humanoid

Perceptive Humanoid Locomotion and Autonomous Navigation
Our research focuses on developing advanced algorithms and technologies to enable humanoid robots to perceive their environment, navigate autonomously, and achieve human-like locomotion.
Perceptive Humanoid Locomotion and Autonomous Navigation
Safety Testing of Legged Robots
As legged robots become increasingly prevalent in various applications, it is crucial to develop robust safety testing methodologies to identify potential risks and ensure safe operation.
Safety Testing of Legged Robots
Hierarchical Reinforcement Learning (HRL) for Safe Dynamic Legged Locomotion
Our research project aims to advance the capabilities of legged robots via novel Hierarchical Reinforcement Learning (HRL) algorithms, enabling them to achieve efficient and adaptive locomotion in complex environments.
Hierarchical Reinforcement Learning (HRL) for Safe Dynamic Legged Locomotion