Jinsung Kwon

Stanford University

Papers

2

Total Citations

9

H-Index

2

About

Jinsung Kwon is a robotics researcher whose work focuses on enabling safe, real-time robot motion planning and control for operation in dynamic human environments. His key research areas include collision detection algorithms, human-robot interaction, and adaptive motion planning. Kwon made a major contribution with his 2013 paper on "Adaptive collision checking for continuous robot motions within motion constraints" (5 citations), which introduced an algorithm that efficiently verifies collision-free paths for continuous robot motions under task-specific constraints—a critical capability for robots navigating unstructured, changing spaces. His 2012 work on "Elastic strips: Implementation on a physical humanoid robot" (4 citations) demonstrated a practical approach to rapid motion plan updates, allowing humanoid robots to react safely to unexpected environmental changes without the delays of traditional replanning methods. While his citation counts reflect a focused, early-career impact, Kwon’s contributions are notable for addressing the fundamental challenge of real-time adaptability in human-centered robotics, bridging the gap between theoretical planning algorithms and physical robot execution in real-world settings.

Research Focus

Key Achievements

2
H-Index
2
Papers
9
Total Citations
5
Avg Citations/Paper
🏆 Most Cited Paper
Adaptive collision checking for continuous robot motions within motion constraints
5 citations · 2013
📈 Most Prolific Year: 2013 (1 Papers)
🤝 Key Collaborators: 2
🏛 Institutions: Stanford University

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago