Stanford researchers have become the first to demonstrate that machine-learning control can safely guide a robot aboard the ...
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AI takes control in space for the first time, helps ISS robot move 60% faster
Stanford researchers have successfully demonstrated a machine-learning-based control system aboard the International Space ...
AI robot on the ISS navigates 50–60% faster using machine learning, marking a major step toward autonomous space missions.
Reactive planning and control capacity for collaborative robots is essential when the tasks change online in an unstructured environment. This is more difficult for collaborative mobile manipulators ...
We have considerable expertise in MPC as a powerful tool for providing optimal control in dynamic environments, ensuring real-time performance and adaptability. Our work includes developing predictive ...
The Robot Learning & Control laboratory in the Division of Engineering, New York University Abu Dhabi, seeks to recruit a postdoctoral associate with a strong expertise in learning-based control for ...
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