Robot dossier
MagicBot Gen1
Release
Jan 1, 2026
Price
Price TBA
Connectivity
3
Status
Active
Height
174 cm
Weight
Approximately 70 kg
Battery
3-5 hours
Speed
≥4 km/h
Payload
7.5 kg single-arm load; up to 40 kg total body static load
MagicBot Gen1 is MagicLab's full-size general-purpose humanoid robot, shown in the company's CES 2026 debut lineup and positioned for flexible manufacturing, guided-tour, exhibition, and service scenarios. The official product page lists 42 active degrees of freedom, a 7.5 kg single-arm load, up to 40 kg total body static load, 3D LiDAR, depth and fisheye cameras, Wi-Fi 6, 5G, Bluetooth 5.2, voice interaction, face recognition, autonomous navigation, obstacle avoidance, manual mapping, and OTA support. MagicLab's launch materials say Gen1 has demonstrated multi-robot collaborative material handling and assembly in a home-appliance plant, but public pricing and consumer availability are not disclosed.
Listed price
Price TBA
MagicLab has not published public pricing for MagicBot Gen1; the official product page and CES debut release do not list a checkout price.
Release window
Jan 1, 2026
Current status
Active
MagicLab
Last verified
Apr 28, 2026
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Technical overview
A fast read on the mechanical profile, sensing package, and platform integrations behind MagicBot Gen1.
Height
174 cm
Weight
Approximately 70 kg
Dimensions
1740 × 580 × 280 mm standing
Battery Life
3-5 hours
Charging Time
3 hours
Max Speed
≥4 km/h
Payload
7.5 kg single-arm load; up to 40 kg total body static load
Operational profile
Capabilities
16
Connectivity
3
Key capabilities
Ecosystem fit
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The MagicBot Gen1 is a Humanoid robot built by MagicLab. MagicBot Gen1 is MagicLab's full-size general-purpose humanoid robot, shown in the company's CES 2026 debut lineup and positioned for flexible manufacturing, guided-tour, exhibition, and service scenarios. The official product page lists 42 active degrees of freedom, a 7.5 kg single-arm load, up to 40 kg total body static load, 3D LiDAR, depth and fisheye cameras, Wi-Fi 6, 5G, Bluetooth 5.2, voice interaction, face recognition, autonomous navigation, obstacle avoidance, manual mapping, and OTA support. MagicLab's launch materials say Gen1 has demonstrated multi-robot collaborative material handling and assembly in a home-appliance plant, but public pricing and consumer availability are not disclosed.
Pricing has not been publicly disclosed. See all MagicLab robots on the MagicLab page.
Detailed specifications for the MagicBot Gen1
Height
174 cmAt 174 cm, the MagicBot Gen1 is designed to operate in human-scale environments, allowing it to reach countertops, shelves, and interfaces designed for human height.
Weight
Approximately 70 kgWeighing Approximately 70 kg, the MagicBot Gen1 needs to balance mass for stability during bipedal locomotion while remaining light enough for safe human interaction.
Dimensions
1740 × 580 × 280 mm standingThe overall dimensions of 1740 × 580 × 280 mm standing define the robot's physical footprint and determine what spaces it can navigate and what clearances it requires for operation.
Battery Life
3-5 hoursWith a battery life of 3-5 hours, the MagicBot Gen1 can operate for sustained periods before requiring a recharge. Battery life is measured under typical operating conditions and may vary based on workload intensity and environmental factors.
Charging Time
3 hoursA charging time of 3 hours means the ratio of operation to downtime is an important consideration for applications requiring near-continuous availability. Some deployments use multiple robots in rotation to maintain uninterrupted service.
Maximum Speed
≥4 km/hA top speed of ≥4 km/h approximates human walking pace, enabling the robot to keep up with people in shared environments.
Payload Capacity
7.5 kg single-arm load; up to 40 kg total body static loadA payload capacity of 7.5 kg single-arm load; up to 40 kg total body static load determines what the robot can carry or manipulate. This is a critical spec for manipulation tasks, determining what objects the robot can lift, carry, and work with.
The MagicBot Gen1 uses 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 as its intelligence backbone. This AI platform powers the robot's decision-making, perception processing, and autonomous behavior. The sophistication of the AI stack directly impacts how well the robot handles unexpected situations and adapts to new environments.
The MagicBot Gen1 integrates 4 sensor types, forming the perceptual foundation that enables autonomous operation.
