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
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