3 papers
cs.RO2026
Empowering Robot Teleoperation: Exploring the Synergies Between Devices and Manipulator Controllers in a Comparative Study
Yuxuan Zhao, Yuanchen Tang, Jindi Zhang +1
Robot learning empowers the robot system with human brain-like intelligence to autonomously acquire and adapt skills through experience, enhancing flexibility and adaptability in v…
cs.RO2025
Learning thin deformable object manipulation with a multi-sensory integrated soft hand
Chao Zhao, Chunli Jiang, Lifan Luo +3
Robotic manipulation has made significant advancements, with systems demonstrating high precision and repeatability. However, this remarkable precision often fails to translate int…
cs.RO2025
Master Rules from Chaos: Learning to Reason, Plan, and Interact from Chaos for Tangram Assembly
Chao Zhao, Chunli Jiang, Lifan Luo +4
Tangram assembly, the art of human intelligence and manipulation dexterity, is a new challenge for robotics and reveals the limitations of state-of-the-arts. Here, we describe our…