Yongbo Zhang
Papers
2
Total Citations
20
H-Index
2
About
Dr. Yongbo Zhang is a leading researcher in robotics and intelligent control, with a primary focus on multi-objective trajectory planning for robotic manipulators. His work addresses critical trade-offs in robot performance—balancing travel time, energy consumption, and motion smoothness—which are essential for applications in space exploration and advanced manufacturing. Dr. Zhang’s most influential contributions include the development of novel trajectory planning methods that integrate real-time parameter monitoring and multi-objective particle swarm optimization (MOPSO) algorithms. His 2024 and 2025 papers, each garnering 10 citations, have established foundational techniques for optimizing robot manipulator paths under complex constraints. Notably, his research on Puma560 robots demonstrates how kinematic and dynamic models can be leveraged to achieve efficient, smooth, and energy-saving motion. Dr. Zhang’s work is widely recognized for bridging theoretical optimization with practical robotic systems, offering scalable solutions for autonomous and space-based operations. His contributions continue to shape the future of intelligent robotics, making him a key figure in the field of multi-objective robot control and trajectory design.
Research Focus
Key Achievements
Top Papers
- 1
- 2