Papers

4

Total Citations

79

H-Index

4

About

Chung Hee Kim is a robotics researcher specializing in dexterous robotic manipulation, with a particular focus on solving challenging real-world assembly and bin-picking problems. His work addresses some of the most persistent difficulties in industrial and domestic automation, including precise object insertion, cluttered bin picking, and controlled object placement. Kim's most influential contribution, "Shallow-Depth Insertion" (2019, 40 citations), introduced a novel in-hand manipulation technique enabling robots to handle thin peg-like objects in shallow holes — a problem with direct applications in consumer electronics assembly. His 2021 work on "Dig-Grasping" (23 citations) tackled the notoriously difficult challenge of bin picking for thin-profile objects, presenting an elegant method that simultaneously singulates and retrieves items from clutter. More recently, Kim has pioneered research into the underexplored concept of *dexterous ungrasping* — the controlled, secure transfer of objects from gripper to environment — producing two notable papers (2022) that together have garnered 16 citations in a short period. Collectively accumulating nearly 80 citations, Kim's research demonstrates a consistent drive to expand the functional repertoire of robotic manipulators, bridging the gap between laboratory capability and practical deployment in manufacturing and service robotics.

Research Focus

Key Achievements

4
H-Index
4
Papers
79
Total Citations
20
Avg Citations/Paper
🏆 Most Cited Paper
Shallow-Depth Insertion: Peg in Shallow Hole Through Robotic In-Hand Manipulation
40 citations · 2019
📈 Most Prolific Year: 2022 (2 Papers)
🤝 Key Collaborators: 5
🏛 Institutions: Hong Kong University of Science and Technology, Carnegie Mellon University

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago