Xiangtang Zhao
Papers
9
Total Citations
28
H-Index
3
About
Xiangtang Zhao is an emerging robotics researcher specializing in multi-robot coordination, motion planning, and stability analysis, with a particular focus on cooperative lifting, towing, and suspension systems. His work addresses fundamental challenges in deploying teams of robots to collaboratively transport and maneuver heavy or complex loads in real-world environments. Zhao's most significant contributions lie in developing rigorous analytical frameworks for multi-robot coordinated systems. He has advanced workspace analysis methodologies—including an improved Monte-Carlo algorithm for boundary determination—alongside kinematics modeling for systems with both rolling and floating bases. His stability investigations, employing techniques such as the stability cone method, provide critical safety guarantees for these complex configurations. Complementing this foundational work, Zhao has made notable strides in obstacle avoidance planning, proposing hybrid algorithms like the SDBO–IDWA framework that integrate swarm intelligence optimization with dynamic navigation strategies, enabling robots to coordinate force and position simultaneously while navigating dynamic environments. Accumulating over 28 citations across nine publications spanning just three years, Zhao demonstrates a rapidly growing scholarly impact. His research portfolio reflects a coherent progression from static analysis toward dynamic, real-time operational challenges, making his work highly relevant for students and engineers advancing autonomous construction, logistics, and industrial robotics applications.
Research Focus
Key Achievements
Top Papers
- 1Workspace Analysis of a Floating Multi-Robot Coordinated Lifting System6 citations · 2024
- 2
- 3
- 4
- 5
- 6
- 7
- 8
- 9