Papers
2
Total Citations
12
H-Index
2
About
Duong Dang is a roboticist whose work bridges the critical gap between manipulation and locomotion in humanoid robotics. His research centers on whole-body control, real-time footstep planning, and the unified resolution of movement tasks—enabling robots to seamlessly combine reaching, grasping, and walking as a single, optimized problem. Dang’s most influential contribution is a framework that treats locomotion and whole-body manipulation as one integrated process, using the same planner and controller for both stages of movement. This approach allows humanoid robots to dynamically adapt footsteps in real time while performing tasks like grasping at varying heights. His 2011 paper, *"A framework for manipulation and locomotion with realtime footstep replanning,"* has garnered 9 citations and laid the groundwork for practical, reactive humanoid control. In subsequent experimental work on the HRP-2 platform (2012, 3 citations), Dang demonstrated the framework’s effectiveness in real-world scenarios, showcasing whole-body tasks that require simultaneous balance and object interaction. His achievements highlight a key step toward more autonomous, versatile humanoids capable of operating in human environments.
Research Focus
Key Achievements
Top Papers
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