3 papers
cs.RO2026
Learning Physical Interaction: A Survey of Tactile- and Force-aware Robot Learning
Shilin Shan, Chuhao Zhou, Ruize Wang +30
Physically grounded robot intelligence requires robots to perceive, reason about, and regulate their interactions with the physical world. This capability is particularly critical…
cs.CV2026
DeSeG: Decoupling Semantic Intent and Geometric Constraints for Physically Plausible Human-Scene Interaction
Jiakun Li, Zhe Li, Wenqiang Wu +4
Synthesizing physically plausible human-scene interactions (HSI) remains a critical challenge in computer vision and the development of human avatars. Although recent generative mo…
cs.RO2026
A0: An Affordance-Aware Hierarchical Model for General Robotic Manipulation
Rongtao Xu, Jian Zhang, Minghao Guo +11
Robotic manipulation faces critical challenges in understanding spatial affordances--the "where" and "how" of object interactions--essential for complex manipulation tasks like wip…