction Target Detection and Following Smart Obstacle Avoidance All-Terrain Quadruped Locomotion 15cm Obstacle Clearance 40° Climb Angle Head-Torso Coordination Human Recognition Patrol Mode +42 more

At a Glance

Robots Tracked

4 models

Categories

Companions, Humanoid

Headquarters

China

Available Now

3 robots

Browse all robotics companies on the manufacturers directory, or explore robots from China.

Compare entry points

Compare MagicLab models side by side

These in-brand comparison links surface the most relevant matchups first, using category fit, shared capabilities, and verification freshness to decide what should be reviewed together.

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All MagicLab Robots

Model coverage

The tracked MagicLab lineup is grouped here so the catalog can be scanned quickly before diving deeper into pricing, specs, and context.

Browse the full robot directory
MagicDog by MagicLab — Companions robot
MagicLab

MagicDog

MagicDog is MagicLab's quadruped companion robot dog, presented during the company's CES 2026 debut and described by…

1.5-3 hours15.8kg excluding…
Price TBA Active
MagicBot Gen1 by MagicLab — Humanoid robot
MagicLab

MagicBot Gen1

MagicBot Gen1 is MagicLab's full-size general-purpose humanoid robot, officially announced for Q1 2025 launch with…

3-5 hoursApproximately 70 kg
Price TBA Active
MagicBot Z1 by MagicLab — Humanoid robot
MagicLab

MagicBot Z1

MagicBot Z1 is MagicLab's compact high-dynamics bipedal humanoid robot for scientific research and education.…

Approximately 2 hoursApproximately 40 kg…
Price TBA Active
MagicBot X1 by MagicLab — Humanoid robot
MagicLab

MagicBot X1

MagicBot X1 is MagicLab's next-generation flagship humanoid robot, unveiled at the company's Global Embodied…

70 kg180 cm
Price TBA Development
Product and tech

Lineup structure and platform signals

A premium manufacturer page should make it easy to understand how the lineup is organized and what technical patterns show up across the portfolio, not just list robots one by one.

MagicLab Product Lineup

MagicLab offers 4 robot models across 2 categories. Below is a breakdown of each product line, current availability, and key specifications.

Humanoid (3 models)

MagicBot Gen1

MagicBot Gen1 is MagicLab's full-size general-purpose humanoid robot, officially announced for Q1 2025 launch with simultaneous small-batch mass production in the company's Dec. 2024 factory-training …

Actively deployed
MagicLab has not published public pricing for MagicBot Gen1; the official product page and Dec. 2024 factory-training update do not list a checkout price. Height 174 cmWeight Approximately 70 kgBattery 3-5 hoursSpeed ≥4 km/h Released 2025 (Q1)

MagicBot Z1

MagicBot Z1 is MagicLab's compact high-dynamics bipedal humanoid robot for scientific research and education. MagicLab's official product page lists a 136.9 cm, roughly 40 kg platform with a 24-DOF st…

Actively deployed
MagicLab has not published official public pricing for MagicBot Z1; the official product page lists Z1 and Z1 Development Version configurations without a checkout price. Height 136.9 cm standingWeight Approximately 40 kg with battery; development version approximately 40 kg+Battery Approximately 2 hoursSpeed Not officially disclosed Released 2025-07-08

MagicBot X1

MagicBot X1 is MagicLab's next-generation flagship humanoid robot, unveiled at the company's Global Embodied Intelligence Summit in Silicon Valley alongside the Magic-Mix world model and H01 dexterous…

In active development
MagicLab has not published public pricing or ordering terms for MagicBot X1; launch materials describe standard and research editions but no checkout price. Height 180 cmWeight 70 kgBattery Dual-battery system described for 24/7 continuous operation; per-charge runtime not officially disclosedSpeed Overall motion speed reported as more than 30% faster than MagicBot Gen1; exact speed not officially disclosed Released 2026-04-29

Technology & Capabilities

MagicLab's robots combine a range of technologies and capabilities. Here is a consolidated look at the sensors, connectivity, AI platforms, and capabilities found across their product line.

Key Capabilities

  • Bipedal Walking 2/4 (50%)
  • Autonomous Navigation 2/4 (50%)
  • OTA Upgrades 2/4 (50%)
  • Autonomous Emotional Expression 1/4 (25%)
  • Voice, Vision, and Touch Interaction 1/4 (25%)
  • Target Detection and Following 1/4 (25%)
  • Smart Obstacle Avoidance 1/4 (25%)
  • All-Terrain Quadruped Locomotion 1/4 (25%)
  • 15cm Obstacle Clearance 1/4 (25%)
  • 40° Climb Angle 1/4 (25%)

+ 42 more

Sensor Technology

  • Depth Camera 2/4 (50%)
  • Microphone Array 2/4 (50%)
  • 3D LiDAR 2/4 (50%)
  • 2D LiDAR 1/4 (25%)
  • Dual Camera 1/4 (25%)
  • 4K HD Camera 1/4 (25%)
  • Fisheye Camera 1/4 (25%)
  • Ultrasonic Sensor 1/4 (25%)
  • Touch Interaction Sensors 1/4 (25%)
  • 2 × Depth Cameras 1/4 (25%)

