Multi-expert learning of adaptive legged locomotion

Scientists from the University of Edinburgh (UK) teach a robot puppy to learn how to walk and invented a hierarchical motor control. It is called Multi-Expert Learning Architecture - MELA - which fuses multiple expert neural networks into a synthesized expert and learns versatile motor skills. MELA can generate adaptive motor behaviors across different locomotion modes and survive in unknown situations, which is essential for truly autonomous robots to operate effectively in the wild. Follow research from Advanced Intelligent Robotics Lab: Paper links: - Science Robotics: - Permitted author’s version: Citation: C. Yang, K. Yuan, Q. Zhu, W. Yu, Z. Li, Multi-expert learning of adaptive legged locomotion. Sci Robot. 5, eabb2174 (2020). DOI: