Li-Ren Kang

National Yang Ming Chiao Tung University

Papers

3

Total Citations

54

H-Index

2

About

Li-Ren Kang is a robotics researcher specializing in autonomous navigation, human-robot collaboration, and intelligent control systems for mobile robots. His most impactful work, "Navigation Control Design of a Mobile Robot by Integrating Obstacle Avoidance and LiDAR SLAM" (2018, 44 citations), presents a novel system that fuses laser-based SLAM localization with real-time obstacle avoidance, enabling reliable personnel guidance in daily-life environments. This work, implemented within a ROS architecture, has become a foundational reference for researchers developing service robots. Kang further advanced the field with his research on autonomous docking in human-robot collaborative settings for Automated Guided Vehicles (AGVs, 2020, 8 citations), where he integrated human motion detection to allow robots to safely cooperate with people. His most recent contribution, "Object-Oriented Navigation with a Multi-layer Semantic Map" (2022, 2 citations), introduces a groundbreaking architecture that enables a robot to navigate and dock relative to a specific object using a multi-layer semantic map, bridging the gap between low-level control and high-level understanding. Through these works, Kang is shaping the future of intelligent, human-aware mobile robotics.

Research Focus

Key Achievements

2
H-Index
3
Papers
54
Total Citations
18
Avg Citations/Paper
🏆 Most Cited Paper
Navigation Control Design of a Mobile Robot by Integrating Obstacle Avoidance and LiDAR SLAM
44 citations · 2018
📈 Most Prolific Year: 2018 (1 Papers)
🤝 Key Collaborators: 9
🏛 Institutions: National Yang Ming Chiao Tung University

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago