Automated Action Evaluation for Robotic Imitation Learning via Siamese Neural Networks
Xiang Chang,Fei Chao,Changjing Shang,Qiang Shen,Xiang Chang,Fei Chao,Changjing Shang,Qiang Shen
Despite recent advances in video-guided robotic imitation learning, many methods still rely on human experts to provide sparse rewards that indicate whether robots have successfully completed tasks. The challenge of enabling robots to autonomously evaluate whether their actions can complete complex, multi-stage tasks remains unresolved. In this work, we propose an efficient few-shot robotic learni...
