A learning-based control framework for quadruped robots, adaptable to different morphologies and challenging terrains. It trains a control policy and an adaptive module that identifies robot properties and estimates body velocity. Real-world and simulation tests show MorAL enables diverse robots to navigate tough terrains effectively.
