Papers
1
Total Citations
6
H-Index
1
About
Jihun Cha is a researcher whose work lies at the intersection of swarm robotics, multi-agent systems, and bio-inspired control. His most cited paper, "Lennard-Jones potential field-based swarm systems for aggregation and obstacle avoidance" (2017, 6 citations), introduces a novel approach to coordinating groups of autonomous agents by drawing inspiration from molecular dynamics. In this work, Cha adapts the Lennard-Jones potential—a classical model used to describe atomic interactions—to generate both attractive and repulsive forces among agents, enabling them to aggregate cohesively while effectively avoiding obstacles. This elegant fusion of physics-based modeling and robotics offers a scalable, decentralized solution for swarm coordination, with potential applications in search-and-rescue, environmental monitoring, and autonomous exploration. Although his citation count is modest, the conceptual depth and interdisciplinary nature of his contribution mark him as an emerging voice in the field. Cha’s work demonstrates how principles from molecular physics can be repurposed to solve complex engineering challenges, making his research particularly valuable for students and researchers interested in the intersection of swarm intelligence, control theory, and nature-inspired algorithms.
Research Focus
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Top Papers
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