Jianjun Yao
Papers
11
Total Citations
60
H-Index
5
About
Jianjun Yao is a leading researcher in robotics, with a primary focus on bio-inspired climbing robots, industrial automation, and advanced motion planning. His pioneering work on inchworm-like climbing robots, grounded in screw theory and optimized using quantum-behaved particle swarm optimization, has laid the foundation for robots capable of navigating unstructured environments in agriculture, forestry, and high-altitude operations. Yao has also made significant contributions to industrial robotics, including the development of a wheeled train uncoupling robot with four degrees of freedom, designed to replace humans in hazardous marshalling yard tasks, and a 6-DOF manipulator for shipbuilding that optimizes milling paths through multi-objective redundancy. His work on a jumping leg robot, optimized using generalized inertia ellipsoid theory, further demonstrates his versatility. With over 60 citations across his top ten papers, Yao’s impact is evident. Notable recent achievements include his 2025 work on time-jerk optimal trajectory planning under jerk constraints via convex optimization, and the development of SiLK-SLAM, a visual SLAM system using learned keypoints for robust performance under challenging conditions. His research continues to push the boundaries of robotic efficiency, safety, and autonomy.
Research Focus
Key Achievements
Top Papers
- 1Screw theory based motion analysis for an inchworm-like climbing robot12 citations · 2014
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- 10Event-Triggered Nonlinear Visual Predictive Control Strategy for Robots2 citations · 2025