# MenteeBot

> Source: https://aiwiki.ai/wiki/mentee_robotics_menteebot
> Updated: 2026-04-30
> Categories: Humanoid Robots, Robotics
> From AI Wiki (https://aiwiki.ai), a free encyclopedia of artificial intelligence. Quote with attribution.

# MenteeBot

| MenteeBot | |
| --- | --- |
| General information | |
| **Manufacturer** | [Mentee Robotics](/wiki/mentee_robotics) |
| **Country of origin** | Israel |
| **Year unveiled** | 2024 |
| **Status** | Succeeded by [MenteeBot V3](/wiki/mentee_robotics_menteebot_v3) |
| **Type** | [Humanoid robot](/wiki/humanoid_robots) |
| **Website** | [menteebot.com](https://www.menteebot.com/) |

**MenteeBot** is a general-purpose [humanoid robot](/wiki/humanoid_robots) developed by [Mentee Robotics](/wiki/mentee_robotics), an Israeli [artificial intelligence](/wiki/artificial_intelligence) and robotics startup headquartered in Herzliya, near Tel Aviv. The robot was publicly unveiled on April 17, 2024, after approximately two years of stealth development, and represented one of the first humanoid platforms designed from the ground up with an "AI-first" architecture. Standing 175 cm tall and weighing 70 kg, the original MenteeBot integrated [large language models](/wiki/large_language_model) for task planning, [neural radiance field](/wiki/nerf) (NeRF) algorithms for real-time 3D mapping, and simulator-to-reality ([Sim2Real](/wiki/sim2real)) [reinforcement learning](/wiki/reinforcement_learning) for locomotion and manipulation.

Mentee Robotics was co-founded in late 2022 by Professor [Amnon Shashua](/wiki/amnon_shashua) (chairman of Mentee and president/CEO of [Mobileye](/wiki/mobileye)), Professor Lior Wolf (CEO of Mentee and former director at [Facebook AI Research](/wiki/meta_ai)), and Professor Shai Shalev-Shwartz (chief scientist of Mentee and CTO of Mobileye). The original MenteeBot served as the company's proof-of-concept platform through 2024, demonstrating end-to-end autonomous task completion in household and warehouse scenarios. It was succeeded by the significantly upgraded [MenteeBot V3](/wiki/mentee_robotics_menteebot_v3), unveiled in February 2025, which featured 360-degree vision, a hot-swappable battery system, and redesigned hands.[1][2][3]

## Background and founding

### Mentee Robotics and the founders

Mentee Robotics was established in late 2022 by three prominent figures from Israel's AI research community, each bringing decades of experience in [computer vision](/wiki/computer_vision), [machine learning](/wiki/machine_learning), and [autonomous driving](/wiki/autonomous_vehicle) technology.

Professor Amnon Shashua, the company's chairman, is one of Israel's most influential technologists. He co-founded Mobileye in 1999, building it into the world's leading provider of camera-based advanced driver-assistance systems ([ADAS](/wiki/adas)). Intel acquired Mobileye for $15.3 billion in 2017, and the company was re-listed on the [NASDAQ](/wiki/nasdaq) stock exchange in October 2022 with Shashua continuing as president and CEO. Beyond Mobileye, Shashua co-founded [OrCam](/wiki/orcam) in 2010 (an assistive vision technology company for the visually impaired) and co-founded [AI21 Labs](/wiki/ai21_labs) in 2017 (a developer of enterprise-grade large language models). He holds the Sachs Professorship in Computer Science at the Hebrew University of Jerusalem and was elected to the U.S. National Academy of Engineering in 2026.[4][5]

Professor Lior Wolf, the company's CEO, is a full professor at Tel Aviv University's School of Computer Science who previously served as a research scientist and director at Facebook AI Research (FAIR). His academic work spans computer vision, [deep learning](/wiki/deep_learning), and [natural language processing](/wiki/natural_language_processing), providing Mentee Robotics with deep expertise in the perception and language understanding systems critical for humanoid robot intelligence.[1][6]

Professor Shai Shalev-Shwartz, the company's chief scientist, is a professor at the Hebrew University of Jerusalem and serves as CTO of Mobileye, where he leads development of the [Responsibility-Sensitive Safety](/wiki/responsibility_sensitive_safety) (RSS) framework and Road Experience Management technologies. A world-renowned machine learning researcher, he co-authored a widely cited textbook on the field. His dual role at Mobileye and Mentee Robotics helped facilitate direct technology transfer between autonomous driving and humanoid robotics.[4][7]

The founding of Mentee Robotics came at a moment of surging interest in humanoid robotics. [Tesla](/wiki/tesla) had announced its Optimus humanoid robot program in 2021 and demonstrated an early prototype in 2022, sparking renewed attention from investors and the media. Mentee Robotics attracted brief press coverage at the tail end of 2022 in connection with this broader trend, but the company had little to show publicly at that early stage and quickly entered a period of quiet development.[3]

### Stealth development (2022 to 2024)

For approximately 18 months following its founding, Mentee Robotics operated in a near-stealth mode. During this period, the company assembled a team that grew to roughly 70 employees at its Herzliya offices and developed its humanoid robot platform from scratch. Rather than relying on off-the-shelf components, the team designed proprietary actuators, motor drivers, and robotic hands in-house, reflecting a vertically integrated approach that would become a defining characteristic of the MenteeBot platform.[1][3][8]

The company raised initial funding from Ahren Innovation Capital (lead investor) and additional investors. The total amount raised before the Mobileye acquisition was reported as $17 million by Tracxn, while other sources, including Calcalist, cited figures as high as $38 million to $41 million, suggesting additional undisclosed funding rounds.[9][10][11]

Shashua later described the technological convergence that motivated the venture: "We are on the cusp of a convergence of computer vision, natural language understanding, strong and detailed simulators, and methodologies on and for transferring from simulation to the real world." This convergence, he argued, made the development of truly capable humanoid robots feasible for the first time.[1]

## Original MenteeBot unveiling (April 2024)

### Public announcement

Mentee Robotics emerged from stealth on April 17, 2024, with the public unveiling of its first-generation MenteeBot prototype. The announcement was distributed via BusinessWire under the headline "Mentee Robotics Unveils MenteeBot: A Humanoid Robot That Integrates AI Across All Operational Layers." The company did not hold a traditional press conference or provide hands-on demonstrations to journalists; instead, it released a series of short demonstration videos alongside the press release.[1][12]

The unveiling positioned the MenteeBot as a fundamentally different kind of humanoid robot. While many competitors had started with mechanical engineering and added AI capabilities later, Mentee Robotics described its approach as "AI-first," meaning that artificial intelligence was integrated across every operational layer from the very beginning of the design process, from high-level task planning down to low-level motor control.[1][3]

### Demonstration videos

The flagship demonstration video showed the MenteeBot performing a multi-step task in a single continuous, unedited take. In the video, the robot received a verbal command ("put the fruit in the box and place it on the shelf"), navigated to a table, identified and picked up two persimmons, placed them in a box, and carried the box to a nearby shelf. The entire sequence was completed in approximately 90 seconds without human intervention.[1][12][13]

This unedited format was notable in the humanoid robotics industry, where demonstration videos are frequently cut and edited to hide failures or delays. Calcalist's competitive analysis at the time observed that "MenteeBot's demonstration emphasizes a variety of different actions in one continuous and unedited video, in response to a voice command and in a completely autonomous manner," distinguishing it from the edited clips released by competitors such as [Figure AI](/wiki/figure_ai) and Tesla.[13]

Additional demonstration clips showed the MenteeBot walking forward and backward, carrying objects (including a six-pack of beverages), performing dynamic balancing while loaded, and engaging in basic verbal interactions. The videos illustrated the robot's ability to chain together locomotion, navigation, perception, object manipulation, and language understanding into coherent end-to-end behaviors.[1][12]

## Technical specifications

The original MenteeBot prototype exhibited the following specifications, as disclosed at the April 2024 unveiling and through subsequent company communications.

| Category | Specification | Value |
|---|---|---|
| Physical | Height | 175 cm (5 ft 9 in) |
| Physical | Weight | 70 kg (154 lb) |
| Mobility | Degrees of freedom | 40 |
| Mobility | Maximum walking speed | 1.5 m/s (5.4 km/h; 3.4 mph) |
| Manipulation | Payload capacity | 25 kg (55 lb) |
| Power | Battery life | Up to 5 hours (prototype), 3 hours (later reported) |
| Sensing | Primary sensing | Camera-only (no [LiDAR](/wiki/lidar)) |
| Computing | Compute platform | Dual [NVIDIA Jetson](/wiki/nvidia_jetson_thor) AGX Orin |
| Computing | LLM integration | Yes ([transformer](/wiki/transformer)-based) |
| Software | 3D mapping | NeRF-based real-time cognitive maps |
| Software | Locomotion training | Sim2Real reinforcement learning |
| Hardware | Actuators | Custom proprietary design |
| Hardware | Hands | Gripper-style (clamp design) |

Battery life estimates varied across sources. Early reports from Interesting Engineering and other outlets cited a 5-hour continuous runtime, while later company materials and the V3 specification sheet indicated approximately 3 hours per charge, suggesting that the 5-hour figure may have been an aspirational target rather than a tested result.[14][15]

### Planned variants

At the time of unveiling, Mentee Robotics described two planned variants of the MenteeBot: a residential model designed for household tasks such as table setting, laundry management, and cleaning; and a commercial model optimized for manual labor in warehouses and industrial settings, including item retrieval, transportation, and organization. Both variants would share the same core platform, with modular actuators and camera-only sensing tailored to each environment. In practice, the company's focus shifted increasingly toward industrial and logistics applications as the platform matured toward the V3 generation.[1][14]

## AI architecture

The MenteeBot's AI system operated across three interconnected layers, each responsible for a different aspect of the robot's behavior. This architecture drew heavily on the founders' experience at Mobileye, where a similar layered approach was used for autonomous vehicle perception and decision-making.

### Large language model layer

At the highest level, the MenteeBot used [transformer](/wiki/transformer)-based large language models to interpret natural language commands, engage in conversation, and decompose complex instructions into sequences of executable subtasks. When a human operator gave a verbal command (for example, "pick up the boxes and move them to the shelf"), the [LLM](/wiki/large_language_model) broke this down into discrete steps: navigate to the boxes, identify the correct objects, grasp them, transport them, and place them at the designated location. This capability enabled workers without technical training to direct the robot using ordinary spoken language.[1][16]

The LLM integration also supported the concept of a "mentorable" robot, one that could learn new tasks through verbal instructions and visual demonstrations provided by human operators, similar to onboarding a new employee. The company described this as working toward "few-shot generalization," where the robot could acquire new skills from only a small number of human demonstrations rather than requiring extensive programming.[1][17]

### NeRF-based 3D mapping layer

The robot built a detailed three-dimensional map of its environment in real time using [neural radiance field](/wiki/nerf) algorithms. Originally developed in the computer vision research community for representing 3D scenes from 2D images, NeRF models were adapted in the MenteeBot to create cognitive maps that stored both geometric and semantic information. The robot could identify the locations of specific objects, understand spatial relationships between items and surfaces, and dynamically plan paths that avoided obstacles. The maps updated continuously as the robot moved, allowing it to handle environmental changes such as moved inventory, new obstacles, or rearranged furniture.[1][16]

This cognitive mapping system enabled the robot to query its internal representation of the world. For instance, when asked to "find the Coke cans," the robot's NeRF-based system could localize matching objects in its 3D map and plan a route to reach them, without requiring predefined waypoints or hard-coded location data.[1]

### Sim2Real locomotion and manipulation layer

Locomotion and manipulation skills were trained using a simulator-to-reality (Sim2Real) approach. The robot first learned behaviors in a simulated environment, where [reinforcement learning](/wiki/reinforcement_learning) could draw on effectively unlimited synthetic training data. Domain randomization techniques (randomizing object positions, textures, lighting conditions, and physical properties) ensured that policies learned in simulation were robust enough to transfer to the real world with minimal fine-tuning. This dramatically reduced the need for expensive and time-consuming real-world data collection.[1][16]

The Sim2Real approach was central to the company's strategy for scaling robot capabilities efficiently. Rather than requiring extensive teleoperation sessions for every new skill, engineers could train policies in simulation and deploy them on the physical robot with relatively little adaptation, a process the company described as requiring "very little data" for real-world transfer.[1]

### Camera-only sensing philosophy

A notable design choice was the MenteeBot's reliance on camera-only sensing, without LiDAR or other active depth sensors. This vision-centric approach directly mirrored the philosophy that Mobileye had pioneered in autonomous driving, where camera-based perception proved sufficient for understanding complex road environments at a fraction of the cost of LiDAR-equipped systems. Applied to humanoid robotics, this approach kept the sensor suite simpler and more cost-effective while leveraging the advances in [computer vision](/wiki/computer_vision) and neural network-based depth estimation that the founders had helped develop over their careers.[1][13][18]

## NVIDIA technology partnership

Mentee Robotics built its development and training pipeline around [NVIDIA](/wiki/nvidia)'s robotics ecosystem, establishing one of the deeper integrations among humanoid robot developers. The partnership followed NVIDIA's three-computer architecture for robotics.

| Component | NVIDIA technology | Role |
|---|---|---|
| Training | [NVIDIA DGX](/wiki/nvidia_dgx) platform | Model training and refinement for perception, movement, and manipulation |
| Simulation | [NVIDIA Isaac Sim](/wiki/nvidia_isaac_sim) | Synthetic data generation, physics-accurate simulation, and model validation |
| Simulation | NVIDIA Isaac Lab | Reinforcement and [imitation learning](/wiki/imitation_learning) for motion control and dexterity |
| Simulation | NVIDIA GR00T-Mimic | Scaling expert teleoperation demonstrations with domain randomization |
| Simulation | NVIDIA [Cosmos](/wiki/nvidia_cosmos) | Augmenting synthetic training data with generative AI capabilities |
| Edge deployment | Dual NVIDIA Jetson AGX Orin | Onboard AI inference, real-time control, and autonomous operation |
| Future upgrade | NVIDIA Jetson Thor | Planned next-generation onboard compute for greater scalability |
| Validation | NVIDIA RTX 6000 Ada GPUs | Private cloud infrastructure for model validation before physical deployment |

The training pipeline worked as follows: expert demonstrations were collected via teleoperation using motion planners, then scaled in simulation using NVIDIA GR00T-Mimic with domain randomization (randomized object positions, backgrounds, textures, and more). Reinforcement learning policies for motion control were trained in NVIDIA Isaac Lab. The resulting models were validated in Isaac Sim before being deployed to the dual Jetson AGX Orin processors on the physical robot for real-time autonomous operation.[19]

Professor Lior Wolf, Mentee Robotics' CEO, stated: "NVIDIA's hardware and AI stack provided the compute efficiency, scalability, and real-time AI processing" necessary for the company's approach to robot learning and humanoid autonomy.[19]

## Subsequent demonstrations (2024)

### Shopping assistant demonstration (August 2024)

In August 2024, Mentee Robotics released a demonstration video showing the MenteeBot functioning as a shopping assistant. In the video, the robot accompanied a wheelchair user through a retail environment, pushing a shopping cart and adjusting its position each time the shopper stopped to add items. The demonstration highlighted the robot's ability to follow a human companion at a controlled pace, avoid collisions in a dynamic setting, and respond to implicit behavioral cues (such as stopping when the user stops) rather than requiring explicit verbal commands for every action.[20]

This video broadened the perceived application space beyond the household and warehouse scenarios shown in April, suggesting potential service and assistive robotics roles for the platform.

### Warehouse autonomy demonstration (Late 2024/2025)

Later demonstration videos featured two MenteeBot V3 units working together in a warehouse environment, autonomously transferring 32 boxes from eight piles of varying heights into four flow racks. The 18-minute continuous, unedited demonstration showcased coordinated multi-robot operation, stable movement with loaded payloads, precise object handling across different rack heights, and fleet coordination (two robots operating in close proximity without collisions). This demonstration, released in November 2025, used the upgraded V3 platform but built on the same AI architecture originally developed for the first-generation MenteeBot.[21][22]

## CES 2025 appearance

In January 2025, a design closely resembling the forthcoming MenteeBot V3.0 appeared on stage during [NVIDIA](/wiki/nvidia) founder [Jensen Huang](/wiki/jensen_huang)'s keynote address at [CES](/wiki/consumer_electronics_show) 2025 in Las Vegas. Huang assembled 14 humanoid robots on stage alongside his declaration that "the [ChatGPT](/wiki/chatgpt) moment for general robotics is just around the corner." The lineup included robots from [Boston Dynamics](/wiki/boston_dynamics), [Agility Robotics](/wiki/agility_robotics), [Figure AI](/wiki/figure_ai), [Apptronik](/wiki/apptronik), [Unitree Robotics](/wiki/unitree), [1X Technologies](/wiki/1x_technologies), [Sanctuary AI](/wiki/sanctuary_ai), [XPeng Robotics](/wiki/xpeng_robotics), [Fourier Intelligence](/wiki/fourier_intelligence), and others. MenteeBot was the sole representative from Israel in the lineup.[23][24]

The CES appearance served as an important validation of Mentee Robotics' standing within the global humanoid robotics ecosystem and underscored its close technical relationship with NVIDIA. It also provided the first public glimpse of the V3 design before its official unveiling the following month.

