Papers
1
Total Citations
14
H-Index
1
About
Haoxiang Su is a researcher advancing the frontier of soft robotics, with a focus on motion planning and control in complex, unstructured environments. His key research areas include soft robot kinematics, path planning, and obstacle avoidance, where he addresses the unique challenges posed by the high flexibility and multiple degrees of freedom inherent in soft-bodied systems. Su’s most notable contribution is his development of an improved particle swarm optimization algorithm for path planning with obstacle avoidance, a critical innovation that enables soft robotic arms to navigate constrained spaces despite kinematic coupling. This work, published in 2023 and already garnering 14 citations, demonstrates his ability to merge computational intelligence with practical robotic design. His research holds promising applications in space exploration and hazardous environment inspection, where traditional rigid robots fall short. By tackling the fundamental problem of motion planning for highly deformable systems, Su is helping to unlock the full potential of soft robots for real-world deployment.
Research Focus
Key Achievements
Top Papers
- 1