Xintao Chao — accepted AI-conference papers

2026

AVR: Active Vision-Driven Precise Robot Manipulation with Viewpoint and Focal Length Optimization

Yushan Liu, Shilong Mu, Xintao Chao, Zizhen Li, Yao Mu, Tianxing Chen +4

ICRA 2026poster

Robotic manipulation in complex scenes demands precise perception of task-relevant details, yet fixed or suboptimal viewpoints often impair fine-grained perception and induce occlusions, constraining imitation-learned policies. We present AVR (Active Vision-driven Robotics), a bimanual teleoperation…

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2025

Exo-ViHa: A Cross-Platform Exoskeleton System with Visual and Haptic Feedback for Efficient Dexterous Skill Learning

Xintao Chao, Shilong Mu, Yushan Liu, Shoujie Li, Chuqiao Lyu, Xiao-Ping Zhang +1

IROS 2025

Imitation learning has emerged as a powerful paradigm for robot skills learning. However, traditional data collection systems for dexterous manipulation face challenges, including a lack of balance between acquisition efficiency, consistency, and accuracy. To address these issues, we introduce Exo-V

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