4 papers
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…
RF-MatID: Dataset and Benchmark for Radio Frequency Material Identification
Xinyan Chen, Qinchun Li, Ruiqin Ma +3
Accurate material identification plays a crucial role in embodied AI systems, enabling a wide range of applications. However, current vision-based solutions are limited by the inhe…
Zero-Shot Open-Vocabulary Human Motion Grounding with Test-Time Training
Yunjiao Zhou, Xinyan Chen, Junlang Qian +2
Understanding complex human activities demands the ability to decompose motion into fine-grained, semantic-aligned sub-actions. This motion grounding process is crucial for behavio…
X-Fi: A Modality-Invariant Foundation Model for Multimodal Human Sensing
Xinyan Chen, Jianfei Yang
Human sensing, which employs various sensors and advanced deep learning technologies to accurately capture and interpret human body information, has significantly impacted fields l…