The Menteebot prototype has been unveiled, showcasing the integration of artificial intelligence at all levels of its operation. This unique robot utilizes a technique known as Sim2Real, where machine learning takes place in a simulated environment before being adapted to the real world with minimal data requirements.
The robot can map its environment in real-time using algorithms based on NeRF technology, creating cognitive maps that enable efficient navigation and obstacle avoidance. Additionally, the robot employs large transformation-based language models to interpret commands and coordinate complex tasks that require a combination of leg movement and manual work.
The end-to-end action demonstrated by the robot includes responding to verbal commands, navigating the environment, identifying objects, and completing tasks using natural language understanding. The final version of the robot is expected to enter production in 2025, operated solely by camera-based sensing and electric motors developed by the company. These technologies allow the robot to perform tasks, engage in conversations, and continuously learn new skills.
Professor Amnon Shashua, founder and chairman of the company, highlights how this advancement in artificial intelligence technology paves the way for human-like robots that can perform household tasks and learn new skills through imitation. The convergence of various technologies in AI has led to the development of robots capable of navigating human environments and performing a wide range of tasks. This innovation has the potential to revolutionize how robots interact with humans in different settings.
In summary, this new prototype combines machine learning with natural language understanding to create a versatile robot capable of performing complex tasks. With further development and improvements in AI technology, we can expect to see more advanced human-like robots entering our daily lives soon.