Li-Ren Kang
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
Top Papers
- 1
- 2
- 3Object-Oriented Navigation with a Multi-layer Semantic Map2 citations · 2022