2 papers
cs.RO2026
HT-Bench: Benchmarking and Learning Dexterous Full-Hand Tactile Representations with Egocentric Vision
Yuzhe Huang, Jiaping Wu, Jiaming Jiang +8
Establishing a universal benchmark for tactile representation learning in robotic manipulation remains challenging due to the diversity of tactile sensor designs, data formats, and…
cs.RO2023
Multi-Stage Reinforcement Learning for Non-Prehensile Manipulation
Dexin Wang, Faliang Chang, Chunsheng Liu
Manipulating objects without grasping them enables more complex tasks, known as non-prehensile manipulation. Most previous methods only learn one manipulation skill, such as reach…