Edwin Hou
Papers
5
Total Citations
214
H-Index
4
About
Edwin Hou is a leading researcher in robotics and control systems, with a primary focus on multi-robot coordination, mobile robot path planning, and high-speed precision control. His most influential work, a comprehensive survey on multi-robot regular and adversarial patrolling (2019), has garnered 135 citations, establishing a foundational framework for deploying robot teams in security and surveillance applications. Hou’s early contributions include a novel path planning algorithm that integrates hierarchical hexagonal decomposition with artificial potential fields (1994, 35 citations), enabling efficient navigation in known environments. In the domain of high-speed automation, he developed optimal input shaper designs for robotic workcells (2003, 27 citations), achieving micrometer-level placement accuracy for the NIST-ATP Precision Optoelectronics Assembly Consortium. His later work on controlling swinging loads (2010) further demonstrates his expertise in managing complex oscillatory dynamics. Through these contributions, Hou has advanced both theoretical and practical aspects of robotics, impacting fields from industrial automation to autonomous security patrols.
Research Focus
Key Achievements
Top Papers
- 1A survey of multi-robot regular and adversarial patrolling135 citations · 2019
- 2
- 3Optimal Input Shaper Design For High-Speed Robotic Workcells27 citations · 2003
- 4Optimal Input Shaper Design For High-Speed Robotic Workcells15 citations · 2003
- 5High speed position control of a swinging load2 citations · 2010