Today, the Menteebot prototype was unveiled, showcasing a revolutionary approach to artificial intelligence. The robot’s AI capabilities are integrated at all levels of its operation, and it uses machine learning from simulation to reality (Sim2Real) to adapt to the real world with minimal data requirements.
The innovative approach utilizes NeRF algorithms for real-time environment mapping, creating cognitive maps for the robot to navigate and avoid obstacles. Large transformation-based language models interpret commands and coordinate the robot’s movements for complex tasks. The prototype demonstrates end-to-end action, from verbal commands to completing tasks like navigation, understanding the environment, identifying objects, and grasping.
Menteebot is expected to go into serial production in 2025, equipped with camera-based sensing, electric motors for agility, and fully integrated artificial intelligence for complex thought processes. The company’s founder, Prof. Amnon Shashua, envisions a convergence of technologies in AI, computer vision, natural language understanding, and simulation-to-real-world methodologies. With these capabilities, Menteebot will be able to perform household tasks and learn new ones through imitation while moving freely in human environments. This marks a significant step towards designing walking human robots for various purposes.
