Zhiyao Zhao

Beijing Technology and Business University

Papers

3

Total Citations

44

H-Index

2

About

Zhiyao Zhao is a robotics researcher whose work centers on motion planning, trajectory generation, and control for robotic systems operating in complex, obstacle-rich environments. With a focus on both multi-robot formations and mobile robotic arms, Zhao has made meaningful contributions to advancing how autonomous systems navigate and interact with their surroundings safely and efficiently. Zhao's most influential work, "Null-space-based modulated reference trajectory generator for multi-robots formation in obstacle environment" (2021), has garnered 34 citations, reflecting its significance in the field of coordinated multi-robot systems. This research addresses the challenging problem of maintaining formation integrity while avoiding obstacles — a critical capability for real-world robotic deployment. Building on this foundation, Zhao has developed innovative planning and tracking approaches for mobile robotic arms, including an improved APF-RRT* algorithm that optimizes node selection for more reliable motion planning, and an enhanced Informed-RRT* algorithm designed to reduce search time, smooth path quality, and minimize mechanical vibration during operation. Zhao's body of work demonstrates a consistent drive to bridge theoretical algorithmic improvements with practical robotic performance, making meaningful contributions to the growing field of intelligent robotics and autonomous manipulation systems.

Research Focus

Key Achievements

2
H-Index
3
Papers
44
Total Citations
15
Avg Citations/Paper
🏆 Most Cited Paper
Null-space-based modulated reference trajectory generator for multi-robots formation in obstacle environment
34 citations · 2021
📈 Most Prolific Year: 2021 (1 Papers)
🤝 Key Collaborators: 9
🏛 Institutions: Beijing Technology and Business University

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 15 days ago