Shishi Zhang
Papers
1
Total Citations
16
H-Index
1
About
Dr. Shishi Zhang has made significant contributions to the field of mobile robotics, with a primary focus on intelligent path planning and obstacle avoidance in unknown environments. Her most impactful work, a 2022 study on a novel improved artificial potential field (IAPF) algorithm, has garnered 16 citations and directly addresses critical limitations in classical approaches. By proposing a refined model that overcomes the persistent challenges of low efficiency, local optimization traps, and unreachable target issues, Dr. Zhang’s research offers a more robust and practical solution for autonomous navigation. This work is particularly valuable for real-world applications where robots must adapt to dynamic, unstructured surroundings. Her contributions not only advance theoretical understanding of potential field methods but also provide a scalable framework for enhancing the autonomy and safety of mobile robots. Dr. Zhang’s research continues to influence the development of smarter, more reliable robotic systems, making her a notable figure in the intersection of control theory and artificial intelligence.
Research Focus
Key Achievements
Top Papers
- 1