Mobileye Snaps Up Mentee Robotics for $900M Humanoid Leap
Published
February 3, 2026
Reading Time
3 min read
Author
Origin Of Bots Editorial Team

Acquisition Shakes Robotics
Mobileye, the Intel-backed vision pioneer, has acquired Mentee Robotics in a blockbuster $900 million deal, thrusting the Israeli firm's Menteebot V3.0 Production Prototype into the global spotlight. Announced amid surging demand for humanoid workers, this move positions Mobileye to fuse its autonomous driving expertise with Menteebot's bipedal dexterity, accelerating deployment in factories and warehouses. Industry watchers see it as a strategic pivot, blending sensor mastery with AI-driven manipulation to outpace rivals in human-robot teamwork. The acquisition, fresh off Mentee's warehouse demos, signals humanoid tech's leap from labs to production lines.
AI Powers Interaction
Menteebot V3.0 stands out through its intuitive skill mentoring, where humans demonstrate tasks once, and the robot refines them via high-fidelity simulations before real-world execution. Dual NVIDIA Jetson Orin AGX units and an onboard large language model break down verbal commands into precise actions, enabling seamless collaboration without constant oversight. This fosters natural interactions, like coordinating with teams on dynamic floors, transforming rigid automation into adaptive partnerships that boost productivity in unpredictable settings.

Sensing Redefines Balance
Engineering feats shine in Menteebot's 360-degree perception, powered by fisheye cameras, depth sensors, and LiDAR for real-time 3D mapping via neural radiance fields. Custom actuators deliver triple the power of standard units, paired with reinforcement learning for adaptive grips and footfalls, ensuring stability under 25 kg loads. Hot-swappable batteries sustain shifts, while Sim2Real training bridges virtual rehearsals to physical prowess, making the robot resilient in cluttered human spaces.
Warehouses Gain Allies
In manufacturing and logistics, Menteebot V3.0 tackles box shuffling across racks, infrastructure checks, and remote handling, as shown in unedited demos moving 32 units autonomously. Its bipedal mobility navigates tight aisles where wheels falter, supporting tools for inspections or sensor arrays for data collection. For research labs, it prototypes human-like responses; in remote ops, it extends worker reach, promising safer, faster workflows that cut downtime and amplify human efforts.

Skills Enable Dexterity
At 175 cm tall, 55 cm wide, and 38 cm deep, weighing 70 kg, Menteebot's frame equips it for human-scale interactions, with stable walking at 1.5 m/s (up to 2.0 m/s running) enabling fluid team pacing. RGB cameras, depth sensing, LiDAR, IMU, force/torque detectors, gyroscope, accelerometer, and joint encoders grant nuanced environmental grasp, powering dexterous picks with 30 N finger pinch for delicate exchanges or heavy lifts. Linux-based OS with ROS 2 and Python SDK streamlines skill programming, while 5-year industrial batteries fuel extended collaboration sessions; Visual SLAM and balance aids ensure reliable navigation, force limiting and collision stops prioritize safe human proximity.
Rivals Faceoff Table
| Robot | Strengths over Menteebot V3.0 | Menteebot V3.0 Advantages | Weaknesses vs. Menteebot V3.0 |
|---|---|---|---|
| Walker S1 | Higher DoF for finer poses | Superior 360° vision, LLM task breakdown | Less payload (20 kg max), shorter runtime |
| Kaleido 8.0 | Faster max sprint (2.5 m/s) | Stronger actuators (3x power), hot-swap batteries | Bulkier frame hinders tight spaces |
| KUAVO-MY | Lighter weight (50 kg) | Better grip (30 N/finger), Sim2Real learning | Slower walk (1.2 m/s), no rear camera |
| Green | Cheaper components | Full ROS 2 integration, 25 kg lift capacity | Inferior 3D mapping, basic AI control |
Sources
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