+ 5 more

Connectivity

  • Wi-Fi 6 2/4 (50%)
  • Bluetooth 5.2 2/4 (50%)
  • Real-time transmission support; wireless standards not officially disclosed 1/4 (25%)
  • 5G 1/4 (25%)
  • Not officially disclosed 1/4 (25%)

AI & Intelligence

MagicLab emotional interaction system and SAGE AI algorithm; AI voice interaction includes offline commands, intercom, music playback, and LLM conversations that may require a paid subscription8-core CPU with 100 TOPS AI processor; MagicLab navigation algorithms, motion-control self-learning, 6D visual servoing, full-body imitation learning, and Atomic Myriad scene-model stack8-core high-performance CPU; MagicLab describes IL/RL-based human-like walking, rapid full-body motion learning, 360° perception, autonomous navigation, and multimodal dialogue, with an optional high-computing module on the development versionUnveiled alongside MagicLab's Magic-Mix world model; public sources do not yet disclose an X1-specific compute stack or onboard model specification
Commercial reality

Pricing, availability, and hard specs

Decision-making gets easier when pricing, availability, and comparable specs are presented as a coherent buying surface instead of disconnected blocks.

Pricing & Availability

3/4

Available now

MagicLab does not currently list public pricing for any of its models. This is common for enterprise-focused and research robotics companies that operate on custom quotes or contact-sales pricing.

Availability Breakdown

3

Actively deployed

1

In active development

Specifications Comparison

Compare the key technical specifications across all MagicLab robots. All data is sourced from manufacturer disclosures and verified against official documentation.

Evaluation

Buyer guidance and plain-language spec decoding

This section translates the raw database into practical evaluation advice, which helps the page feel like expert editorial rather than a raw export.

Buying Guide: Is a MagicLab Robot Right for You?

Choosing the right robot depends on your use case, budget, and technical needs. Here's what to consider when evaluating MagicLab's product line.

Enterprise & Research Buyers

MagicLab serves enterprise and research customers. 4 of their models require contacting sales for pricing, indicating enterprise-tier products with custom deployment support.

Key Factors to Evaluate

Availability

3 of 4 models are currently available. Check individual robot pages for the latest status.

Category Fit

Make sure the robot's category matches your primary use case. Browse all categories.

Sensor Ecosystem

Review the technology section to understand what sensing and connectivity each model offers.

Price Transparency

0 of 4 models list public pricing. For unlisted models, request quotes early.

Ecosystem Compatibility

Some MagicLab robots integrate with third-party platforms. Check compatibility on each robot's page.

Compare Before You Buy

Evaluate MagicLab robots head-to-head or against competitors with our comparison tool.

Compare robots →

MagicLab Specifications Explained

Raw numbers only tell part of the story. Here is a plain-language explanation of what each specification means for the MagicLab robots — and what it means for you as a buyer or researcher.

MagicDog

Specifications Breakdown

Height

56cm standing

With a height of 56cm standing, the MagicDog is designed to operate at a mid-range level — suitable for navigating under tables, around furniture, and through standard doorways without issue. This compact-but-capable size balances visibility with maneuverability.

Weight

15.8kg excluding battery

At 15.8kg excluding battery, the MagicDog balances portability with stability. This weight range is heavy enough for stable operation during tasks but light enough for an adult to reposition if needed. It indicates a robust construction with quality motors and structural components.

Battery Life

1.5-3 hours

The MagicDog offers 1.5-3 hours of battery life per charge. Battery life is one of the most critical real-world performance metrics for any mobile robot. It determines how much work the robot can accomplish in a single session before needing to recharge. For companions robots, this runtime should be evaluated against the size of the area you need covered and the intensity of the tasks involved. Robots with self-charging capability can partially compensate for shorter battery life by autonomously returning to their dock.

Charging Time

Not officially disclosed

The MagicDog requires Not officially disclosed to reach a full charge. Charging time directly impacts the robot's daily operating capacity — faster charging means less downtime and more productive hours. Combined with its battery life, the charge-to-runtime ratio reveals how much of each day the robot can actually spend working versus sitting on its dock.

Max Speed

3.0 m/s

The MagicDog can move at up to 3.0 m/s. Maximum speed affects how quickly the robot can traverse its operating area, respond to commands, and complete tasks. For companions robots, speed must be balanced against safety — faster robots need better obstacle detection and stopping capabilities to prevent collisions and ensure safe operation around people and pets.

AI Platform

MagicLab emotional interaction system and SAGE AI algorithm; AI voice interaction includes offline commands, intercom, music playback, and LLM conversations that may require a paid subscription

The MagicDog runs on MagicLab emotional interaction system and SAGE AI algorithm; AI voice interaction includes offline commands, intercom, music playback, and LLM conversations that may require a paid subscription for its artificial intelligence capabilities. The AI platform determines how intelligently the robot behaves — from basic reactive responses to sophisticated scene understanding, natural language processing, and adaptive learning. A more advanced AI platform generally means better obstacle avoidance, more natural interaction, and the ability to improve performance over time through software updates.

