Hyoung-Rock Kim

LG (South Korea)

Papers

2

Total Citations

26

H-Index

2

About

Dr. Hyoung-Rock Kim is a leading researcher at the intersection of robotics, artificial intelligence, and multi-modal perception, with a focus on developing intelligent systems for real-world environments. His work is defined by two major contributions: pioneering adaptive path planning for autonomous robots and advancing large-scale sensor data for outdoor surveillance. In his highly cited 2022 paper (16 citations), Dr. Kim introduced an adaptive coverage path planning policy for cleaning robots using deep reinforcement learning. By applying an actor-critic model and a custom simulator, he enabled robots to autonomously learn efficient navigation strategies, directly improving performance in consumer electronics applications. This work represents a significant step toward truly intelligent household robots. Expanding his impact, Dr. Kim co-authored the 2023 study on X-MAS (10 citations), an extremely large-scale multi-modal sensor dataset designed for outdoor surveillance in real environments. This comprehensive dataset addresses critical gaps in human detection, tracking, and motion recognition, providing a vital resource for the robotics and computer vision communities to develop and benchmark deep learning algorithms. Through these contributions, Dr. Kim is shaping the future of autonomous systems, from smart home devices to robust security technologies.

Research Focus

Key Achievements

2
H-Index
2
Papers
26
Total Citations
13
Avg Citations/Paper
🏆 Most Cited Paper
Adaptive Coverage Path Planning Policy for a Cleaning Robot with Deep Reinforcement Learning
16 citations · 2022
📈 Most Prolific Year: 2022 (1 Papers)
🤝 Key Collaborators: 16
🏛 Institutions: LG (South Korea)

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago