Papers
7
Total Citations
95
H-Index
5
About
Jae-Yun Jun is a robotics researcher whose work bridges the gap between biological locomotion and mechanical design, with a particular focus on dynamic stability and control for legged and wheeled robots. His key research areas include bio-inspired robotics, reduced-order dynamical modeling, and trajectory planning for mobile systems operating on uneven terrain. Jun’s most impactful contribution is his 2009 study on the dynamic stability of variable stiffness running, which has garnered 32 citations and explores how leg impedance adaptation enables stable locomotion under changing loads and surfaces. He has also made significant strides in mobile robotics, developing a pose estimation-based path planning method for tracked robots on rough terrain (23 citations) and a trajectory tracking controller for skid-steering platforms that adapts the instantaneous center of rotation (13 citations). His work on curved-leg running models (12 citations) provides foundational insights into how leg shape affects effective stiffness and rolling contact. Across his portfolio, Jun’s research consistently emphasizes practical stability and control, offering valuable frameworks for designing robots that can navigate complex, real-world environments with greater robustness and efficiency.
Research Focus
Key Achievements
Top Papers
- 1Dynamic stability of variable stiffness running32 citations · 2009
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- 4A reduced-order dynamical model for running with curved legs12 citations · 2012
- 5Compliant Leg Shape, Reduced-Order Models and Dynamic Running7 citations · 2013
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