Jianlei Zhang
Papers
7
Total Citations
76
H-Index
3
About
Jianlei Zhang is an emerging researcher whose work sits at the intersection of autonomous robotics, swarm intelligence, and machine learning. His research tackles some of the most challenging problems in modern robotics: enabling autonomous systems to navigate, search, and collaborate effectively in unknown and dynamic environments. Zhang's major contributions span several interconnected areas. His work on open-set recognition with sonar images addresses the critical challenge of classifying previously unseen objects — a problem with significant implications for underwater robotics — garnering 29 citations since 2024. His deep-learning framework for UAV autonomous exploration has similarly attracted strong attention with 23 citations. In multi-robot coordination, Zhang has developed distributed model predictive control frameworks and adaptive communication strategies that allow robot swarms to efficiently search for multiple targets in uncertain environments, demonstrating his commitment to practical, scalable solutions. His research also extends to task allocation under uncertainty, reinforcement learning-based path planning, and complete-coverage algorithms for robot teams. Collectively, his work reflects a sophisticated understanding of the interplay between perception, planning, and coordination in autonomous systems. With a growing citation record across multiple high-impact topics, Zhang represents a promising voice in the next generation of robotics and AI researchers.
Research Focus
Key Achievements
Top Papers
- 1Open-set recognition with long-tail sonar images29 citations · 2024
- 2Deep-learning based autonomous-exploration for UAV navigation23 citations · 2024
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- 6A Reinforcement Learning based RRT Algorithm with Value Estimation2 citations · 2022
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