Robot Skill

Robot skill research focuses on enabling robots to learn, execute, and adapt complex tasks, aiming for greater autonomy and robustness in diverse environments. Current efforts concentrate on learning from demonstrations (including human videos), leveraging large language models for task planning and reward function design, and employing various architectures like transformers and neural networks to improve skill generalization and efficiency. This field is crucial for advancing robotics, impacting manufacturing automation, surgical assistance, and human-robot collaboration by enabling robots to handle increasingly complex and unpredictable situations.