Tianjun Zha

Papers

Total Citations

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About

Tianjun Zha is a robotics researcher whose work centers on force control, compliant manipulation, and autonomous navigation for industrial and inspection robots. In his most cited paper, "Research on Gridding Robots Based on Compliant Device Force Control" (2021, 5 citations), Zha addresses the challenge of precision manufacturing on complex curved surfaces by modeling a force-controlled compliant device mounted between an industrial robot arm and its polishing tool. This innovation not only improves surface finishing accuracy but also protects workers from metal dust pollution. Zha further advances mobile robot autonomy through two complementary local planning methods. His "Local Planning Method Based on Graph Optimization Framework" (2021, 4 citations) generates collision-free trajectories that respect both dynamic and kinematic constraints using a Timed Elastic Band (TEB) algorithm. Extending this work, he developed a "Local Planning Method Based on Minimum Snap Trajectory Generation and Traversable Region for Inspection of Airport Roads" (2021, 3 citations), which enables safe, high-precision autonomous inspection of airport roadways—a critical application for aviation safety. Together, these contributions demonstrate Zha’s impact on both industrial automation and field robotics, offering practical solutions for safer, more precise robotic systems.