Jintao Ye

Papers

Total Citations

H-Index

About

Jintao Ye is a robotics researcher focused on advancing autonomous manipulation and path planning for robotic systems. His work primarily addresses two critical challenges: optimizing robot manipulator trajectories while respecting end-effector path constraints, and developing novel global path planning methods for mobile robots. In his most-cited paper, "Multi-objective optimal trajectory planning for robot manipulator attention to end-effector path limitation" (2024, 13 citations), Ye tackles the dangerous problem of trajectory parameter adjustments causing unintended deviations from prescribed Cartesian-space paths. He proposes a multi-objective optimization framework that balances trajectory efficiency with strict path adherence, a contribution vital for precision tasks in manufacturing and surgery. His second notable work, "A novel global path planning method for robot based on dual-source light continuous reflection" (2024, 2 citations), introduces an innovative bio-inspired approach using light reflection principles to generate collision-free paths in complex environments. Though early in his career, Ye's research demonstrates a keen understanding of real-world robotic constraints and offers practical solutions that bridge theoretical optimization with application-driven safety. His work is particularly relevant for students and engineers developing intelligent, constraint-aware robotic systems.