Jinchao Guo
Papers
6
Total Citations
149
H-Index
4
About
Jinchao Guo is a leading researcher in robotics and intelligent systems, with a primary focus on wall-climbing robot design, mobile robot path planning, and redundant manipulator trajectory optimization. His most influential work introduces a novel electro-adhesion array for wall-climbing robots, where he models and optimizes coplanar comb-shaped electrode structures using finite element analysis and quantum particle swarm optimization (QPSO)—a contribution that has garnered 64 citations and demonstrated practical adhesion on cement, glass, and wood. Guo has also advanced mobile robot navigation by integrating Dijkstra’s algorithm with bat algorithm for global path planning (36 citations) and improved artificial potential field methods for obstacle avoidance (33 citations). In redundant manipulators, he pioneered the use of chaotic QPSO for collision-free trajectory planning (11 citations) and later applied ant lion optimization for point-to-point motion (3 citations). His recent work explores smart materials, developing SEBS elastomers with barium titanate core-shell nanoparticles for dielectric elastomer actuators (2025). With over 149 total citations across his top papers, Guo’s contributions bridge theoretical optimization and practical robotic systems, making him a notable figure in electro-adhesion and bio-inspired robotics.
Research Focus
Key Achievements
Top Papers
- 1
- 2The path planning for mobile robot based on bat algorithm36 citations · 2015
- 3Path Planning of Mobile Robot Based on Improved Potential Field33 citations · 2013
- 4Trajectory planning of redundant robot manipulators using QPSO algorithm11 citations · 2010
- 5The point to point trajectory planning based on the ant lion optimiser3 citations · 2016
- 6