Haotian Zhu
Papers
1
Total Citations
15
H-Index
1
About
Haotian Zhu is a researcher in robotics and autonomous systems, with a primary focus on motion planning and obstacle avoidance in complex environments. His most notable contribution is the development of an improved RRT∗ algorithm for automatic charging robot arms, addressing critical challenges in electric vehicle infrastructure. This work, published in 2023 and garnering 15 citations, enhances path planning efficiency by enabling robots to navigate cluttered spaces, find optimal trajectories, and complete automated charging tasks with greater reliability and shorter path distances. Zhu’s research directly tackles the low efficiency and long path lengths that have historically hindered practical deployment of robotic charging systems. By refining the RRT∗ framework, he has advanced the state of the art in real-time obstacle avoidance, making autonomous charging more feasible for real-world applications. His work sits at the intersection of algorithm design, robotics, and sustainable transportation, offering tangible solutions for the growing electric vehicle ecosystem. As a researcher, Zhu demonstrates a commitment to translating theoretical path planning improvements into functional robotic systems, with potential impacts on smart manufacturing and service robotics.
Research Focus
Key Achievements
Top Papers
- 1