Commercial model
Pricing not public
No public pricing (development stage). That usually means the final commercial package depends on deployment scope, services, or negotiated terms.
Release
2028 (target)
Price
Price TBA
Connectivity
1
Status
Development
Height
175cm
Weight
70kg
Battery
Hot-swappable (continuous operation)
Speed
1.5 m/s (5.4 km/h)
Payload
Can carry up to 25 kg
Humanoid
Development
MenteeBot
Mentee Robotics' AI-first humanoid robot designed for household and warehouse tasks. Co-founded by Prof. Amnon Shashua (also co-founder of Mobileye) and Prof. Shai Shalev-Shwartz. Features full vertical integration with self-made actuators, Sim2Real learning for lifelike gait, NeRF-based 3D mapping, and LLM-powered task planning. Mobileye announced a definitive agreement to acquire Mentee Robotics in January 2026, with Mentee expected to operate as an independent unit; first customer proof-of-concept deployments are expected in 2026 and series production/commercialization is targeted for 2028. Can be 'mentored' by humans — learning new skills through observation. Hot-swappable battery for continuous operation.
Listed price
Price TBA
No public pricing (development stage)
Release window
2028 (target)
Current status
Development
Mentee Robotics
Last verified
May 26, 2026
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Technical overview
Core specifications and system stack
A fast read on the mechanical profile, sensing package, and platform integrations behind MenteeBot.
Technical Specifications
Height
175cm
Weight
70kg
Dimensions
40 degrees of freedom
Battery Life
Hot-swappable (continuous operation)
Charging Time
Not disclosed
Max Speed
1.5 m/s (5.4 km/h)
Payload
Can carry up to 25 kg
Tech Components
Sensors (5)
Connectivity (1)
Voice Assistants
Operational profile
How this robot is configured
Capabilities
9
Connectivity
1
Key capabilities
Bipedal WalkingDexterous Manipulation (40 DOF)Autonomous NavigationHuman Mentoring (learn by observation)Pick and PlaceTool UseHousehold TasksWarehouse Operations
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Coverage
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About the MenteeBot
5Sensors1Protocol9Capabilities
The MenteeBot is a Humanoid robot built by Mentee Robotics. Mentee Robotics' AI-first humanoid robot designed for household and warehouse tasks. Co-founded by Prof. Amnon Shashua (also co-founder of Mobileye) and Prof. Shai Shalev-Shwartz. Features full vertical integration with self-made actuators, Sim2Real learning for lifelike gait, NeRF-based 3D mapping, and LLM-powered task planning. Mobileye announced a definitive agreement to acquire Mentee Robotics in January 2026, with Mentee expected to operate as an independent unit; first customer proof-of-concept deployments are expected in 2026 and series production/commercialization is targeted for 2028. Can be 'mentored' by humans — learning new skills through observation. Hot-swappable battery for continuous operation.
Pricing has not been publicly disclosed — typical for robots still in development. See all Mentee Robotics robots on the Mentee Robotics page.
Spec Breakdown
Detailed specifications for the MenteeBot
Height
175cmAt 175cm, the MenteeBot is designed to operate in human-scale environments, allowing it to reach countertops, shelves, and interfaces designed for human height.
Weight
70kgWeighing 70kg, the MenteeBot needs to balance mass for stability during bipedal locomotion while remaining light enough for safe human interaction.
Dimensions
40 degrees of freedomThe overall dimensions of 40 degrees of freedom define the robot's physical footprint and determine what spaces it can navigate and what clearances it requires for operation.
Battery Life
Hot-swappable (continuous operation)With a battery life of Hot-swappable (continuous operation), the MenteeBot 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.
Maximum Speed
1.5 m/s (5.4 km/h)A top speed of 1.5 m/s (5.4 km/h) approximates human walking pace, enabling the robot to keep up with people in shared environments.
Payload Capacity
Can carry up to 25 kgA payload capacity of Can carry up to 25 kg 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 MenteeBot uses Sim2Real learning for gait and hand movement; NeRF-based real-time 3D mapping/localization; dynamic navigation; Large Language Models for cognitive mapping and advanced task execution 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.
MenteeBot Sensor Suite
The MenteeBot integrates 5 sensor types, forming the perceptual foundation that enables autonomous operation.
Vision System
Details →
Depth Sensors
Details →
Proprioceptive Sensors
Details →
NeRF-based 3D Mapping
Details →
Motor-based Tactile Sensing (hands)
Details →
This sensor configuration enables the MenteeBot 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
MenteeBot Use Cases & Applications
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.
Capabilities That Enable Real-World Use
The MenteeBot offers 9 distinct capabilities, each contributing to the robot's practical utility.
Bipedal Walking
Dexterous Manipulation (40 DOF)
Autonomous Navigation
Human Mentoring (learn by observation)
Pick and Place
Tool Use
Household Tasks
Warehouse Operations
Carrying up to 25kg
These capabilities work together with the robot's 5 onboard sensor types and Sim2Real learning for gait and hand movement; NeRF-based real-time 3D mapping/localization; dynamic navigation; Large Language Models for cognitive mapping and advanced task execution AI platform to deliver practical, real-world performance.
