6 accepted papers
Developing general robotic systems capable of manipulating in unstructured environments is a significant challenge, particularly as the tasks involved are typically long-horizon and rich-contact, requiring efficient skill transfer across different task scenarios. To address these challenges, we prop
Imitation learning attracts much attention for its ability to allow robots to quickly learn human manipulation skills through demonstrations. However, in the real world, human demonstrations often exhibit random behavior that is not intended by humans. Collecting high-quality human datasets is both
Robot position is a crucial information flow for space teleoperation, and the existence of time delay makes it actual asynchronous in sending and reception, greatly affecting the telepresence. To address this issue, this letter investigates the position prediction for space teleoperation and propose
Robotic manipulation holds the potential to replace humans in the execution of tedious or dangerous tasks. However, control-based approaches are not suitable due to the difficulty of formally describing open-world manipulation in reality, and the inefficiency of existing learning methods. Therefore,…
Peg-hole-insertion processes of diverse shapes are typical contact-rich tasks, which need the accurate representation of object's shape, pose, and peg-hole contact states. The visual-tactile sensor can perceive the relative moving trend between the gripper and the grasped object, which could be appl
Facing the new challenges of the spacecraft developing, the concept of cellular space robot (CSR) for both space-craft system construction and on-orbit operation is presented in this paper. The system description and design principles are introduced to ensure the flexibility of the system. And dynam…