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cs.CV2026
PEAfowl: Perception-Enhanced Multi-View Vision-Language-Action for Bimanual Manipulation
Qingyu Fan, Zhaoxiang Li, Jinrui Hu +8
Bimanual manipulation in cluttered scenes requires policies that remain stable under occlusions, viewpoint changes and scene variations. Existing vision-language-action models ofte…
cs.CV2025
MotionPRO: Exploring the Role of Pressure in Human MoCap and Beyond
Shenghao Ren, Yi Lu, Jiayi Huang +5
Existing human Motion Capture (MoCap) methods mostly focus on the visual similarity while neglecting the physical plausibility. As a result, downstream tasks such as driving virtua…