Payload: ≈5kg typical, ≈10kg max

Determines what tools and sensors the robot can carry

Dimensions: 670 × 350 × 560mm standing; 720 × 440 × 290mm lying down

Affects doorway clearance and operating space requirements

Sourced from official MagicLab docs · Full MagicDog specs →

MagicBot Gen1

Specifications Breakdown

Height

174 cm

At 174 cm, the MagicBot Gen1 is roughly the height of an average adult human, which allows it to interact naturally with human-designed environments including countertops, doorways, and shelving at standard heights. This size is important for robots that need to work alongside people in factories, warehouses, or homes.

Weight

Approximately 70 kg

The MagicBot Gen1 weighs Approximately 70 kg. Weight affects stability, portability, floor compatibility, and how the robot interacts with its environment.

Battery Life

3-5 hours

The MagicBot Gen1 offers 3-5 hours of battery life per charge. Battery life is one of the most critical real-world performance metrics for any mobile robot. It determines how much work the robot can accomplish in a single session before needing to recharge. For humanoid robots, this runtime should be evaluated against the size of the area you need covered and the intensity of the tasks involved. Robots with self-charging capability can partially compensate for shorter battery life by autonomously returning to their dock.

Charging Time

3 hours

The MagicBot Gen1 requires 3 hours to reach a full charge. Charging time directly impacts the robot's daily operating capacity — faster charging means less downtime and more productive hours. Combined with its battery life, the charge-to-runtime ratio reveals how much of each day the robot can actually spend working versus sitting on its dock.

Max Speed

≥4 km/h

The MagicBot Gen1 can move at up to ≥4 km/h. Maximum speed affects how quickly the robot can traverse its operating area, respond to commands, and complete tasks. For humanoid robots, speed must be balanced against safety — faster robots need better obstacle detection and stopping capabilities to prevent collisions and ensure safe operation around people and pets.

AI Platform

8-core CPU with 100 TOPS AI processor; MagicLab navigation algorithms, motion-control self-learning, 6D visual servoing, full-body imitation learning, and Atomic Myriad scene-model stack

The MagicBot Gen1 runs on 8-core CPU with 100 TOPS AI processor; MagicLab navigation algorithms, motion-control self-learning, 6D visual servoing, full-body imitation learning, and Atomic Myriad scene-model stack for its artificial intelligence capabilities. The AI platform determines how intelligently the robot behaves — from basic reactive responses to sophisticated scene understanding, natural language processing, and adaptive learning. A more advanced AI platform generally means better obstacle avoidance, more natural interaction, and the ability to improve performance over time through software updates.

Payload: 7.5 kg single-arm load; up to 40 kg total body static load

Determines what tools and sensors the robot can carry

Dimensions: 1740 × 580 × 280 mm standing

Affects doorway clearance and operating space requirements

Sourced from official MagicLab docs · Full MagicBot Gen1 specs →

MagicBot Z1

Specifications Breakdown

Height

136.9 cm standing

With a height of 136.9 cm standing, the MagicBot Z1 is designed to operate at a mid-range level — suitable for navigating under tables, around furniture, and through standard doorways without issue. This compact-but-capable size balances visibility with maneuverability.

Weight

Approximately 40 kg with battery; development version approximately 40 kg+

The MagicBot Z1 weighs Approximately 40 kg with battery; development version approximately 40 kg+. Weight affects stability, portability, floor compatibility, and how the robot interacts with its environment.

Battery Life

Approximately 2 hours

The MagicBot Z1 offers Approximately 2 hours of battery life per charge. Battery life is one of the most critical real-world performance metrics for any mobile robot. It determines how much work the robot can accomplish in a single session before needing to recharge. For humanoid robots, this runtime should be evaluated against the size of the area you need covered and the intensity of the tasks involved. Robots with self-charging capability can partially compensate for shorter battery life by autonomously returning to their dock.

Charging Time

Not officially disclosed

The MagicBot Z1 requires Not officially disclosed to reach a full charge. Charging time directly impacts the robot's daily operating capacity — faster charging means less downtime and more productive hours. Combined with its battery life, the charge-to-runtime ratio reveals how much of each day the robot can actually spend working versus sitting on its dock.

Max Speed

Not officially disclosed

The MagicBot Z1 can move at up to Not officially disclosed. Maximum speed affects how quickly the robot can traverse its operating area, respond to commands, and complete tasks. For humanoid robots, speed must be balanced against safety — faster robots need better obstacle detection and stopping capabilities to prevent collisions and ensure safe operation around people and pets.

AI Platform

8-core high-performance CPU; MagicLab describes IL/RL-based human-like walking, rapid full-body motion learning, 360° perception, autonomous navigation, and multimodal dialogue, with an optional high-computing module on the development version

The MagicBot Z1 runs on 8-core high-performance CPU; MagicLab describes IL/RL-based human-like walking, rapid full-body motion learning, 360° perception, autonomous navigation, and multimodal dialogue, with an optional high-computing module on the development version for its artificial intelligence capabilities. The AI platform determines how intelligently the robot behaves — from basic reactive responses to sophisticated scene understanding, natural language processing, and adaptive learning. A more advanced AI platform generally means better obstacle avoidance, more natural interaction, and the ability to improve performance over time through software updates.

