Papers

2

Total Citations

17

H-Index

2

About

Jongkwan Park is a robotics researcher whose work centers on autonomous navigation for mobile robots, with a particular focus on corridor environments. His major contributions lie in developing practical, sensor-driven navigation systems that enable differential drive robots to operate without artificial landmarks or reflectors. Park’s most cited paper (10 citations) introduces an autonomous navigation system that leverages a laser scanner to estimate distances between the robot and corridor walls, using natural landmarks and an adaptive breakpoint detector for robust path planning. A closely related follow-up paper (7 citations) refines this approach, emphasizing the use of structural features like walls and pillars to guide movement. Together, these works demonstrate Park’s expertise in laser-based perception, real-time obstacle avoidance, and localization in structured indoor spaces. His research has practical implications for service robots, warehouse automation, and assistive mobility devices, offering cost-effective solutions for environments where GPS is unavailable. Park’s contributions are foundational for researchers exploring sensor fusion, SLAM, and low-cost autonomous navigation systems.

Research Focus

Key Achievements

2
H-Index
2
Papers
17
Total Citations
9
Avg Citations/Paper
🏆 Most Cited Paper
Autonomous navigation system for a mobile robot using a laser scanner in a corridor environment
10 citations · 2015
📈 Most Prolific Year: 2015 (2 Papers)
🤝 Key Collaborators: 3
🏛 Institutions: Chungbuk National University

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
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