Papers

1

Total Citations

3

H-Index

1

About

Dr. Cao Wei-yi is a researcher focused on advancing autonomous navigation and mobile robotics, with particular expertise in path planning for complex environments. Their most cited work, "Mobile robot path planning in complex environment" (2019), addresses the critical challenge of task-oriented navigation through multi-obstacle settings under time constraints. By incorporating robot kinematics constraints—specifically for constant-speed movement—Dr. Cao developed a method that selects optimal route points, enabling efficient and collision-free traversal. This contribution has garnered 3 citations, reflecting its relevance to the robotics community. Dr. Cao’s research bridges theoretical motion planning with practical implementation, offering solutions for real-world applications such as warehouse automation, search-and-rescue, and autonomous vehicles. Their work stands out for its focus on balancing computational efficiency with physical feasibility, a key consideration in dynamic environments. Through this foundational study, Dr. Cao has laid groundwork for future innovations in adaptive and constraint-aware navigation systems, making their research a valuable reference for students and engineers seeking to enhance robot autonomy in cluttered spaces.

Research Focus

Key Achievements

1
H-Index
1
Papers
3
Total Citations
3
Avg Citations/Paper
🏆 Most Cited Paper
Mobile robot path planning in complex environment
3 citations · 2019
📈 Most Prolific Year: 2019 (1 Papers)
🤝 Key Collaborators: 3
🏛 Institutions: Naval Aeronautical and Astronautical University

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago