AI & Enterprise
KAIST develops quadruped robot technology that changes walking strategy on its own
KAIST said a mechanical engineering team has developed core control technology that allows a quadruped robot to choose and switch in real time among walking, running and jumping. The team used simulation to generate 15.5 hours of training data in 8 minutes and applied reinforcement learning so the robot could select gaits on complex terrain. Tests on the KAIST Hound included indoor courses, campus areas and forest paths, with a peak speed of 6 metres per second on rough ground.
