16 December 2020
Vol 5, Issue 49

About The Cover

Cover image expansion

ONLINE COVER You Can Teach a Robot Dog New Tricks. Learning to adapt in unknown situations is key for robots to operate effectively in the wild. Inspired by the biomechanical control of muscular systems, Yang et al. developed a framework based on machine learning called multi-expert learning architecture to teach multiskill locomotion to a quadruped robot. Their controller consists of eight deep neural networks that represent expert skills that are then combined using a gated neural network to achieve complex locomotion such as coherent trotting, steering, and fall recovery. This month's cover is a photograph of Jueying, a quadruped robot, demonstrating agile motion. [IMAGE CREDIT: KAI YUAN AND CHRISTOPHER MCGREAVY]