Papers

3

Total Citations

110

H-Index

3

About

Dr. Jerry Chun-Wei Lin is a leading researcher at the intersection of artificial intelligence, robotics, and autonomous systems. His work focuses on developing intelligent navigation and coordination strategies for robots operating in complex, real-world environments. A key contribution is his pioneering approach to indoor blind area navigation, where he leverages deep reinforcement learning to enable autonomous robotic path planning in spaces without direct sensor coverage—a paper that has garnered 65 citations since 2024. Dr. Lin has also significantly advanced the field of smart industrial automation through his comprehensive state-of-the-art survey on Autonomous Guided Vehicles (AGVs), cited 38 times, which systematically maps out the research challenges and future directions for these systems. Furthermore, he addresses the computationally intensive problem of multi-robot coordination by applying game-theoretic models, as detailed in his 2021 work on strategic navigation for multiple wheeled robots. This research is critical for preventing collisions in dynamic, shared workspaces. Through these contributions, Dr. Lin is shaping the future of autonomous robotics, from smart factories to indoor service robots.

Research Focus

Key Achievements

3
H-Index
3
Papers
110
Total Citations
37
Avg Citations/Paper
🏆 Most Cited Paper
An indoor blind area-oriented autonomous robotic path planning approach using deep reinforcement learning
65 citations · 2024
📈 Most Prolific Year: 2024 (1 Papers)
🤝 Key Collaborators: 16
🏛 Institutions: Silesian University of Technology, Western Norway University of Applied Sciences

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago