Papers

3

Total Citations

14

H-Index

2

About

Junhyung Kim is a researcher at the forefront of humanoid robotics and adaptive materials, whose work bridges the gap between theoretical locomotion models and practical, stable robot walking. His primary research areas include whole-body motion planning, bipedal walking pattern generation, and the development of bio-inspired adhesive systems. Kim’s most significant contribution is his innovative approach to humanoid walking, where he demonstrated that incorporating pelvic rotation and arm swing can dramatically improve stride length and yaw angular momentum compensation—a critical advancement for achieving fast, stable locomotion in humanoids. His 2021 paper on this topic, with 8 citations, is complemented by his work on a hybrid position/torque ankle controller that minimizes zero-moment point (ZMP) errors, directly addressing the limitations of simplified models like the linear inverted pendulum model. More recently, Kim has expanded into materials science, co-authoring a 2025 study on adaptive dry adhesives that use shape memory elastomeric bilayers to overcome the traditional trade-off between adhesion strength and fracture toughness. With a total of 14 citations across his most-cited works, Kim’s interdisciplinary research is paving the way for more agile, robust humanoid robots and smarter adhesive technologies.

Research Focus

Key Achievements

2
H-Index
3
Papers
14
Total Citations
5
Avg Citations/Paper
🏆 Most Cited Paper
Whole-body walking pattern using pelvis-rotation for long stride and arm swing for yaw angular momentum compensation
8 citations · 2021
📈 Most Prolific Year: 2021 (2 Papers)
🤝 Key Collaborators: 6
🏛 Institutions: Convergence, Pohang University of Science and Technology

Top Papers

  1. 1
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  3. 3

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago