robotics-biomaterials-2018-keynote

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Journal of Biomedical Research | Volume 29

October 22-23, 2018 | Frankfurt, Germany

International Conference on

Robo t i c s a n d A u t oma t i o n

B iomater ial s and Nanomater ial s

Joint Event

Jin-Woo Jung

Dongguk University, Republic of Korea

Nature inspired path planning for robotics

ath planning is one of the core research areas in robotics

which deals with finding the optimal path for robots

considering the required constraints. In this talk, we will revisit

two primitive path planning methods, cell decomposition-based

using the inspiration from nature, new concepts using opposite

angle and water-sink model are introduced for advanced path

planning. These methods give us not only the efficiency but also

the effectiveness in robot path planning problem.

Speaker Biography

Jin-Woo Jung received the B.S. and M.S. degrees in electrical engineering and

Ph.D. degree in electrical engineering and computer science from Korea Advanced

Institute of Science and Technology, Daejon, Korea, in 1997, 1999, and 2004,

respectively. Since 2006, he has been with the Department of Computer Science and

Engineering, Dongguk University, Seoul, Korea, where he is currently a Professor.

During 2001–2002, he was a Visiting Researcher with the Department of Mechano-

Informatics, University of Tokyo, Tokyo, Japan. During 2004–2006, he was a

Researcher with the Human-friendly Welfare Robot System Research Center, Korea

Advanced Institute of Science and Technology, Daejon, Korea. During 2014, he was

a Visiting Scholar with the Department of Computer and Information Technology,

Purdue University, West Lafayette, IN, USA. He has published more than 50 papers

in reputed journals and has been serving as an editorial board member of several

journals including Journal of Fuzzy Logic and Intelligent Systems.

Jin-Woo Jung

, Robotics & Biomaterials 2018, Volume 29

DOI: 10.4066/biomedicalresearch-C6-015