Chaojun Wang

Zhejiang University-University of Edinburgh Institute, Henan Radio and Television University, Shanghai University

Papers

Total Citations

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About

Chaojun Wang is a robotics researcher whose work spans medical robotics, humanoid locomotion, and sensor-based control. His most impactful contribution lies in advancing ultrasound-guided robot-assisted procedures, where he developed a variable impedance control system that optimizes image quality by compensating for the surgeon’s manual dexterity limitations—a critical step toward safer, more reliable intraoperative imaging. This work, published in 2021 and garnering 6 citations, addresses a key bottleneck in clinical robotics. Earlier, Wang explored force and vision sensing for robot manipulator control, proposing a method for uncertain plane surface tracing that integrates stereo vision for surface normal estimation with force feedback for contact maintenance. He also contributed to humanoid robotics with a practical omnidirectional kicking motion generator for the NAO robot, combining vision and neural network-based distance measurement. While his citation counts are modest, Wang’s research demonstrates a consistent focus on bridging perception and control—whether in surgical settings or autonomous locomotion—laying groundwork for more adaptive, sensor-driven robotic systems.