## Evolution to MenteeBot V3

The original MenteeBot was succeeded by the [MenteeBot V3](/wiki/mentee_robotics_menteebot_v3), officially unveiled on February 11, 2025. While the company designated this as the "third version," suggesting at least one intermediate iteration (sometimes referred to informally as V2), detailed public information about the V2 stage is limited. The Ynet News report on the V3 unveiling referred to it as an improvement over "the previous version from last April" (i.e., the April 2024 prototype), and Interesting Engineering described the V3 as featuring "a series of significant improvements compared to previous generations," but neither publication provided detailed specifications for a distinct V2 model.[15][25]

The progression from the original MenteeBot to V3 brought several notable improvements.

| Feature | Original MenteeBot (2024) | [MenteeBot V3](/wiki/mentee_robotics_menteebot_v3) (2025) |
|---|---|---|
| Vision system | Forward-facing cameras | 360-degree (fisheye side + rear + head-mounted sensors) |
| Battery system | Fixed battery, 3 to 5 hours | Hot-swappable, 3 to 4+ hours per module, 24/7 via cycling |
| Hand design | Gripper-style clamps | Redesigned with 30 N finger pinch force, impact-resistant |
| Tactile sensing | Not disclosed | Motor-based tactile sensing in hands |
| Appearance | Functional prototype aesthetic | More humanoid, refined industrial design |
| Market focus | Residential and commercial variants | Primarily industrial and logistics |
| Actuators | Custom proprietary | Custom proprietary (3x power density, further refined) |
| Height | 175 cm | 175 cm |
| Weight | 70 kg | 70 kg |
| Degrees of freedom | 40 | 40 |
| Payload | 25 kg | 25 kg |
| Walking speed | 1.5 m/s | 1.5 m/s |

The V3 maintained the same fundamental physical dimensions and performance envelope as the original, but introduced substantial upgrades to the sensor suite, battery architecture, and manipulation hardware. The shift from a dual residential/commercial positioning to a primarily industrial focus reflected a strategic recalibration as the company moved closer to real-world deployment scenarios.[2][15][25]

A further incremental update, the MenteeBot V3.1, was announced in 2025 with refinements to the tactile sensing, reinforcement learning workflows for specific industrial tasks, and further improvements to the Sim2Real transfer pipeline.[26]

## Mobileye acquisition

On January 6, 2026, during [CES](/wiki/consumer_electronics_show) 2026 in Las Vegas, [Mobileye](/wiki/mobileye) announced a definitive agreement to acquire Mentee Robotics for approximately $900 million. The transaction comprised roughly $612 million in cash and up to 26.2 million shares of Mobileye Class A common stock, subject to adjustment based on vesting of Mentee stock options prior to closing. The deal was approved by Mobileye's board of directors and Intel (Mobileye's majority shareholder), with closing expected in the first quarter of 2026.[5][27]

Amnon Shashua, who held a 37.8% stake in Mentee Robotics, described the acquisition as "the beginning of Mobileye 3.0," combining Mentee's humanoid robotics breakthroughs with Mobileye's two decades of automotive autonomy expertise. Mentee CEO Lior Wolf highlighted the platform's four-year development achieving "cost-efficient humanoid" solutions. Mentee Robotics was to continue as an independent unit within Mobileye following the acquisition.[5][27][28]

### Strategic rationale

Mobileye identified three primary technology synergies driving the acquisition:

1. **Enhanced autonomy**: Mentee's vision-language-action models and advanced simulation techniques would strengthen Mobileye's autonomous driving systems while benefiting from Mobileye's decades of perception expertise flowing back to the robot platform.
2. **Safety integration**: Mobileye's [Responsibility-Sensitive Safety](/wiki/responsibility_sensitive_safety) (RSS) framework, a mathematically grounded formal model for safe autonomous behavior originally published by Shashua and Shalev-Shwartz in 2017, would be adapted to define, verify, and enforce safe behavior for humanoid robots operating near humans in factories and warehouses.
3. **Accelerated commercialization**: Mobileye's deep relationships with high-volume precision manufacturers and its experience scaling advanced AI technologies from prototype to mass production would speed Mentee's path to market.[5][27]

### Governance considerations

The acquisition attracted scrutiny due to Shashua's role on both sides of the transaction. As both the CEO of Mobileye (the acquirer) and the chairman and largest shareholder of Mentee Robotics (the target), the deal raised conflict-of-interest questions. Mobileye's board established a strategy committee and engaged McKinsey as external advisers, with Shashua formally recused from the board's consideration and approval process. Analysts at Calcalist noted that Mentee had generated no revenue at the time of acquisition and that the $900 million valuation represented a significant premium over the approximately $38 million in total funding the company had raised.[29]

### Commercialization timeline

Following the acquisition, Mobileye outlined a phased go-to-market plan: first autonomous proof-of-concept deployments with customers were expected in 2026, with series production and initial commercial sales targeted for 2028. These deployments would focus on industrial applications such as logistics centers and manufacturing lines, with autonomous on-site operation rather than teleoperation.[5][27]

## Mobileye technology transfer

The relationship between Mentee Robotics and Mobileye extended beyond shared founders, representing a deliberate transfer of autonomous driving technology to humanoid robotics.