Payload: 2 kg maximum arm load; 3 kg on development version

Determines what tools and sensors the robot can carry

Dimensions: 1369 × 422 × 200 mm standing; 730 × 422 × 395 mm folded

Affects doorway clearance and operating space requirements

Sourced from official MagicLab docs · Full MagicBot Z1 specs →

MagicBot X1

Specifications Breakdown

Height

180 cm

At 180 cm, the MagicBot X1 is roughly the height of an average adult human, which allows it to interact naturally with human-designed environments including countertops, doorways, and shelving at standard heights. This size is important for robots that need to work alongside people in factories, warehouses, or homes.

Weight

70 kg

Weighing 70 kg, the MagicBot X1 is a substantial machine. This weight provides stability during physical tasks and manipulation but means it requires careful consideration for floor loading and may need dedicated charging infrastructure. Industrial-weight robots typically offer higher payload capacity and more robust construction.

Battery Life

Dual-battery system described for 24/7 continuous operation; per-charge runtime not officially disclosed

The MagicBot X1 offers Dual-battery system described for 24/7 continuous operation; per-charge runtime not officially disclosed of battery life per charge. Battery life is one of the most critical real-world performance metrics for any mobile robot. It determines how much work the robot can accomplish in a single session before needing to recharge. For humanoid robots, this runtime should be evaluated against the size of the area you need covered and the intensity of the tasks involved. Robots with self-charging capability can partially compensate for shorter battery life by autonomously returning to their dock.

Charging Time

Not officially disclosed

The MagicBot X1 requires Not officially disclosed to reach a full charge. Charging time directly impacts the robot's daily operating capacity — faster charging means less downtime and more productive hours. Combined with its battery life, the charge-to-runtime ratio reveals how much of each day the robot can actually spend working versus sitting on its dock.

Max Speed

Overall motion speed reported as more than 30% faster than MagicBot Gen1; exact speed not officially disclosed

The MagicBot X1 can move at up to Overall motion speed reported as more than 30% faster than MagicBot Gen1; exact speed not officially disclosed. Maximum speed affects how quickly the robot can traverse its operating area, respond to commands, and complete tasks. For humanoid robots, speed must be balanced against safety — faster robots need better obstacle detection and stopping capabilities to prevent collisions and ensure safe operation around people and pets.

AI Platform

Unveiled alongside MagicLab's Magic-Mix world model; public sources do not yet disclose an X1-specific compute stack or onboard model specification

The MagicBot X1 runs on Unveiled alongside MagicLab's Magic-Mix world model; public sources do not yet disclose an X1-specific compute stack or onboard model specification for its artificial intelligence capabilities. The AI platform determines how intelligently the robot behaves — from basic reactive responses to sophisticated scene understanding, natural language processing, and adaptive learning. A more advanced AI platform generally means better obstacle avoidance, more natural interaction, and the ability to improve performance over time through software updates.

Payload: Not officially disclosed

Determines what tools and sensors the robot can carry

Sourced from official MagicLab docs · Full MagicBot X1 specs →

Market context

Use cases and category landscape

A strong manufacturer page should explain where the lineup fits in the broader robotics market, including who these robots are for and how the surrounding category is moving.

Real-World Use Cases for MagicLab Robots

Understanding how a robot fits into your specific situation is more important than any single specification. Here are the real-world scenarios where MagicLab robots can make a meaningful impact.

Factory and Warehouse Automation

Industrial environments are seeing rapid robot adoption for tasks including picking, packing, inspection, and material transport.

  • Humanoid robots offer the advantage of working in spaces designed for humans without facility modification, while quadrupeds excel at inspection tasks in challenging terrain.
  • Key evaluation criteria include payload capacity, battery life for shift coverage, safety certifications for human-adjacent work, and integration with existing warehouse management systems.

Elder Care and Companionship

For families caring for elderly relatives, companion robots can provide social engagement, activity reminders, medication scheduling, and emergency detection.

  • These robots are designed to be intuitive and non-threatening, often featuring warm, approachable designs.
  • Important factors include voice interaction quality, fall detection capabilities, video calling features for family check-ins, and the robot's ability to learn and adapt to individual routines and preferences over time.

Research and Education Platform

Academic and research teams need robot platforms that offer deep programmability, well-documented APIs, and active community support.

  • Research robots should provide access to raw sensor data, support standard robotics frameworks (ROS/ROS2), and offer simulation environments for algorithm development before deploying on hardware.
  • Consider the platform's track record in published research, available documentation, and whether the manufacturer provides academic pricing or grants.

Household Physical Tasks

Home assistant robots represent the next frontier in domestic automation — robots that can physically interact with your environment.

  • From fetching items to folding laundry, these robots need sophisticated manipulation, reliable navigation, and an understanding of household objects and layouts.
  • This category is still emerging, but early products demonstrate the potential for robots that handle physical chores beyond floor cleaning.