This sensor configuration enables the MagicBot Gen1 to perceive its 3D environment, recognize objects and people, navigate complex spaces, and perform precise manipulation tasks. Multiple sensor modalities provide redundancy and more robust perception than any single sensor type alone.
Explore sensor technologies: components glossary · full components directory
Humanoid robots are designed for environments built for humans — warehouses, factories, healthcare facilities, and eventually homes. Their bipedal form allows them to navigate stairs, doorways, and workspaces designed for human bodies without requiring environmental modifications.
The MagicBot Gen1 offers 16 distinct capabilities, each contributing to the robot's practical utility.
These capabilities work together with the robot's 4 onboard sensor types and 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 AI platform to deliver practical, real-world performance.
The MagicBot Gen1 integrates with the following platforms and ecosystems, extending its utility beyond standalone operation.
This ecosystem compatibility enables the MagicBot Gen1 to work as part of a broader automation setup rather than operating in isolation.
16
Capabilities
4
Sensor Types
AI
8-core CPU with 100 TOPS AI …
Autonomous navigation allows the MagicBot Gen1 to move through its environment without human guidance, planning efficient paths around obstacles and adapting to changes in real time. For a humanoid robot, this involves simultaneous localization and mapping (SLAM) to build and maintain environmental models, path planning algorithms to find efficient routes, and reactive obstacle avoidance for unexpected situations. The complexity of autonomous navigation scales dramatically with the environment — navigating a structured warehouse is substantially different from navigating a cluttered home or outdoor space. The MagicBot Gen1's navigation system must handle the specific challenges of its intended deployment scenarios reliably and repeatedly.
How the MagicBot Gen1 communicates with your network, smart home devices, cloud services, and companion apps.
The MagicBot Gen1 by MagicLab integrates 8 distinct technology components across sensing, connectivity, intelligence, and interaction layers. The physical platform features a height of 174 cm, a weight of Approximately 70 kg, a top speed of ≥4 km/h, providing the foundation on which this technology stack operates.
The perception layer is built on 3D LiDAR, 2 × Depth Cameras, 3 × Fisheye Cameras, Omnidirectional Microphone Array. These work in concert to give the robot a detailed understanding of its operating environment. This multi-sensor approach provides redundancy and enables the robot to function reliably even when individual sensors encounter challenging conditions such as low light, reflective surfaces, or cluttered spaces.
For communications, the MagicBot Gen1 relies on Wi-Fi 6, 5G, Bluetooth 5.2. This connectivity stack ensures the robot can communicate with cloud services, local smart home devices, mobile apps, and other networked systems in its environment.
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 serves as the computational brain, processing sensor data, making navigation decisions, and orchestrating the robot's autonomous behaviors. The quality of this AI platform directly influences how well the robot handles novel situations, adapts to changes in its environment, and improves its performance over time through learning.
Humanoid robots are typically targeted at enterprise customers, research institutions, and forward-thinking businesses looking to automate tasks that require human-like form and dexterity. While some models are approaching consumer pricing, the majority remain in the commercial and industrial space.
When evaluating a humanoid robot, payload capacity, degrees of freedom, and manipulation dexterity are critical factors. Battery life and charging time determine operational uptime. The AI platform determines how well the robot can adapt to new tasks and environments. Consider whether the robot needs to work alongside humans (requiring safety certifications) or will operate independently.
Pricing
The MagicBot Gen1 has a status of Active. Check with MagicLab for the latest availability details.
Engineering compromises and where this humanoid robot excels
The MagicBot Gen1 integrates 4 sensor types, providing good perceptual coverage for its intended applications. This sensor complement covers the essential modalities needed for effective humanoid operation while keeping complexity manageable.
With 16 distinct capabilities, the MagicBot Gen1 is designed as a versatile platform rather than a single-task device. This breadth means the robot can handle varied scenarios and workflows, reducing the need for multiple specialized robots and increasing its utility across different situations.
A battery life of 3-5 hours provides substantial operational runway. For humanoid applications, this means longer work sessions between charges, fewer interruptions, and the ability to complete larger tasks or cover more area in a single charge cycle.
With a payload capacity of 7.5 kg single-arm load; up to 40 kg total body static load, the MagicBot Gen1 can handle meaningful physical tasks. This capacity enables practical applications like carrying tools, transporting materials, or supporting equipment mounts that lighter robots simply cannot accommodate.
At Approximately 70 kg, the MagicBot Gen1 is a substantial piece of equipment. This weight contributes to stability and robustness but also means the robot requires careful consideration of floor load limits, transportation logistics, and the potential impact force in the event of unexpected contact with people or objects.
