This PhD scholarship offers an exciting opportunity to study cheetah locomotion using inverse reinforcement learning (IRL) methods. The research focuses on understanding how cheetahs achieve their incredible speed and agility, with applications in agile robotics. The project involves analyzing kinematic and kinetic data to extract reward functions that explain rapid maneuvers, which will be implemented on the Unitree Go2 quadruped robot. The goal is to enhance the robot's agility and develop technologies for more advanced, bio-inspired robotic systems. Candidates should have a strong background in engineering or related fields and an interest in machine learning. The application deadline is January 24, 2025.
