Robot dossier
MagicDog
Release
Jan 1, 2026
Price
Price TBA
Connectivity
1
Status
Active
Height
56cm standing
Weight
15.8kg excluding battery
Battery
1.5-3 hours
Speed
3.0 m/s
Payload
≈5kg typical, ≈10kg max
MagicDog is MagicLab's quadruped companion robot dog, presented during the company's CES 2026 debut and described by MagicLab as a robot dog that can autonomously express emotions. The official product page lists PRO and EDU variants with MagicLab's emotional interaction system, SAGE AI algorithm, voice/vision/touch interaction, target following, obstacle navigation, graphical programming, 13 degrees of freedom, and a 4K head camera for photo and video capture. CES directory materials also listed MagicDog in MagicLab's CES robotics demonstrations, including a MagicDog group-dance performance alongside the company's Z1 and Gen1 robots.
Listed price
Price TBA
MagicLab has not published public pricing for MagicDog; the official product page lists PRO and EDU variants but no checkout price.
Release window
Jan 1, 2026
Current status
Active
MagicLab
Last verified
Apr 25, 2026
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Technical overview
A fast read on the mechanical profile, sensing package, and platform integrations behind MagicDog.
Height
56cm standing
Weight
15.8kg excluding battery
Dimensions
670 × 350 × 560mm standing; 720 × 440 × 290mm lying down
Battery Life
1.5-3 hours
Charging Time
Not officially disclosed
Max Speed
3.0 m/s
Payload
≈5kg typical, ≈10kg max
Operational profile
Capabilities
16
Connectivity
1
Key capabilities
Ecosystem fit
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The MagicDog is a Companions robot built by MagicLab. MagicDog is MagicLab's quadruped companion robot dog, presented during the company's CES 2026 debut and described by MagicLab as a robot dog that can autonomously express emotions. The official product page lists PRO and EDU variants with MagicLab's emotional interaction system, SAGE AI algorithm, voice/vision/touch interaction, target following, obstacle navigation, graphical programming, 13 degrees of freedom, and a 4K head camera for photo and video capture. CES directory materials also listed MagicDog in MagicLab's CES robotics demonstrations, including a MagicDog group-dance performance alongside the company's Z1 and Gen1 robots.
Pricing has not been publicly disclosed. See all MagicLab robots on the MagicLab page.
Detailed specifications for the MagicDog
Height
56cm standingAt 56cm standing, the MagicDog is sized for its intended operating environment and use cases.
Weight
15.8kg excluding batteryWeighing 15.8kg excluding battery, the MagicDog balances structural integrity with portability and maneuverability.
Dimensions
670 × 350 × 560mm standing; 720 × 440 × 290mm lying downThe overall dimensions of 670 × 350 × 560mm standing; 720 × 440 × 290mm lying down define the robot's physical footprint and determine what spaces it can navigate and what clearances it requires for operation.
Battery Life
1.5-3 hoursWith a battery life of 1.5-3 hours, the MagicDog 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
Not officially disclosedA charging time of Not officially disclosed 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
3.0 m/sA top speed of 3.0 m/s is calibrated for the robot's primary operating environment and safety requirements.
Payload Capacity
≈5kg typical, ≈10kg maxA payload capacity of ≈5kg typical, ≈10kg max determines what the robot can carry or manipulate. This is a critical spec for practical applications where the robot needs to handle physical objects.
The MagicDog uses 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 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 MagicDog integrates 8 sensor types, forming the perceptual foundation that enables autonomous operation.
This sensor configuration enables the MagicDog to perceive its environment and operate autonomously in its intended use cases. Multiple sensor modalities provide redundancy and more robust perception than any single sensor type alone.
Explore sensor technologies: components glossary · full components directory
Companion robots provide social interaction, emotional support, and entertainment. Unlike utility robots, their primary value proposition is the relationship they build with their owner. The best companions learn preferences, develop personalities, and create genuine emotional connections.
The MagicDog offers 16 distinct capabilities, each contributing to the robot's practical utility.
These capabilities work together with the robot's 8 onboard sensor types and 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 AI platform to deliver practical, real-world performance.
The MagicDog integrates with the following platforms and ecosystems, extending its utility beyond standalone operation.
This ecosystem compatibility enables the MagicDog to work as part of a broader automation setup rather than operating in isolation.
16
Capabilities
8
Sensor Types
AI
MagicLab emotional interacti…
How the MagicDog communicates with your network, smart home devices, cloud services, and companion apps.
