JeongPil Shin
Papers
8
Total Citations
74
H-Index
6
About
JeongPil Shin is a rising force in mobile robotics, specializing in stair-climbing locomotion and adaptive manipulation for service applications. His core research centers on developing innovative robotic platforms that can seamlessly navigate complex environments, particularly stairs, and perform delicate tasks like dish collection and last-mile delivery. Shin’s major contributions include the design and optimization of tri-wheel-based stair-climbing robots, where he has systematically explored tail shape and body profile to enhance stability and efficiency. His work on the LEVO platform introduced wheel-mode switching primitives, while the WAVE robot demonstrated a four-bar linkage mechanism for robust stair climbing, achieving 8 citations. With over 74 total citations across his most-cited papers, Shin’s impact is evident in his parametric design optimizations and the development of adaptive grippers like the LBH and BTS, which combine linkage and belt mechanisms for compliant grasping. His recent WAVES robot, featuring soft-material adaptability, further pushes the boundaries of minimal-control stair climbing. Shin’s research is not only technically rigorous but also practically oriented, targeting real-world challenges in logistics and service robotics, making him a notable contributor to the field.
Research Focus
Key Achievements
Top Papers
- 1
- 2LEVO: Mobile Robotic Platform Using Wheel-Mode Switching Primitives14 citations · 2022
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- 8Optimal Design of Body Profile for Stable Stair Climbing Via Tri-wheels5 citations · 2023