Leveraging the efficiency of multi-task robot manipulation via task-evoked planner and reinforcement learning
Haofu Qian,Haoyang Zhang,Jun Shao,Jiatao Zhang,Jason Gu,Wei Song,Shiqiang Zhu,Haofu Qian,Haoyang Zhang,Jun Shao,Jiatao Zhang,Jason Gu,Wei Song,Shiqiang Zhu
Multi-task learning has expanded the boundaries of robotic manipulation, enabling the execution of increasingly complex tasks. However, policies learned through reinforcement learning exhibit limited generalization and narrow distributions, which restrict their effectiveness in multi-task training. Addressing the challenge of obtaining policies with generalization and stability represents a non-tr...
