TaeChoong Chung
Papers
14
Total Citations
249
H-Index
7
About
TaeChoong Chung is a leading researcher in autonomous robotics, specializing in complete coverage path planning, obstacle avoidance, and reinforcement learning for mobile robots. His most influential work, "BA*: an online complete coverage algorithm for cleaning robots" (2012), has garnered 115 citations, establishing a foundational approach for efficient, real-time navigation in unknown environments by integrating boustrophedon motions with A* search. Chung further advanced this field with "B-Theta*: an Efficient Online Coverage Algorithm for Autonomous Cleaning Robots" (2017, 29 citations), enhancing path optimality. His contributions extend to multi-robot systems, as seen in "An online complete coverage approach for a team of robots in unknown environments" (2013), and to intelligent navigation through "Obstacle Avoidance Path Planning for Mobile Robot Based on Multi Colony Ant Algorithm" (2008, 20 citations) and "Obstacle Avoidance Path Planning for Mobile Robot Based on Ant-Q Reinforcement Learning Algorithm" (2007, 19 citations). Chung has also explored heuristic search in reinforcement learning, notably in "Heuristic Search Based Exploration in Reinforcement Learning" (2007, 14 citations). With over 200 total citations, his work has significantly impacted the design of autonomous cleaning robots and mobile robot navigation, providing practical, scalable solutions for real-world applications.
Research Focus
Key Achievements
Top Papers
- 1BA*: an online complete coverage algorithm for cleaning robots115 citations · 2012
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- 5Heuristic Search Based Exploration in Reinforcement Learning14 citations · 2007
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- 8Univector Field Method Based Multi-robot Navigation for Pursuit Problem6 citations · 2012
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