Zhenwang Yao
Papers
8
Total Citations
202
H-Index
5
About
Zhenwang Yao is a leading researcher in robotics, with a primary focus on motion planning for complex, constrained systems. His seminal work addresses the fundamental challenge of path planning with general end-effector constraints (PPGEC), where a robot’s tool must maintain a specific orientation or pose—such as a manipulator keeping a glass upright. His 2006 paper on this topic, with 78 citations, introduced novel methods that use task space information to efficiently guide configuration space search, a key contribution for redundant robots. Yao’s impact extends to distributed robotics, where he pioneered the use of sensor networks as active navigation aids. His 2011 paper on distributed roadmaps (43 citations) proposed a framework where sensor nodes collaboratively build a map to guide a robot to its goal, integrating path safety and network longevity. This work, along with his backbone-based roadmap approach, has been influential in the field of robotic sensor networks. Yao’s research elegantly bridges theoretical motion planning with practical, distributed systems, making him a notable figure in the advancement of autonomous robot navigation.
Research Focus
Key Achievements
Top Papers
- 1Path planning with general end-effector constraints78 citations · 2006
- 2
- 3Distributed Roadmaps for Robot Navigation in Sensor Networks43 citations · 2011
- 4Distributed roadmaps for robot navigation in sensor networks12 citations · 2010
- 5Backbone-based roadmaps for robot navigation in sensor networks8 citations · 2008
- 6
- 7GLOBAL PATH PLANNING WITH END-EFFECTOR CONSTRAINTS2 citations · 2005
- 8Distributed motion planning in robotic sensor networks2 citations · 2011