Zihang Zhao
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    • Vi-TacMan: Articulated Object Manipulation via Vision and Touch
    • TacMan-Turbo: Proactive Tactile Control for Robust and Efficient Articulated Object Manipulation
    • Simultaneous Tactile-Visual Perception for Learning Multimodal Robot Manipulation
    • An integrated mechanical-control design methodology for the active suspension of lunar crewed vehicles
    • Taccel: Scaling Up Vision-based Tactile Robotics via High-performance GPU Simulation
    • B*: Efficient and Optimal Base Placement for Fixed-Base Manipulators
    • Embedding high-resolution touch across robotic hands enables adaptive human-like grasping
    • Tac-Man: Tactile-Informed Prior-Free Manipulation of Articulated Objects
    • MiniTac: An Ultra-Compact 8 mm Vision-Based Tactile Sensor for Enhanced Palpation in Robot-Assisted Minimally Invasive Surgery
    • Rearrange indoor scenes for human-robot co-activity
    • A low-cost robot with autonomous recharge and navigation for weed control in fields with narrow row spacing

Vi-TacMan: Articulated Object Manipulation via Vision and Touch

2026-04-12·
Leiyao Cui
Zihang Zhao
Zihang Zhao
,
Sirui Xie
,
Wenhuan Zhang
,
Zhi Han
,
Yixin Zhu
Cite ArXiv pdf code dataset video web
Type
Conference paper
Publication
IEEE International Conference on Robotics and Automation
Last updated on 2026-05-06
Zihang Zhao
Authors
Zihang Zhao
PhD Candidate
TacMan-Turbo: Proactive Tactile Control for Robust and Efficient Articulated Object Manipulation 2026-04-11 →

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