MenteeBot Capabilities
9
Capabilities
5
Sensor Types
AI
Sim2Real learning for gait a…
Autonomous Navigation
Autonomous navigation allows the MenteeBot 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 MenteeBot's navigation system must handle the specific challenges of its intended deployment scenarios reliably and repeatedly.
Warehouse Operations
Warehouse operations is one of the most commercially validated use cases for humanoid robots. The MenteeBot can navigate warehouse aisles, transport bins and packages between stations, and work alongside human workers on pick-and-pack lines. The human form factor is specifically advantageous here because warehouses are designed around human ergonomics — shelf heights, aisle widths, and tool interfaces all assume a human-shaped operator. Rather than retrofitting the facility for a custom robot, a humanoid like the MenteeBot can slot into existing workflows with minimal infrastructure changes. Key challenges include operating safely at human-worker speeds, handling a wide variety of package sizes and shapes, and maintaining throughput during multi-hour shifts.
Additional Capabilities
Bipedal Walking
Dexterous Manipulation (40 DOF)
Human Mentoring (learn by observation)
Pick and Place
Tool Use
Household Tasks
Carrying up to 25kg
Connectivity & Integration
How the MenteeBot communicates with your network, smart home devices, cloud services, and companion apps.
Network & Communication Protocols
✓ Wi-Fi for local network and cloud access — enabling the MenteeBot to participate in various networking scenarios.
Voice Assistant Integration
Enables hands-free control, smart home device management, and access to each platform's ecosystem of skills and services.
MenteeBot Technology Stack Overview
The MenteeBot by Mentee Robotics integrates 8 distinct technology components across sensing, connectivity, intelligence, and interaction layers. The physical platform features a height of 175cm, a weight of 70kg, a top speed of 1.5 m/s (5.4 km/h), providing the foundation on which this technology stack operates.
Perception — 5 Sensor Types
The perception layer is built on Vision System, Depth Sensors, Proprioceptive Sensors, NeRF-based 3D Mapping, Motor-based Tactile Sensing (hands). 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.
Connectivity — 1 Protocol
For communications, the MenteeBot relies on Wi-Fi. This connectivity stack ensures the robot can communicate with cloud services, local smart home devices, mobile apps, and other networked systems in its environment.
Intelligence — Sim2Real learning for gait and hand movement; NeRF-based real-time 3D mapping/localization; dynamic navigation; Large Language Models for cognitive mapping and advanced task execution
Sim2Real learning for gait and hand movement; NeRF-based real-time 3D mapping/localization; dynamic navigation; Large Language Models for cognitive mapping and advanced task execution 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.
Voice — Voice Interaction
Voice interaction is handled through Voice Interaction, providing natural language understanding and speech synthesis that enable conversational control and integration with broader smart home ecosystems.
Who Should Consider the MenteeBot?
Target Audience
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.
Key Considerations
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
MenteeBot does not currently have publicly listed pricing. As the robot is still in development, pricing will likely be announced closer to market availability.
Availability
DevelopmentThe MenteeBot is currently in active development. Follow Mentee Robotics for updates on when the robot will become available for purchase or pre-order.
MenteeBot: Strengths & Trade-offs
Engineering compromises and where this humanoid robot excels
What the MenteeBot does well
Solid sensor coverage
The MenteeBot integrates 5 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.
Broad capability set
With 9 distinct capabilities, the MenteeBot 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.
Strong mobility performance
A top speed of 1.5 m/s (5.4 km/h) provides the MenteeBot 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.
Substantial payload capacity
With a payload capacity of Can carry up to 25 kg, the MenteeBot 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.
What to consider carefully
Significant weight
At 70kg, the MenteeBot 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.
Undisclosed pricing
Mentee Robotics has not published a public price for the MenteeBot. 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.
Currently in development
The MenteeBot is not yet available as a finished, shipping product. Specifications may change before commercial release, and timelines for availability are subject to revision. Early adopters should account for this uncertainty in their planning.
Note: This strengths and trade-offs assessment is based on the MenteeBot'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 Mentee Robotics manufacturer page or visit the official product page. Use the comparison tool to evaluate these trade-offs against competing robots in the same category.
How Humanoid Robot Technology Works
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.
Navigation & Mobility
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.
The Role of AI
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.
Sensor Fusion & Perception
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.
Power & Battery Management
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 by Design
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.
What's Next for Humanoid Robots
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 MenteeBot by Mentee Robotics incorporates many of these technology pillars. For a detailed look at the specific sensors and components used in the MenteeBot, see the sensor analysis and connectivity sections above, or browse the complete components glossary for explanations of every technology used across the robotics industry.
MenteeBot in the Humanoid Market
How this robot compares in the humanoid landscape
Mentee Robotics has not publicly disclosed pricing for the MenteeBot, which is typical for enterprise-focused robotics platforms that offer customized solutions and direct-sales relationships.
The MenteeBot's 5 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.