Child Education and Development

Educational robots help children develop STEM skills, coding literacy, and social interaction capabilities.

  • The best educational robots combine engaging personality with genuine learning outcomes, offering age-appropriate programming interfaces and curriculum-aligned content.
  • Consider the robot's content library, parental controls, screen-time management features, and whether it offers progressive learning paths that grow with the child.

Not sure which type of robot fits your needs? Browse our categories guide or use the comparison tool to evaluate options side-by-side.

MagicLab in the Robotics Industry

MagicLab operates in the following robotics segments: companions, humanoid.

Companions Market Landscape

Market Overview

Companion robots fill a unique niche between technology and emotional connection. From robotic pets like Sony's Aibo to social robots like GROOVE X's LOVOT, these machines are designed to provide comfort, engagement, and companionship. The segment serves children, elderly individuals, and anyone seeking the benefits of a pet-like presence without the responsibilities of live animal care.

MagicLab competes in this space with MagicDog.

Key Industry Trends

More sophisticated emotional AI enabling natural social interactions
Therapeutic applications in elderly care and autism support
Enhanced expressiveness through animated eyes, body language, and voice
Privacy-conscious designs that process data locally rather than in the cloud
Integration with health monitoring for elderly users

Common Use Cases for Companions Robots

Companionship for elderly individuals living alone Educational and developmental tool for children Therapeutic support in healthcare and assisted living facilities Pet alternative for people with allergies or housing restrictions Social interaction practice for individuals with autism spectrum conditions

Buyer Considerations

Emotional engagement quality — how naturally does the robot interact and respond
Privacy and data handling — especially important for robots in bedrooms and personal spaces
Durability and repairability for daily handling, especially by children
Battery life and charging convenience for all-day companionship
Ongoing subscription costs for cloud AI features and content updates

Future Outlook

As AI becomes more emotionally intelligent and hardware more expressive, companion robots will become increasingly convincing social partners. The aging population in many countries is creating strong demand for robots that can provide companionship, monitor health, and assist with daily routines. Ethical considerations around emotional attachment to machines will become more prominent.

Humanoid Market Landscape

Market Overview

The humanoid robot market is one of the fastest-growing segments in robotics, driven by advances in AI, computer vision, and actuator technology. Companies from Tesla to Boston Dynamics are racing to create bipedal robots that can work alongside humans in factories, warehouses, and eventually homes. The market is projected to grow significantly through the late 2020s as hardware costs decline and software capabilities improve.

MagicLab competes in this space with MagicBot Gen1, MagicBot Z1, MagicBot X1.

Key Industry Trends

Integration of large language models (LLMs) for natural interaction and task understanding
Transition from research prototypes to commercial deployment in logistics and manufacturing
Decreasing costs through standardized actuator designs and mass production
Whole-body control systems enabling more fluid and natural movement
Teleoperation capabilities for remote task execution and training data collection

Common Use Cases for Humanoid Robots

Warehouse picking and logistics automation Manufacturing line assistance and quality inspection Elderly care and household assistance Hazardous environment operations Research and education platforms Retail and hospitality customer service

Buyer Considerations

Most humanoid robots are still in pre-commercial or limited-deployment stages
Enterprise buyers should evaluate total cost of ownership including integration and maintenance
Payload capacity and battery life are critical differentiators for industrial applications
Software ecosystem and SDK availability determine how customizable the robot is
Safety certifications (ISO 13482, CE marking) are essential for human-adjacent deployment

Future Outlook

The humanoid robotics industry is approaching an inflection point. As AI models become more capable at understanding physical tasks and costs continue to fall, expect to see humanoid robots move from controlled industrial settings into more varied commercial environments by 2027–2028. The key challenges remain battery technology, reliable manipulation, and building public trust.

Systems

Capabilities, sensors, and connectivity

For serious buyers and researchers, the important question is how the stack hangs together: capabilities, sensing, and integration depth all need to read as a coherent system.

MagicLab Robot Capabilities Explained

Understanding what a robot can actually do is more important than raw specifications. Here is a detailed look at the 52 capabilities found across MagicLab's robots.

Additional Capabilities

Bipedal WalkingAutonomous NavigationOTA UpgradesAutonomous Emotional ExpressionVoice, Vision, and Touch InteractionTarget Detection and FollowingSmart Obstacle AvoidanceAll-Terrain Quadruped Locomotion15cm Obstacle Clearance40° Climb AngleHead-Torso CoordinationHuman RecognitionPatrol ModeGraphical ProgrammingPhoto and Video CaptureFacial Expression DisplayAcrobatic MovementsSDK Support on EDU VariantOTA UpdatesMulti-robot CollaborationAutonomous Obstacle AvoidanceManual Mapping and Map ManagementDexterous Manipulation6D Visual ServoingFull-body Imitation LearningVoice Commands and Chatbot InteractionIntelligent Voice GuidanceFace RecognitionGuided Tour CommentaryFactory Material Handling and AssemblyAll-terrain LocomotionSecondary DevelopmentHigh-Dynamic Humanoid MotionWide-Range Joint Motion up to 320°Impact RecoveryProne RecoveryHuman-like Walking with IL/RLMultimodal DialogueOptional 11-DOF Tactile Dexterous HandHandheld Remote ControlScientific Research and EducationSecondary Development on Development VersionBipedal Humanoid Locomotion31 Active Degrees of Freedom450 N·m Maximum Joint TorqueHigh-Dynamic Motion ScenariosHumanoid ManipulationDual-Battery Continuous-Operation ArchitectureStandard Edition for Commercial DeploymentResearch Edition for Secondary DevelopmentCustomizable ConfigurationsIndustrial and Service-Robot Applications

Connectivity & Smart Home Integration

How a robot connects to your network and integrates with your existing smart home determines how useful it will be in practice. MagicLab's robots support 5 connectivity technologies, and third-party integrations.

5G

Next-generation cellular connectivity offering higher bandwidth and lower latency than 4G, enabling real-time cloud computing and remote control.

For buyers

5G enables cloud-based AI processing with minimal delay, real-time teleoperation, and high-bandwidth sensor data streaming. It is becoming important for commercial robots that need reliable, fast connectivity.

Third-Party Compatibility

MagicDog PROMagicDog EDUMagicDog App for iOS and AndroidGraphical programming toolsSDK support on EDU variantAndroid and iOS smartphone/tablet controlControllerSecondary development toolsMagicBot Z1MagicBot Z1 Development VersionMagicBot Z1 App for iOS and AndroidHandheld remote controlSecondary development tools on development versionMagicBot X1 Standard EditionMagicBot X1 Research EditionSecondary development environment for research edition

Learn more about robot connectivity options in our connectivity components guide or browse the full components directory.

Positioning

Competitive posture and regional context

Manufacturer research is stronger when the page moves beyond specs and helps frame strategic position, regional ecosystem, and how the portfolio sits versus peers.

How MagicLab Compares in the Market

How MagicLab positions itself in the competitive landscape — beyond individual products.

Price positioning: MagicLab does not publicly disclose pricing, which is typical for enterprise-focused robotics companies that customize solutions for each deployment. Contact-sales pricing usually indicates a higher-touch customer relationship and tailored support.

Category breadth: MagicLab operates across 2 robot categories (companions, humanoid), indicating a diversified approach to the robotics market. Multi-category companies can leverage shared technology across product lines, potentially offering integrated solutions.

Technology breadth: Across its product line, MagicLab integrates 15 unique sensor types and 52 distinct capabilities. This technology stack determines the range of tasks and environments their robots can handle, and indicates the depth of the company's engineering investment.

Geographic context: Based in China, MagicLab benefits from its country's robotics ecosystem and talent pool. Regional context can affect pricing, availability, support quality, and regulatory compliance in different markets.

Market maturity: MagicLab has a mixed portfolio with 3 commercially available models and 1 still in development. This suggests an active R&D pipeline alongside current production, indicating the company is both serving today's market and investing in future products.

Compare Side by Side

Use the comparison tool or browse the manufacturers directory.

Robotics in China: Where MagicLab Comes From

China has emerged as a robotics superpower, with massive investment in both industrial and consumer robotics.

Companies like Unitree, Xiaomi, and UBTECH are making humanoid and quadruped robots accessible at unprecedented price points. The Chinese government's 'Made in China 2025' and subsequent policies explicitly target robotics as a strategic industry, with goals to become the world's largest producer and consumer of robots. Shenzhen's hardware ecosystem enables rapid prototyping and manufacturing at scale.

MagicLab contributes to China's robotics landscape with 4 models in the companions and humanoid categories.

Key Strengths of the China Robotics Ecosystem

Unmatched manufacturing scale and speed, reducing hardware costs dramatically

Government industrial policy actively promoting robotics development and adoption

Shenzhen's hardware ecosystem enabling rapid iteration from prototype to product

Large domestic market creating demand and generating real-world deployment data

Growing AI research capability with competitive talent from top Chinese universities

Operations

Ownership planning and final takeaways

The page should close with practical ownership guidance, supporting editorial, and a concise summary so the route ends with momentum instead of fatigue.

Owning a MagicLab Robot: What to Expect

Purchasing a robot is the start of an ongoing relationship with technology that requires setup, maintenance, and periodic attention.

Setting Up Your Robot

First-time robot setup varies significantly by category and complexity. Consumer robots like vacuums and lawn mowers typically involve downloading a companion app, connecting to Wi-Fi, and running an initial mapping or boundary setup routine. More complex robots like humanoids or quadrupeds may require professional installation, calibration, and training. Allow extra time for the first session — the robot needs to learn your space, and you need to learn its controls. Most modern robots improve their performance over the first few uses as their maps and AI models refine based on your specific environment.

Ongoing Maintenance Requirements

Every robot requires some level of maintenance to operate at peak performance. For cleaning robots, this includes emptying dustbins, washing filters, replacing brush rolls, and cleaning sensors — typically a few minutes per week. Lawn mowing robots need periodic blade replacements and seasonal cleaning. Legged robots may require joint lubrication and firmware updates. Check the manufacturer's recommended maintenance schedule and factor replacement part costs into your total cost of ownership. Establishing a regular maintenance routine significantly extends the robot's useful life and maintains cleaning or task performance over time.

