Sin-Kiat Lim

Papers

1

Total Citations

5

H-Index

1

About

Sin-Kiat Lim is a prominent researcher in autonomous systems, with a primary focus on AI-driven navigation for autonomous surface vehicles (ASVs) and robotic software-hardware integration. His most-cited work, "Team NCTU: Toward AI-Driving for Autonomous Surface Vehicles — From Duckietown to RobotX" (2019), details the development of robust ASV systems for obstacle avoidance and docking, building on prior RobotX Challenge successes. This paper, with 5 citations, highlights his contributions to bridging small-scale autonomous platforms (like Duckietown) with real-world maritime applications. Lim’s research advances the fields of transportation, military, and ocean engineering by creating scalable AI architectures for unmanned vehicles. His notable achievement includes leading Team NCTU in competitive robotics challenges, demonstrating practical deployments of autonomous navigation algorithms. Through his work, Lim has helped shape the evolution of ASV technologies, emphasizing safety and efficiency in complex aquatic environments. His impact lies in translating theoretical AI models into functional, hardware-integrated systems that push the boundaries of autonomous maritime operations.

Research Focus

Key Achievements

1
H-Index
1
Papers
5
Total Citations
5
Avg Citations/Paper
🏆 Most Cited Paper
Team NCTU: Toward AI-Driving for Autonomous Surface Vehicles -- From Duckietown to RobotX
5 citations · 2019
📈 Most Prolific Year: 2019 (1 Papers)
🤝 Key Collaborators: 22

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 10 days ago