MagicLab has not published a public price for the MagicBot Gen1. While common for enterprise-class robotics, the absence of transparent pricing can complicate budgeting and comparison shopping. Prospective buyers will need to engage directly with the manufacturer for quotes, which may vary by configuration and volume.
Note: This strengths and trade-offs assessment is based on the MagicBot Gen1's documented specifications as tracked in the ui44 database. Real-world performance depends on deployment conditions, firmware maturity, and environmental factors. For the most current information, check the MagicLab manufacturer page or visit the official product page. Use the comparison tool to evaluate these trade-offs against competing robots in the same category.
Understanding the engineering behind this category
Humanoid robots represent one of the most technically ambitious categories in robotics. Building a machine that walks, balances, manipulates objects, and interacts naturally with humans requires breakthroughs across multiple engineering disciplines simultaneously. Understanding the technology behind humanoid robots helps buyers and enthusiasts appreciate both the capabilities and limitations of current systems.
Humanoid robots navigate using a combination of visual SLAM (Simultaneous Localization and Mapping), depth sensing, and inertial measurement. Unlike wheeled robots that simply avoid obstacles, humanoids must plan footstep placement, maintain dynamic balance on uneven surfaces, and anticipate terrain changes. Advanced systems use predictive models to plan several steps ahead, similar to how humans unconsciously adjust their gait when approaching stairs or rough ground. The computational requirements for real-time bipedal navigation are substantial, often requiring dedicated motion-planning processors separate from the main AI system.
Artificial intelligence in humanoid robots serves multiple roles: high-level task planning (understanding what needs to be done), perception (recognizing objects, people, and environments), manipulation planning (figuring out how to grasp and move objects), and social interaction (understanding speech, gestures, and context). Modern humanoids increasingly use large language models and vision-language models for task understanding, allowing them to interpret natural language instructions and generalize to new tasks without explicit programming for each scenario.
The sensor suite in a humanoid robot must provide comprehensive environmental awareness while maintaining real-time processing speeds. Sensor fusion algorithms combine data from cameras, LiDAR, depth sensors, force/torque sensors, and IMUs to create a unified model of the robot's surroundings. This multi-modal perception is critical because no single sensor type works perfectly in all conditions — cameras struggle in darkness, LiDAR cannot distinguish materials, and touch sensors only detect what the robot physically contacts. By combining these inputs, the robot achieves more robust and reliable perception than any individual sensor could provide.
Battery technology is one of the primary limiting factors for humanoid robots. Bipedal locomotion is inherently energy-intensive — maintaining balance requires constant motor activity even when standing still. Current lithium-ion battery packs typically provide two to four hours of active operation, with charging times that can match or exceed operational time. Research into more efficient actuators, energy-harvesting techniques, and advanced battery chemistries aims to extend operational windows. Some commercial deployments address this limitation through battery-swap systems or scheduled charging rotations.
Safety in humanoid robotics is paramount because these robots operate in close proximity to humans. Design approaches include compliant actuators that absorb impact forces, real-time collision prediction systems, force-limited joints that automatically reduce power when unexpected contact occurs, and emergency stop mechanisms accessible to nearby humans. International safety standards like ISO 13482 for personal care robots provide frameworks for evaluating safety, but the field is still developing standards specific to general-purpose humanoid systems. Buyers should inquire about safety testing, certifications, and the robot's behavior in failure modes.
The humanoid robotics field is advancing rapidly on multiple fronts. Improvements in foundation models are enabling more generalizable intelligence. New actuator designs are making robots lighter and more efficient. Manufacturing scale is driving down costs. Over the next several years, expect humanoid robots to transition from controlled industrial environments to more varied commercial and eventually residential settings. The convergence of better AI, cheaper hardware, and proven deployment experience will accelerate adoption across industries.
The MagicBot Gen1 by MagicLab incorporates many of these technology pillars. For a detailed look at the specific sensors and components used in the MagicBot Gen1, see the sensor analysis and connectivity sections above, or browse the complete components glossary for explanations of every technology used across the robotics industry.
How this robot compares in the humanoid landscape
MagicLab has not publicly disclosed pricing for the MagicBot Gen1, which is typical for enterprise-focused robotics platforms that offer customized solutions and direct-sales relationships.
The MagicBot Gen1's 4 sensor types provide solid perceptual coverage for its intended use cases. This mid-range sensor suite balances cost with capability, covering the essential modalities needed for humanoid applications.