Software Updates and Long-Term Support

Modern robots receive regular software updates that can add features, improve navigation, fix bugs, and enhance security. When evaluating any robot, consider the manufacturer's track record for software support — how frequently do they release updates, and for how long do they support older models? Some companies provide updates for years after purchase, while others may discontinue support sooner. Cloud-dependent features are particularly important to evaluate: if the manufacturer shuts down cloud services, will your robot still function? Prefer robots with strong local processing capability for long-term reliability.

Safety Considerations

Robot safety encompasses both physical safety (preventing collisions, falls, and injuries) and digital safety (data privacy, network security, camera access). Physically, look for robots with emergency stop mechanisms, collision detection, cliff sensors, and speed-limiting features when operating near people or pets. Digitally, understand what data the robot collects, where it is stored, who can access it, and whether the manufacturer has a clear privacy policy. For robots with cameras and microphones, hardware privacy indicators (LED lights when recording) and physical mute switches provide important transparency and control.

Warranty and After-Sales Support

Robotics purchases represent significant investments, making warranty terms and after-sales support critical evaluation criteria. Standard warranties in the industry range from one to three years, with some manufacturers offering extended warranty options. Beyond warranty length, consider what the warranty covers — some exclude consumable parts like brushes and filters. Also evaluate the manufacturer's service infrastructure: do they have authorized repair centers in your region? Is support available by phone, email, or chat? Response times and repair turnaround times can vary significantly between companies. User community forums and third-party repair guides can supplement official support.

Total Cost of Ownership

The sticker price of a robot is just the beginning. Total cost of ownership includes the initial purchase price, replacement parts and consumables, electricity for charging, any subscription fees for cloud or premium features, and potential repair costs. For commercial robots, add integration, training, and downtime costs. For consumer robots, factor in accessories like extra mop pads, replacement brushes, or boundary accessories. A thorough TCO analysis over the expected product lifetime — typically three to five years for consumer robots and longer for commercial platforms — provides a much more accurate picture of value than purchase price alone.

For model-specific ownership details, visit individual robot pages or contact MagicLab directly.

Deployment Planning for MagicLab Robots

Successful robot deployment depends on preparation that goes well beyond selecting the right model.

Readiness Assessment

At least one MagicLab model carries an available or active status, indicating that procurement conversations can proceed with current product specifications rather than pre-release estimates.
Some models are in development or prototype stages, which means specifications may change before commercial availability. Build schedule buffers into any deployment plan that depends on these models.
No public pricing is currently listed for MagicLab products in this database. Contact the manufacturer directly to request quotes, and ask for itemized pricing that separates hardware, software licensing, support, and integration costs.
The sensor suite across MagicLab's lineup includes 15 distinct sensor types, suggesting meaningful perception capabilities. Validate sensor performance under your specific environmental conditions — manufacturer specifications typically reflect optimal rather than worst-case scenarios.
With 52 distinct capabilities documented across the product line, MagicLab robots offer a broad feature surface. Prioritize capabilities that directly map to your operational requirements and treat additional features as secondary evaluation criteria.
1
Site assessment and environment mapping

Before deploying any robot, conduct a thorough physical assessment of the intended operating environment. Measure doorway widths, identify floor surface transitions, map obstacle patterns, and document lighting conditions. For mobile robots, verify that navigation surfaces are compatible with the robot's locomotion system — wheeled robots need relatively smooth floors, while legged robots can handle more varied terrain but require different clearance profiles. Document Wi-Fi coverage maps and identify dead zones where connectivity-dependent features may fail. Establish a baseline understanding of foot traffic patterns so you can predict human-robot interaction frequency and plan safety zones accordingly.

2
Laboratory and research environment preparation

Research deployments require controlled conditions that differ from commercial settings. Verify that the lab space meets the robot's power requirements, including dedicated circuits for charging stations and any auxiliary computing hardware. Plan for motion capture or external sensor arrays if your research protocol requires ground-truth positioning data. Establish clear demarcation between the robot's active workspace and personnel areas, especially for platforms with manipulator arms or high-speed locomotion capabilities. Document the software development environment requirements, including supported operating systems, SDK dependencies, and network configurations needed for remote operation and data collection.

3
Network infrastructure and cybersecurity planning

Modern robots are networked devices that require thoughtful integration with existing IT infrastructure. Plan a dedicated network segment or VLAN for robot operations to isolate robot traffic from critical business systems. Implement certificate-based authentication where supported, and verify that firmware update mechanisms use signed packages. Establish a security review cadence for robot software components, especially for robots that process camera feeds, microphone input, or personal data. Create an incident response plan specific to robot compromise scenarios — what happens if a robot's navigation system is tampered with, or if sensor data is intercepted? These questions are easier to answer before deployment than during an active incident.

