Papers
24
Total Citations
640
H-Index
13
About
Jungwon Seo is a robotics researcher whose work spans modular reconfigurable robotics, robotic manipulation, and autonomous multi-agent systems. His most influential contribution is a comprehensive review of modular reconfigurable robot (MRR) systems, which has garnered 176 citations and remains a foundational reference for researchers exploring versatile, robust, and cost-effective robotic architectures. Seo has also made significant strides in swarm robotics and autonomous maritime systems, developing algorithms and methodologies that enable teams of self-propelled robotic boats to autonomously dock and assemble into large floating structures — work recognized with 93 and 56 citations across two landmark studies. Beyond multi-robot systems, Seo has advanced the field of robotic manipulation through innovative techniques such as shallow-depth peg insertion, flex-and-flip manipulation of deformable linear objects, and dig-grasping for bin picking — all addressing practically challenging, real-world assembly and handling scenarios. His theoretical contributions to whole-arm grasping using curved-surface effectors further demonstrate his ability to bridge abstract mechanics and applied robotics. Seo has also produced provably correct algorithms for planar modular assembly planning, earning recognition across industrial and academic communities. Collectively, his body of work, with hundreds of citations, reflects a career dedicated to expanding the capabilities of intelligent, adaptable robotic systems.
Research Focus
Key Achievements
Top Papers
- 1Modular Reconfigurable Robotics176 citations · 2018
- 2
- 3Self-assembly of a swarm of autonomous boats into floating structures56 citations · 2014
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- 8Dynamic Flex-and-Flip Manipulation of Deformable Linear Objects24 citations · 2019
- 9
- 10Planar, bimanual, whole-arm grasping23 citations · 2012