### Vision-centric perception

Mobileye, founded in 1999, pioneered the use of camera-based computer vision for ADAS and fully autonomous driving. The company's technology relies on interpreting visual data from cameras rather than expensive LiDAR arrays to perceive the driving environment, make decisions, and control vehicle behavior. This camera-first, vision-centric philosophy directly influenced the MenteeBot's design, which similarly relied exclusively on cameras for perception. The approach kept hardware costs lower and leveraged the advances in neural network-based depth estimation and scene understanding that the Mobileye team had spent decades developing.[5][18]

### Responsibility-Sensitive Safety for robotics

Mobileye's RSS framework provides a formal mathematical model that defines safe behavior for autonomous systems operating in dynamic environments alongside humans. Originally developed for self-driving cars, RSS encodes five core safety rules covering safe following distances, lateral spacing, right-of-way priority, visibility handling, and crash avoidance obligations. Adapting RSS for humanoid robotics would provide a rigorous, mathematically verifiable safety foundation for robots working in close proximity to human workers in factories and warehouses, building the regulatory readiness and trust required for large-scale commercial deployment.[5][7][27]

### Sim2Real expertise

Both Mobileye and Mentee Robotics relied heavily on simulation for training and validation. Mobileye uses simulation extensively to test autonomous driving software across billions of miles of virtual driving scenarios. Mentee Robotics applied the same principle to humanoid robotics, training locomotion and manipulation policies in NVIDIA Isaac Sim before deploying them on physical hardware. The shared expertise in bridging the gap between simulated and real-world performance was a key technical synergy identified in the acquisition rationale.[5][19]

## Competition and market context

The original MenteeBot entered a rapidly growing and intensely competitive humanoid robotics landscape during 2024. Several competitors had their own unveilings and demonstrations during the same period.

| Company | Robot | Notable features at the time of MenteeBot's unveiling |
|---|---|---|
| [Tesla](/wiki/tesla) | [Optimus Gen 2](/wiki/tesla_optimus) | Multi-jointed fingers, second-generation prototype, Autopilot AI |
| [Figure AI](/wiki/figure_ai) | [Figure 01](/wiki/figure_01) / [Figure 02](/wiki/figure_02) | [OpenAI](/wiki/openai) partnership for reasoning, 16 DOF hands |
| [Boston Dynamics](/wiki/boston_dynamics) | [Atlas (electric)](/wiki/atlas_robot) | Fully electric redesign of iconic platform |
| [Agility Robotics](/wiki/agility_robotics) | [Digit](/wiki/agility_robotics_digit) | Already deployed in Amazon warehouses |
| [Apptronik](/wiki/apptronik) | [Apollo](/wiki/apptronik_apollo) | Mercedes-Benz partnership, modular design |
| [Unitree Robotics](/wiki/unitree) | [H1](/wiki/unitree_h1) | Aggressive pricing, open ecosystem |
| [Sanctuary AI](/wiki/sanctuary_ai) | [Phoenix](/wiki/sanctuary_ai_phoenix) | Carbon AI control system, dexterous hands |
| [1X Technologies](/wiki/1x_technologies) | [NEO](/wiki/1x_technologies_neo) | Consumer-focused, lightweight design |

Calcalist's comparison at the time noted that while competitors like Figure 01 and Tesla Optimus featured five-jointed fingers capable of fine manipulation, the original MenteeBot used simpler gripper-style clamps. However, MenteeBot distinguished itself through its continuous, unedited demonstration videos, its AI-first architecture, and its founders' unmatched track record in bringing autonomous perception technology to commercial scale through Mobileye.[13]

The broader humanoid robotics market was estimated to reach $38 billion by 2035, according to Goldman Sachs, with logistics, manufacturing, and hazardous environment applications expected to drive early adoption. Despite the intense activity, no company had achieved large-scale commercial sales of general-purpose humanoid robots as of the MenteeBot's unveiling, and the timeline for doing so remained uncertain.[13][29]

