Jaehoon An
Papers
3
Total Citations
12
H-Index
2
About
Jaehoon An is a robotics researcher whose work focuses on enabling legged robots—both bipedal and quadrupedal—to navigate and interact with complex, real-world environments. His key research areas include ground reaction force estimation, path planning over rough terrain, and robust leg structure design. An’s major contributions lie in integrating artificial neural networks to estimate ground reaction forces for dynamic-legged systems, allowing robots to adapt to unpredictable surfaces like sand or narrow stepping stones. He also developed a two-stage path planning framework for humanoid robots that uses a 2.5D height map and A* search to generate traversable, collision-free paths over challenging terrain. His work on quadruped robot stability has advanced robust leg structure designs, improving control in uneven environments. With over a dozen citations across his most-cited papers—including 5 citations each for his 2023 and 2022 works—An’s research is gaining traction in the robotics community. His achievements demonstrate a clear focus on bridging the gap between theoretical control and practical locomotion, making his work valuable for students and researchers interested in autonomous navigation and adaptive robotics.
Research Focus
Key Achievements
Top Papers
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