Jianyan Tian
Papers
6
Total Citations
31
H-Index
4
About
Jianyan Tian is a robotics researcher whose work centers on intelligent path planning, trajectory optimization, and autonomous inspection systems for industrial applications. A key contribution is the development of a real-time path planning algorithm for mobile robots that integrates a safety distance matrix with an adaptive weight adjustment strategy, a paper that has already garnered 11 citations since its 2024 publication. Tian has also advanced rail inspection robotics through an improved penalty function simulated annealing particle swarm algorithm for trajectory planning, and a hybrid polynomial interpolation method designed to reduce angular velocity and acceleration amplitudes during dynamic target tracking. In the domain of substation automation, Tian’s research on measuring point localization and sensor pose control for GIS partial discharge detection robots addresses a critical gap by enabling autonomous inspection of gas insulated switchgear—a task traditionally performed manually. Additional work includes 6-DoF pose estimation of texture-less objects using DenseFusion, and a continuous-time distributed control algorithm for achieving dynamic average consensus in multi-robot systems. With a growing citation record and a focus on practical, real-world deployment, Tian’s research is shaping the next generation of intelligent, autonomous inspection robots.
Research Focus
Key Achievements
Top Papers
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- 56-DoF Pose Estimation of Texture-Less Objects Based on DenseFusion2 citations · 2021
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