Guowei Gao — accepted AI-conference papers

2026

PGCSPose: Physics-Constrained Generation and Causal Semantic Fusion for Robust In-Hand Pose Estimation

Peiliang Wu, Yao Li, Mingyue Niu, Wenbai Chen, Guowei Gao

RA-L 2026

Accurate in-hand pose estimation is essential for dexterous robotic manipulation but remains fragile under severe visual occlusion (<inline-formula><tex-math notation="LaTeX">$>$</tex-math></inline-formula>50%) and intermittent tactile contact. Existing visuo-tactile fusion methods treat vision and

Cited by 0 Source ↗Scholar ↗

2025

MambaSlip: A Novel Multimodal Large Language Model for Real-Time Robotic Slip Detection

Shaohua Zhang, Haoze Li, Bingyi Mao, Fengda Zhao, Wenbai Chen, Guowei Gao +1

RA-L 2025

The current robotic sliding detection tasks lack an effective contextual reasoning mechanism, which leads to inaccurate decision-making in unknown environments. To address this issue, we propose MambaSlip, which leverages the advantages of large language models (LLMs) in context understanding and re

Cited by 2 Source ↗Scholar ↗