Jianke Chen
Papers
1
Total Citations
82
H-Index
1
About
Jianke Chen is a leading researcher in autonomous navigation and intelligent path planning, with a focus on hybrid algorithms that enhance robotic movement in complex, unpredictable environments. His most-cited work, a 2022 study on a hybrid formation path planning method combining the A* algorithm with a multi-target improved artificial potential field approach, has garnered 82 citations for its innovative solution to real-time obstacle avoidance and multi-agent coordination in 2D random settings. This contribution addresses critical challenges in robotics, such as balancing computational efficiency with dynamic adaptability, and has influenced subsequent studies in swarm robotics and autonomous vehicle systems. Chen’s research integrates classical search techniques with adaptive control, offering practical frameworks for applications in search-and-rescue, industrial automation, and unmanned aerial vehicles. His work is recognized for bridging theoretical algorithm design and real-world deployment, making him a notable figure in the field of intelligent systems and motion planning.
Research Focus
Key Achievements
Top Papers
- 1