Yuhang Li

Action chunking transformer-based imitation learning with dynamic programming optimization for low-cost robotic assembly tasks

Nowadays, many studies focus on using AI tools to improve the performance of manipulators in fields such as assembly. One popular approach is the Action Chunking Transformer (ACT), which enables robots to execute assembly tasks more efficiently. However, this method still faces c...