The MagicDog by MagicLab integrates 10 distinct technology components across sensing, connectivity, intelligence, and interaction layers. The physical platform features a height of 56cm standing, a weight of 15.8kg excluding battery, a top speed of 3.0 m/s, providing the foundation on which this technology stack operates.
The perception layer is built on 2D LiDAR, Dual Camera, Depth Camera, 4K HD Camera, Fisheye Camera, Ultrasonic Sensor, Microphone Array, Touch Interaction Sensors. 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 MagicDog relies on Real-time transmission support; wireless standards not officially disclosed. This connectivity stack ensures the robot can communicate with cloud services, local smart home devices, mobile apps, and other networked systems in its environment.
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 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.
Social and companion robots are purchased by families, elderly individuals, and tech enthusiasts looking for interactive, emotionally engaging robotic pets or social companions. They are particularly popular in Japan and increasingly in senior care contexts worldwide.
Emotional expressiveness, interaction quality, voice recognition, personality development over time, and durability (especially for children) are what matter most. Privacy controls for cameras and microphones are increasingly important. Battery life determines how available the companion is throughout the day.
Pricing
The MagicDog has a status of Active. Check with MagicLab for the latest availability details.
Engineering compromises and where this companions robot excels
With 8 sensor types onboard, the MagicDog has one of the more comprehensive perception systems in the companions category. This multi-modal approach enables robust environmental awareness, redundant obstacle detection, and reliable autonomous operation even in challenging conditions. More sensor diversity generally translates to better real-world adaptability.
With 16 distinct capabilities, the MagicDog 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 1.5-3 hours provides substantial operational runway. For companions 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.
A top speed of 3.0 m/s provides the MagicDog with the agility to cover ground efficiently. This is particularly valuable for applications that require rapid response, large-area coverage, or keeping pace with human movement in shared environments.
With a payload capacity of ≈5kg typical, ≈10kg max, the MagicDog 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.
MagicLab has not published a public price for the MagicDog. 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 MagicDog'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
Companion robots sit at the intersection of engineering and emotional design. Unlike utility robots measured by specifications like suction power or payload capacity, companion robots are judged by how well they make people feel — their expressiveness, responsiveness, personality, and ability to form genuine-seeming bonds with their owners. The technology behind these emotional machines is surprisingly sophisticated, drawing from psychology, animation, and cutting-edge AI.
Companion robots typically operate in confined indoor spaces and prioritize safe, predictable movement over sophisticated mapping. Most use simple but effective navigation combining bump sensors, cliff detection, and basic obstacle avoidance. Some advanced models incorporate camera-based person-following — the ability to track and follow a specific person through rooms. Unlike utility robots that need systematic coverage, companion robots navigate toward social engagement: moving toward voices, approaching detected family members, or positioning themselves for optimal interaction. The movement itself is often designed to convey personality — a curious robot might lean forward when exploring, while a timid one might approach cautiously.
AI is the heart of a companion robot's appeal. Emotion recognition systems analyze facial expressions, voice tone, and behavioral patterns to infer the user's emotional state and respond appropriately. Natural language processing enables conversational interaction that goes beyond simple command-response patterns. Personality systems create consistent behavioral traits that make the robot feel like an individual rather than a generic device. Machine learning allows the robot to adapt to its owner's preferences, schedule, and interaction style over time. The most advanced companion robots use generative AI to create novel responses and behaviors rather than relying solely on pre-programmed scripts, making interactions feel more natural and less repetitive.
Companion robot sensors prioritize social perception over environmental mapping. Cameras detect faces, read expressions, and enable recognition of family members. Microphone arrays with beamforming capture and localize voice from across a room, enabling natural conversation without shouting. Touch sensors across the body detect petting, hugging, and other physical interaction, triggering appropriate emotional responses. Some models include heart-rate or breathing-rate sensors in their touch surfaces, enabling health-monitoring features for elderly users. Temperature and light sensors help the robot understand context — bedtime versus activity time — and adjust its behavior accordingly.
Companion robots need to be available throughout the day to maintain the social bond with their owner. Battery life of eight hours or more is typical, with automatic return-to-charging-dock behavior when levels drop. Power management is designed to be invisible — the robot should seem always available and never interrupt a social moment to announce low battery. Some companion robots use sleep modes during inactive periods, with motion or sound detection to wake instantly when the owner approaches. Charging docks often double as the robot's designated resting spot, making the charging behavior feel natural rather than mechanical.