Being currently available for purchase gives the MagicBot Gen1 a practical advantage over competitors still in development or prototype stages. Buyers can evaluate the actual product rather than relying on spec-sheet promises that may change before release.
Side-by-side specs, capability overlap analysis, and key differentiators.
For the full picture of MagicLab's portfolio and market strategy, visit the MagicLab manufacturer page.
What the public profile tells you, and what still needs direct vendor confirmation
From a buying and rollout perspective, the MagicBot Gen1 should be read as a humanoid platform aimed at human-scale workplaces and pilot automation programs. ui44 currently tracks 16 capability signals, 4 sensor inputs, and a last verification date of 2026-04-28. That mix gives buyers a useful first-pass picture, but it is still only the public layer of due diligence, especially when procurement, uptime, and support commitments are decided directly with MagicLab.
Commercial model
Pricing not public
MagicLab has not published public pricing for MagicBot Gen1; the official product page and CES debut release do not list a checkout price.. That usually means the final commercial package depends on deployment scope, services, or negotiated terms.
Integration posture
3 connectivity options
The profile lists Wi-Fi 6, 5G, Bluetooth 5.2, plus 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 as the AI stack. That is enough to infer the basic network posture, but buyers should still confirm APIs, fleet management, and workflow integration details. ui44 currently tracks 3 declared compatibility links.
Spec disclosure
7/7 core specs public
The profile exposes the full operating-envelope set that ui44 tracks for this section, giving buyers a relatively clear starting point for technical validation.
The current profile is detailed enough to support early comparison work, shortlist creation, and cross-checking against other humanoid robots. It is still worth validating the final deployment package, because integration services, support coverage, software entitlements, and site-preparation requirements often sit outside the raw hardware spec sheet.
If you want a faster apples-to-apples read, compare the MagicBot Gen1 against nearby alternatives in ui44's compare view, then cross-check the underlying AI, sensor, and subsystem terms in the components glossary. For manufacturer-level context, the MagicLab profile helps anchor this robot inside the wider product lineup.
Practical guide from day one through years of ownership
Setting up a humanoid robot is substantially more involved than plug-and-play consumer devices. Expect a professional installation or guided setup process that includes physical unpacking and assembly (if shipped disassembled), initial calibration of joints and sensors, environment mapping and safety zone definition, network and cloud service configuration, and application-specific programming or task teaching. Plan for several hours to a full day of setup time, and budget for potential integration consulting if the robot needs to connect with existing systems. The manufacturer or a certified integrator should provide training on safe operation, emergency procedures, and basic troubleshooting.
Humanoid robots require regular maintenance to ensure safe and reliable operation. Monthly maintenance typically includes visual inspection of joints and actuators for wear, sensor cleaning (especially cameras and LiDAR), firmware and software updates, battery health checks, and calibration verification. Quarterly maintenance may include more thorough mechanical inspection, lubrication of moving parts, and performance benchmarking to detect gradual degradation. Keep a maintenance log and follow the manufacturer's recommended schedule precisely — humanoid robots are complex systems where small issues can cascade if not addressed promptly.
Humanoid robot software is evolving rapidly, and regular updates can significantly improve performance, add new capabilities, and patch security vulnerabilities. Most manufacturers provide over-the-air updates, but enterprise deployments may require staging and testing updates before rolling them out. Evaluate the manufacturer's update track record — frequent, well-documented updates indicate active development and long-term commitment. Be aware that major software updates may require recalibration or retraining of custom behaviors.
To maximize the useful life of a humanoid robot, avoid operating beyond specified payload limits, maintain a controlled environment (temperature, humidity), keep sensors clean and unobstructed, and address any unusual sounds or behaviors promptly. Battery longevity is improved by avoiding deep discharges and extreme temperatures during charging. Investing in a service contract with the manufacturer or a certified partner provides access to replacement parts and expertise that can extend the robot's productive life significantly beyond the standard warranty period.
For MagicLab-specific support resources and documentation, visit the MagicLab page on ui44 or check the manufacturer's official website at MagicLab's product page.
All MagicBot Gen1 data on ui44 is verified against official MagicLab sources, including spec sheets, product pages, and press releases. Last verified: 2026-04-28. Official source: MagicLab product page. If you find outdated or incorrect information, please let us know — accuracy is our top priority.
See how the MagicBot Gen1 stacks up — compare specs, browse the humanoid category, or search the full database.