Yanjun Wang

Rutgers, The State University of New Jersey, Shanghai Jiao Tong University, Ontario Tech University, University of British Columbia

Papers

Total Citations

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About

Yanjun Wang is a robotics researcher whose work spans soft actuation, MRI-safe sensing, and intelligent robotic manipulation. Their pioneering contributions include the development of pneumatically driven elastomeric rotary actuators—soft motors that mimic peristaltic motion to enable resilient locomotion across irregular terrain and underwater environments, a concept with 72 citations that has opened new avenues in soft robotics. In medical robotics, Wang designed an MR-safe absolute rotary encoder using eccentric sheaves and fiber Bragg grating sensors, a critical component for closed-loop control in MRI-guided interventional systems. More recently, they have advanced robotic grasping by integrating multimodal data with vision-language models, addressing the limitations of unimodal perception for autonomous manipulation. Their work on deep learning-based 3D visual servoing further targets high-autonomy robotic systems for Industry 4.0. With early research in impedance control for homecare robotics, Wang’s career reflects a trajectory from foundational soft actuation to cutting-edge AI-driven manipulation, demonstrating versatility and impact across multiple domains of robotics.