Companion robots prioritize child and elderly safety with rounded corners, pinch-free joint designs, and materials safe for skin contact. Emotional safety is equally important — companion robots are designed to never express anger, fear, or distress in ways that could upset vulnerable users. Privacy features include physical camera covers, microphone mute buttons, and transparent data handling policies. For elderly users, companion robots may include fall-detection alerts, activity monitoring, and remote check-in features that balance safety with privacy. The robot's emotional responses are carefully calibrated to avoid over-attachment or dependency concerns.
Companion robotics is evolving toward more nuanced emotional intelligence, deeper personalization, and expanded health-monitoring capabilities. Advances in generative AI are enabling more natural and varied conversational interaction. Future companion robots may serve as health monitoring platforms that detect changes in an owner's mood, activity levels, or cognitive patterns — providing early warning of health issues to family members or caregivers. The integration of companion features into utility robots (and vice versa) may blur category boundaries, creating household robots that are both helpful and emotionally engaging.
The MagicDog by MagicLab incorporates many of these technology pillars. For a detailed look at the specific sensors and components used in the MagicDog, 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 companions landscape
MagicLab has not publicly disclosed pricing for the MagicDog, which is typical for enterprise-focused robotics platforms that offer customized solutions and direct-sales relationships.
With 8 sensor types, the MagicDog has an extensive sensor suite. This comprehensive sensing capability places it among the more perception-capable robots in the companions category, enabling more robust autonomous operation in varied conditions.
Being currently available for purchase gives the MagicDog 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 MagicDog should be read as a companions platform aimed at social, education, or care environments where interaction quality matters. ui44 currently tracks 16 capability signals, 8 sensor inputs, and a last verification date of 2026-04-25. 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 MagicDog; the official product page lists PRO and EDU variants but no checkout price.. That usually means the final commercial package depends on deployment scope, services, or negotiated terms.
Integration posture
1 connectivity option
The profile lists Real-time transmission support; wireless standards not officially disclosed, plus 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 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 4 declared compatibility links.
Spec disclosure
6/7 core specs public
ui44 currently has 6 of 7 core physical and operating specs filled in for this model, leaving 1 gap that matter for deployment planning. Missing runtime, charge, speed, or payload details can materially change staffing and site-readiness assumptions.
The current profile is detailed enough to support early comparison work, shortlist creation, and cross-checking against other companions 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 MagicDog 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
Companion robot setup is designed to be simple and engaging — the first interaction sets the tone for the relationship. Typical setup involves charging the robot, downloading the companion app, connecting to Wi-Fi, and going through an introduction sequence where the robot learns your face and name. Many companion robots have a personality development phase during the first few days, where they become more responsive and personalized as they learn your voice, habits, and preferences. Place the charging dock in a social area where the robot can be part of daily life rather than tucked away in a corner. Introduce the robot to all family members during setup so it can learn to recognize everyone.
Companion robots generally require minimal maintenance. Weekly care includes wiping the exterior with a soft cloth, checking that sensors and cameras are clean, and ensuring the charging dock area is clear. Monthly tasks include checking for and installing software updates, cleaning any microphone or speaker grilles, and inspecting the wheels or locomotion system for hair or debris. The emotional design means that maintenance should feel like care rather than servicing — many owners naturally incorporate it into their interaction with the robot.
Software updates for companion robots often add new behaviors, expressions, voice capabilities, and interaction patterns. These updates keep the relationship fresh and can significantly enhance the robot's emotional range and social intelligence over time. Most companion robots update automatically during sleep or charging periods. Some manufacturers offer premium content subscriptions that add seasonal behaviors, educational content, or language capabilities.
Companion robots typically last three to five years or more with gentle handling. The primary concerns are battery health and physical wear from daily interaction. Avoid dropping the robot or handling it roughly, especially the camera and sensor areas. Keep the robot away from water and extreme temperatures. Battery life will gradually decrease over time; contact the manufacturer about battery replacement options when charging becomes noticeably more frequent. For children's companion robots, supervise initial interactions to establish gentle handling habits.
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 MagicDog data on ui44 is verified against official MagicLab sources, including spec sheets, product pages, and press releases. Last verified: 2026-04-25. Official source: MagicLab product page. If you find outdated or incorrect information, please let us know — accuracy is our top priority.
See how the MagicDog stacks up — compare specs, browse the companions category, or search the full database.