Pengfei Shi
Papers
1
Total Citations
33
H-Index
1
About
Pengfei Shi is a leading researcher in robotics, with a primary focus on heterogeneous multi-robot systems and real-time path planning under complex, unknown environments. His most cited work introduces an improved real-time path planning method based on the Dragonfly Algorithm, addressing the critical challenge of coordinating diverse robots in dynamic 3D spaces. This contribution has garnered 33 citations, underscoring its significance in advancing autonomous navigation and swarm robotics. Shi’s research bridges algorithmic innovation and practical deployment, offering scalable solutions for multi-robot coordination in search-and-rescue, exploration, and industrial automation. His work is notable for tackling the intersection of optimization algorithms and real-time constraints, a persistent hurdle in robotics. By enhancing the efficiency and adaptability of heterogeneous systems, Shi has provided a foundational framework that inspires further studies in adaptive path planning and multi-agent collaboration. His achievements position him as a key contributor to the evolution of intelligent robotic systems, making his research essential reading for students and engineers seeking to understand the next generation of autonomous multi-robot operations.
Research Focus
Key Achievements
Top Papers
- 1