Papers
6
Total Citations
291
H-Index
5
About
Hoyeon Kim is a robotics researcher whose work spans mobile robot navigation, human-robot interaction, and service robotics. Best known for pioneering contributions to human-aware robot systems, Kim's most influential work — "The Detection and Following of Human Legs Through Inductive Approaches for a Mobile Robot With a Single Laser Range Finder" (2011, 131 citations) — introduced robust techniques for enabling mobile robots to detect and follow humans using a single laser range finder, a breakthrough with direct applications in shopping carts, airport porter robots, and museum guides. Complementing this, his 2009 paper on safe navigation in dynamic indoor environments (85 citations) addressed a fundamental challenge in collision avoidance by accounting for obstacles beyond a robot's immediate field of view. Kim's earlier work on percussive massage robots for senior healthcare demonstrated a versatile interest in socially beneficial robotics. More recently, his research has expanded into decentralized multi-agent task allocation and electromechanical tissue stimulation systems, reflecting a broadening interdisciplinary reach. With over 290 cumulative citations, Kim's contributions have meaningfully advanced the field of human-friendly mobile robotics, offering foundational methods that continue to inform modern service robot development.
Research Focus
Key Achievements
Top Papers
- 1
- 2Safe Navigation of a Mobile Robot Considering Visibility of Environment85 citations · 2009
- 3Detection and tracking of human legs for a mobile service robot30 citations · 2010
- 4Design of a Percussive Massage Robot Tapping Human Backs25 citations · 2007
- 5Minimizing Communications in Decentralized Greedy Task Allocation19 citations · 2019
- 6