Qian Wang

Shanghai Jiao Tong University, National University of Defense Technology

Papers

Total Citations

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About

Qian Wang is a robotics and autonomous systems researcher whose work spans intelligent force control, accident reconstruction, and semantic navigation for autonomous vehicles. His foundational 2012 contribution, "Tracking and Understanding Unknown Surface With High Speed by Force Sensing and Control for Robot," tackled a critical challenge in robotic force control — enabling robots to blindly track unknown surfaces at high speed without damaging fragile objects. This action-based intelligence framework, which translates direct force sensing into real-time robotic response, has garnered 17 citations and remains a notable reference in robot control literature. More recently, Wang has expanded his research into human-machine interaction and safety, proposing a humanoid robot-based methodology for reconstructing car-running pedestrian accidents — a novel approach addressing longstanding limitations of traditional multibody and finite element human body models. Alongside this, his 2023 work on semantic navigation map construction for urban environments reflects his growing engagement with autonomous driving technologies, contributing practical solutions for mapping and localization in complex real-world settings. Together, Wang's portfolio demonstrates a consistent drive to bridge sensing, intelligence, and physical safety across robotics and transportation domains.