4
Operator training and workflow integration

Even highly autonomous robots require human operators who understand normal behavior, can recognize anomalies, and know when and how to intervene. Develop a training program that covers daily operations (startup, shutdown, charging), routine maintenance (cleaning sensors, checking mechanical wear), and emergency procedures (manual override, safe power-down, physical recovery from stuck positions). Integrate robot operations into existing workflow documentation so that robot tasks and human tasks have clear handoff points. Track operator confidence levels over time and provide refresher training when procedures change or new capabilities are deployed through software updates.

5
Performance benchmarking and acceptance criteria

Define measurable success criteria before the robot arrives. For cleaning robots, this might be coverage percentage and cleaning quality scores. For commercial service robots, track task completion rates, customer interaction quality, and mean time between interventions. For research platforms, establish reproducibility metrics and data quality thresholds. Having objective benchmarks prevents the common failure mode where a robot is judged impressive in demos but disappointing in sustained operation. Create a 30-60-90 day evaluation framework with specific milestones at each stage, and define clear decision points for scaling up, adjusting configuration, or discontinuing the deployment.

6
Regulatory compliance and liability assessment

Deploying a robot in a commercial or public-facing setting triggers regulatory considerations that vary by jurisdiction. Verify compliance with local safety standards for autonomous machines, including emergency stop accessibility, speed limitations in human-occupied spaces, and noise level restrictions. Assess liability coverage — does your existing insurance policy cover robot-caused property damage or personal injury, or do you need a specific rider? For healthcare or eldercare companion deployments, review data privacy regulations that govern the collection and storage of health-related observations. Document your compliance posture before deployment so that auditors and regulators see proactive governance rather than reactive scrambling.

7
Long-term maintenance and total cost modeling

The purchase price of a robot is typically a fraction of the total cost of ownership over its operational lifetime. Model the full cost picture including consumables (filters, brushes, wheels, batteries), scheduled maintenance (sensor calibration, actuator inspection, firmware updates), unscheduled repairs (motor replacement, sensor failure, structural damage), and operational costs (electricity, network bandwidth, operator time). Request maintenance schedules and spare-part pricing from the manufacturer before purchase. For commercial deployments, calculate the break-even point against the labor or service cost the robot replaces, factoring in realistic uptime assumptions rather than manufacturer-stated maximums. Revisit the cost model quarterly as real operating data replaces initial estimates.

Deployment planning is iterative — capture lessons learned and refine your approach as you progress with MagicLab products.

MagicLab: Summary and Key Takeaways

MagicLab is a China-based robotics company with 4 robots tracked on ui44, focused on companions and humanoid robotics
Their robots integrate 15 sensor types, 52 capabilities, and 5 connectivity options across the product line
3 of 4 models are currently available, with the remainder in development or pre-order stages, with pricing available on request
Key sensor technologies include 2D LiDAR, Dual Camera, Depth Camera and 12 more
Notable capabilities span autonomous emotional expression, voice, vision, and touch interaction, target detection and following, smart obstacle avoidance, and 48 additional features

Next Steps

Frequently Asked Questions

What robots does MagicLab make?
MagicLab has 4 robots in the ui44 database: MagicDog, MagicBot Gen1, MagicBot Z1, MagicBot X1. These span the Companions, Humanoid categories.
Where is MagicLab headquartered?
MagicLab is headquartered in China. Browse all manufacturers from China or explore the complete manufacturers directory.
How much do MagicLab robots cost?
MagicLab does not publicly list pricing for any of its robots. This is typical for enterprise and research-focused robotics companies. Contact MagicLab directly for quotes and availability.
Can I buy a MagicLab robot today?
Yes — 3 MagicLab models are currently available or actively deployed: MagicDog (Active), MagicBot Gen1 (Active), MagicBot Z1 (Active). Check each robot's page for the latest purchasing details.
What types of robots does MagicLab specialize in?
MagicLab works across 2 robot categories: Companions, Humanoid. This focus reflects their approach to the home and commercial robotics market.
What can MagicLab robots do?
Across their product line, MagicLab robots offer 52 distinct capabilities including: Autonomous Emotional Expression, Voice, Vision, and Touch Interaction, Target Detection and Following, Smart Obstacle Avoidance, All-Terrain Quadruped Locomotion, 15cm Obstacle Clearance, 40° Climb Angle, Head-Torso Coordination, and 44 more. See each robot's detail page for the full capability breakdown.
What sensors do MagicLab robots use?
MagicLab robots use 15 types of sensors including 2D LiDAR, Dual Camera, Depth Camera, 4K HD Camera, Fisheye Camera, Ultrasonic Sensor, and 9 others. Visit the components directory to see how these compare across the industry.
How current is the MagicLab data on ui44?
All robot data on ui44 is periodically verified against manufacturer sources. The most recent verification for a MagicLab robot was on 2026-05-15. Each robot page includes a "last verified" date so you can gauge data freshness.

Data Integrity

All MagicLab robot data on ui44 is verified against official manufacturer sources, spec sheets, and press releases. Most recent verification: 2026-05-15. Oldest verification in this set: 2026-05-14. If you notice outdated or incorrect data, please let us know — accuracy is our top priority.

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Go beyond the spec sheet

Full specifications, side-by-side comparisons, and buyer guides for every robot.