Papers

1

Total Citations

55

H-Index

1

About

Chao Ke is a prominent researcher in robotics and autonomous systems, with a primary focus on motion planning under complex constraints. His most influential work, "Research on Robot Motion Planning Based on RRT Algorithm with Nonholonomic Constraints" (2021), has garnered 55 citations and stands as a key contribution to the field. In this paper, Ke advanced the Rapidly-exploring Random Tree (RRT) algorithm by integrating nonholonomic constraints—such as those governing wheeled or articulated robots—enabling more realistic and efficient path generation for vehicles that cannot move in arbitrary directions. This work bridges theoretical algorithm design with practical robotic applications, offering solutions for autonomous navigation in constrained environments. Ke’s research addresses critical challenges in real-world robotics, including obstacle avoidance and kinematic feasibility, making his contributions highly relevant for engineers developing autonomous vehicles, mobile manipulators, and field robots. With his work cited by peers in robotics and control systems, Chao Ke continues to shape the future of intelligent motion planning, inspiring both academic inquiry and industrial innovation.

Research Focus

Key Achievements

1
H-Index
1
Papers
55
Total Citations
55
Avg Citations/Paper
🏆 Most Cited Paper
Research on Robot Motion Planning Based on RRT Algorithm with Nonholonomic Constraints
55 citations · 2021
📈 Most Prolific Year: 2021 (1 Papers)
🤝 Key Collaborators: 5
🏛 Institutions: University of Shanghai for Science and Technology

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago