Robots Learn New Skills to Tackle Real-World Tasks with WildLMa Framework

Researchers from UC San Diego developed the WildLMa framework to boost the abilities of quadruped robots. Designed with imitation learning and AI, the system enables robots to complete multi-step tasks like picking up items and cleaning spaces. The framework incorporates Vision-Language Models and Large Language Models for enhanced adaptability in dynamic environments