As a robot still in development, the MenteeBot represents Mentee Robotics's vision for where humanoid robotics is heading. Specifications may evolve before commercial release, and early performance demonstrations should be evaluated with this context in mind.
Head-to-Head Comparisons
Side-by-side specs, capability overlap analysis, and key differentiators.
For the full picture of Mentee Robotics's portfolio and market strategy, visit the Mentee Robotics manufacturer page.
Deployment Readiness and Procurement Signals for MenteeBot
What the public profile tells you, and what still needs direct vendor confirmation
From a buying and rollout perspective, the MenteeBot should be read as a humanoid platform aimed at human-scale workplaces and pilot automation programs. ui44 currently tracks 9 capability signals, 5 sensor inputs, and a last verification date of 2026-05-26. 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 Mentee Robotics.
Integration posture
1 connectivity option
The profile lists Wi-Fi, plus Sim2Real learning for gait and hand movement; NeRF-based real-time 3D mapping/localization; dynamic navigation; Large Language Models for cognitive mapping and advanced task execution 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 does not yet list formal compatibility targets for this robot.
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 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 MenteeBot 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 Mentee Robotics profile helps anchor this robot inside the wider product lineup.
Before you sign off on a pilot, confirm these points
- Confirm how the charging workflow works in practice, including charger count, swap options, and expected downtime.
- Request concrete API, integration, or workflow examples instead of assuming the robot will drop into an existing stack.
- Check what safety, electrical, or deployment certifications exist for the region and task you care about.
Owning the MenteeBot: Setup, Maintenance & Tips
Practical guide from day one through years of ownership
Initial Setup
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.
Ongoing Maintenance
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.
Software Updates & Long-Term Support
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.
Maximizing Longevity
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 Mentee Robotics-specific support resources and documentation, visit the Mentee Robotics page on ui44 or check the manufacturer's official website at Mentee Robotics's product page.
Frequently Asked Questions
What is the MenteeBot?
The MenteeBot is a Humanoid robot made by Mentee Robotics. Mentee Robotics' AI-first humanoid robot designed for household and warehouse tasks. Co-founded by Prof. Amnon Shashua (also co-founder of Mobileye) and Prof. Shai Shalev-Shwartz. Features full vertical integration with self-made actuators, Sim2Real learning for lifelike gait, NeRF-based 3D mapping, and LLM-powered task planning. Mobileye announced a definitive agreement to acquire Mentee Robotics in January 2026, with Mentee expected to operate as an independent unit; first customer proof-of-concept deployments are expected in 2026 and series production/commercialization is targeted for 2028. Can be 'mentored' by humans — learning new skills through observation. Hot-swappable battery for continuous operation. It features 5 sensor types, 1 connectivity protocols, and 9 distinct capabilities.
How much does the MenteeBot cost?
Mentee Robotics has not disclosed public pricing for the MenteeBot. Pricing is typically announced closer to market release. No public pricing (development stage)
Is the MenteeBot available to buy?
The MenteeBot is currently in active development and is not yet available for purchase. Follow Mentee Robotics for release date announcements.
What sensors does the MenteeBot have?
The MenteeBot is equipped with 5 sensor types: Vision System, Depth Sensors, Proprioceptive Sensors, NeRF-based 3D Mapping, Motor-based Tactile Sensing (hands). These sensors work together through sensor fusion to provide comprehensive environmental awareness for autonomous operation. See the sensor analysis section for details.
How long does the MenteeBot battery last?
The MenteeBot has a rated battery life of Hot-swappable (continuous operation). Actual battery performance may vary based on usage intensity, ambient temperature, and specific tasks being performed. Heavy workloads like continuous navigation and sensor processing will consume battery faster than idle or standby modes.
What AI does the MenteeBot use?
The MenteeBot is powered by Sim2Real learning for gait and hand movement; NeRF-based real-time 3D mapping/localization; dynamic navigation; Large Language Models for cognitive mapping and advanced task execution. This AI platform handles the robot's perception processing, decision-making, and autonomous behavior. The sophistication of the AI directly impacts how well the robot handles unexpected situations, learns from its environment, and improves over time.
How does the MenteeBot compare to the Agile ONE?
The MenteeBot and Agile ONE are both humanoid robots, but they differ in key specifications, pricing, and manufacturer approach. Use the side-by-side comparison tool to see detailed differences in specs, sensors, and capabilities. You can also browse other similar robots below.
Does the MenteeBot work with smart home systems?
The MenteeBot integrates with Voice Interaction for voice-based smart home control. Through these voice platforms, the robot can interact with a wide range of compatible smart home devices.
How current is the MenteeBot data on ui44?
The MenteeBot specifications on ui44 were last verified on 2026-05-26. All data is sourced from official Mentee Robotics documentation, spec sheets, and press releases. If you notice any outdated information, please let us know.
Data Integrity
All MenteeBot data on ui44 is verified against official Mentee Robotics sources, including spec sheets, product pages, and press releases. Last verified: 2026-05-26. Official source: Mentee Robotics product page. If you find outdated or incorrect information, please let us know — accuracy is our top priority.
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