Papers
1
Total Citations
3
H-Index
1
About
Dr. Zeng Zhang is a researcher specializing in mobile robotics, with a particular focus on path planning and obstacle avoidance in dynamic environments. Their most notable contribution is the development of a four-direction search method for mobile robot navigation, which intelligently models obstacle collision energy using neural networks. This work, published in 2020, has garnered 3 citations and provides a foundation for improving robot adaptability in changing settings by testing various invariant step lengths in static environments. Dr. Zhang’s research addresses critical challenges in autonomous navigation, aiming to enhance the safety and efficiency of robotic systems. While their citation count is modest, their innovative approach to integrating neural network-based energy modeling with path planning algorithms marks a meaningful step forward in the field. Dr. Zhang’s work is particularly relevant for students and researchers interested in the intersection of artificial intelligence and robotics, offering practical insights into designing more responsive and robust mobile robots for real-world applications.
Research Focus
Key Achievements
Top Papers
- 1A Mobile Robot Path Planning Scheme for Dynamic Environments3 citations · 2020