## Israel's AI and robotics ecosystem

Mentee Robotics is a product of Israel's broader technology ecosystem, which has earned the country its "Startup Nation" reputation. Israel is home to approximately 170 robotics companies spanning industrial technology, agricultural technology, health technology, and defense. The country's innovation culture fosters close collaboration between universities, research institutions, and startups, supported by a deep talent pool in AI, computer vision, and machine learning.[30]

The nation's autonomous driving sector is particularly strong, anchored by Mobileye and supported by companies like OrCam (co-founded by Shashua for assistive vision devices) and numerous defense-related autonomy firms. Israeli tech startups raised approximately $9.58 billion in 2024 (a 38% increase over 2023), with robotics representing a growing share of investment. The Mobileye-Mentee acquisition at $900 million was one of the largest Israeli startup acquisitions of early 2026.[10][30]

## Applications

The original MenteeBot was designed for both domestic and commercial applications, though the emphasis shifted increasingly toward industrial use cases as the platform matured.

### Household applications

At unveiling, the residential variant was described as capable of household chores including table setting, cleaning, dishwashing, laundry management, and learning new domestic tasks through verbal instructions and visual imitation. The April 2024 persimmon-sorting demonstration, while set in a controlled environment, illustrated the type of household task the robot was designed to perform.[1][14]

### Industrial and warehouse applications

The commercial variant targeted warehouse automation (locating, retrieving, and transporting items up to 25 kg), manufacturing support (assembly tasks, loading and unloading, material handling), logistics operations (sorting, organizing, and palletizing goods), and work in hazardous environments (settings with chemical exposure or extreme temperatures that pose risks to human workers). The August 2024 shopping assistant demo and the later multi-robot warehouse demonstrations further validated the platform's capabilities in service and logistics roles.[1][14][20]

## See also

- [MenteeBot V3](/wiki/mentee_robotics_menteebot_v3)
- [Mentee Robotics](/wiki/mentee_robotics)
- [Humanoid robots](/wiki/humanoid_robots)
- [Mobileye](/wiki/mobileye)
- [Amnon Shashua](/wiki/amnon_shashua)
- [NVIDIA Isaac Sim](/wiki/nvidia_isaac_sim)
- [Tesla Optimus](/wiki/tesla_optimus)
- [Figure 02](/wiki/figure_02)
- [Sim2Real](/wiki/sim2real)
- [Humanoid robot market](/wiki/humanoid_robot_market)

