Peiyang Jiang
Papers
1
Total Citations
9
H-Index
1
About
Peiyang Jiang is a robotics researcher whose work centers on the motion planning and control of redundant manipulators, with a particular emphasis on trajectory optimization in complex, obstacle-filled environments. His most-cited paper, "Evolutionary multi-objective trajectory optimization for a redundant robot in Cartesian space considering obstacle avoidance" (2022, 9 citations), introduces a novel method for end-effector trajectory planning that leverages a cosine polynomial function for smooth interpolation and multi-objective optimization to simultaneously minimize path length, joint displacement, and collision risk. This work directly addresses a critical challenge in industrial and service robotics: ensuring safe, efficient motion in cluttered spaces. By framing obstacle avoidance as an optimization problem rather than a simple constraint, Jiang’s approach enables robots to find Pareto-optimal trajectories that balance competing goals. Though early in his career, his research has already been recognized for its practical relevance, offering a scalable framework for redundant robots operating in dynamic, human-centered environments. His contributions are foundational for advancing autonomous manipulation in manufacturing, healthcare, and domestic robotics.
Research Focus
Key Achievements
Top Papers
- 1