Jiankun Pang
Papers
1
Total Citations
4
H-Index
1
About
Jiankun Pang’s research centers on robotic manipulation, human-robot interaction, and trajectory optimization, with a focus on safe and energy-efficient motion planning. In his most-cited work, “Trajectory Deformation Based on Energy Optimization and Obstacle Avoidance” (2019), Pang introduced a novel approach for generating robotic arm trajectories that simultaneously minimize energy consumption and ensure collision-free motion, while respecting joint physical limits. This work stands out for its integration of human-robot interaction into the optimization framework, enabling adaptive trajectory deformation in real time. Although early in his career, Pang’s contributions address critical challenges in industrial and collaborative robotics, particularly in making robots more responsive and efficient in shared workspaces. His approach to balancing energy optimization with obstacle avoidance has practical implications for manufacturing and service robotics. With 4 citations on this paper, Pang is building a foundation for future impact, and his work is a valuable reference for researchers exploring human-aware motion planning and energy-efficient control in robotic systems.
Research Focus
Key Achievements
Top Papers
- 1