Attawith Sudsang
Chulalongkorn University, University of Illinois Urbana-Champaign
Papers
19
Total Citations
475
H-Index
10
About
Attawith Sudsang is a leading roboticist whose research lies at the intersection of robotic manipulation, motion planning, and autonomous navigation. His most influential work addresses the fundamental challenge of enabling robots to interact with and manipulate objects in unstructured environments. His seminal 2010 paper on grasping novel objects using depth segmentation (129 citations) revolutionized how robots approach cluttered scenes by simplifying the grasping task through intelligent scene understanding. In a series of highly cited papers from 2002-2003 (totaling over 200 citations), Sudsang established foundational frameworks for multi-robot manipulation, introducing the concept of Maximum Independent Capture Discs (MICaDs) for coordinating disc-shaped robots to manipulate polygonal objects in the plane. His work on robust local obstacle avoidance using the Dynamic Window approach (53 citations) has become a standard reference for mobile robot navigation. Sudsang has also contributed to SLAM systems using omnidirectional cameras and plane detection methods for RGB-D sensors, demonstrating his versatility across perception and control. His theoretical contributions to coverage diameters of polygons and sufficient conditions for object capture provide rigorous mathematical foundations for practical robotic systems.
Research Focus
Key Achievements
Top Papers
- 1Grasping novel objects with depth segmentation129 citations · 2010
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- 6On manipulating polygonal objects with three 2-DOF robots in the plane31 citations · 2003
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- 8Coverage Diameters of Polygons14 citations · 2006
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- 10Plane detection for Kinect image sequences10 citations · 2011