## References

1. [Mentee Robotics Unveils MenteeBot: A Humanoid Robot That Integrates AI Across All Operational Layers - BusinessWire (April 17, 2024)](https://www.businesswire.com/news/home/20240417586005/en/Mentee-Robotics-Unveils-MenteeBot-A-Humanoid-Robot-That-Integrates-AI-Across-All-Operational-Layers)
2. [Menteebot V3.0: Humanoid robot with human-like features, strong grip - Interesting Engineering (February 2025)](https://interestingengineering.com/innovation/israel-humanoid-robot-with-360-vision)
3. [A humanoid robot is on its way from Mobileye founder - TechCrunch (April 17, 2024)](https://techcrunch.com/2024/04/17/a-humanoid-robot-is-on-its-way-from-mobileye-founder/)
4. [Prof. Amnon Shashua - Mobileye official biography](https://www.mobileye.com/amnon-shashua/)
5. [Mobileye To Acquire Mentee Robotics to Accelerate Physical AI Leadership - Mobileye News (January 6, 2026)](https://www.mobileye.com/news/mobileye-to-acquire-mentee-robotics-to-accelerate-physical-ai-leadership/)
6. [Mentee Robotics Unveils MenteeBot - Ahren Innovation Capital (April 2024)](https://www.ahreninnovationcapital.com/mentee-robotics-unveils-menteebot-a-humanoid-robot-that-integrates-ai-across-all-operational-layers/)
7. [Prof. Shai Shalev-Shwartz, Chief Technology Officer - Mobileye](https://www.mobileye.com/about/management/shai-shalev-shwartz/)
8. [Mentee Robotics de-cloaks to launch new AI-driven humanoid robot - The Robot Report (April 2024)](https://www.therobotreport.com/mentee-robotics-de-cloaks-launches-ai-driven-humanoid-robot/)
9. [Mentee Robotics raised $17 million for their Humanoid Robot, MenteeBot - StartupHub.ai (April 2024)](https://www.startuphub.ai/mentee-robotics-raised-17-million-for-their-humanoid-robot-menteebot/)
10. [Mentee Robotics funding rounds and list of investors - Tracxn](https://tracxn.com/d/companies/mentee-robotics/__jhXGj43uRjXHKkMBqyhDPZtI9yKYesNuwd7bwKeZBQI/funding-and-investors)
11. [After raising more than $40M, Mentee demonstrates practical use case for humanoids - Calcalist Tech (2025)](https://www.calcalistech.com/ctechnews/article/skctzanwzg)
12. [Watch out, Boston Dynamics! Mentee Robotics unveils AI-first robot - VentureBeat (April 2024)](https://venturebeat.com/ai/watch-out-boston-dynamics-mentee-robotics-unveils-ai-first-robot)
13. [How does Amnon Shashua's MenteeBot stack up against the competition? - Calcalist Tech (2024)](https://www.calcalistech.com/ctechnews/article/ryo11vqtxc)
14. ['I have arrived': Israel unveils house chore humanoid robot - Interesting Engineering (April 2024)](https://interestingengineering.com/innovation/israel-unveils-menteebot-humanoid-robot)
15. [Robotics jumps ahead: Mentee unveils 3rd version of its robot - Ynet News (February 2025)](https://www.ynetnews.com/business/article/hywhtgsyyg)
16. [Mentee Robotics Unveils AI-Powered Humanoid Robot for Household and Warehouse Applications - Maginative (April 2024)](https://www.maginative.com/article/mentee-robotics-unveils-ai-powered-humanoid-robot-for-household-and-warehouse-applications/)
17. [MenteeBot AI Approach - Mentee Robotics Blog (September 2025)](https://www.menteebot.com/blog/)
18. [Amnon Shashua - Wikipedia](https://en.wikipedia.org/wiki/Amnon_Shashua)
19. [Mentee Robotics uses the NVIDIA Isaac Platform and NVIDIA Jetson - NVIDIA Case Study](https://www.nvidia.com/en-us/case-studies/mentee-robotics/)
20. [MenteeBot humanoid robot goes shopping - Startup Selfie (August 12, 2024)](https://www.startupselfie.net/2024/08/12/menteebot-humanoid-robot-shopping-companion/)
21. [Mentee Robotics Demonstrates Warehouse Autonomy with Dual-Robot Uncut Demo - Humanoids Daily (November 2025)](https://www.humanoidsdaily.com/news/mentee-robotics-demonstrates-warehouse-autonomy-with-dual-robot-uncut-demo)
22. [VIDEO: Mentee Robotics shows MenteeBot humanoids working together to perform warehouse tasks - Robotics 24/7 (2025)](https://www.robotics247.com/article/video_mentee_robotics_shows_menteebot_humanoids_working_together_to_perform_warehouse_tasks)
23. [CES 2025: AI Advancing at Incredible Pace, NVIDIA CEO Says - NVIDIA Blog (January 2025)](https://blogs.nvidia.com/blog/ces-2025-jensen-huang/)
24. [CES 2025: Nvidia highlights robot partnerships - Digitimes (January 2025)](https://www.digitimes.com/news/a20250110PD216/ces-2025-nvidia-jensen-huang-humanoid-robot.html)
25. [HMND-01, MenteeBot V3.0, ENGINEAI S2 Original IP Service Robot - Mike Kalil (2025)](https://mikekalil.com/blog/hmnd01-menteev3-engineais2/)
26. [Mentee Bot V3.1 brings human-like touch to 24/7 factory floors - Interesting Engineering (2025)](https://interestingengineering.com/ai-robotics/israeli-firm-reveals-update-to-next-gen-logistics-robot-that-learns-from-humans)
27. [Mobileye acquires humanoid robot startup Mentee Robotics for $900M - TechCrunch (January 6, 2026)](https://techcrunch.com/2026/01/06/mobileye-acquires-humanoid-robot-startup-mentee-robotics-for-900m/)
28. [Mobileye acquires Shashua's robotics startup for $900 million - Calcalist Tech (January 2026)](https://www.calcalistech.com/ctechnews/article/hjgfeesnzx)
29. [The question marks behind Mobileye's $900 million bet on Mentee - Calcalist Tech (January 2026)](https://www.calcalistech.com/ctechnews/article/rjed1la411e)
30. [2024 Israeli Robotics Tech Companies - Startup Nation Central](https://startupnationcentral.org/hub/blog/2024-israeli-robotics-tech-companies/)