2 citations · 3 across the 8 of their papers we have counts for
4 papers · 1 filter
MoDex: Planning High-Dimensional Dexterous Control via Learning Neural Internal Models
Tong Wu, Shoujie Li, Chuqiao Lyu +3
Controlling hands in high-dimensional action space has been a longstanding challenge, yet humans naturally perform dexterous tasks with ease. In this paper, we draw inspiration fro…
Chemistry3D: Robotic Interaction Benchmark for Chemistry Experiments
Shoujie Li, Yan Huang, Changqing Guo +4
The advent of simulation engines has revolutionized learning and operational efficiency for robots, offering cost-effective and swift pipelines. However, the lack of a universal si…
DeformNet: Latent Space Modeling and Dynamics Prediction for Deformable Object Manipulation
Chenchang Li, Zihao Ai, Tong Wu +3
Manipulating deformable objects is a ubiquitous task in household environments, demanding adequate representation and accurate dynamics prediction due to the objects' infinite degr…
Growing from Exploration: A self-exploring framework for robots based on foundation models
Shoujie Li, Ran Yu, Tong Wu +3
Intelligent robot is the ultimate goal in the robotics field. Existing works leverage learning-based or optimization-based methods to accomplish human-defined tasks. However, the c…