Weihuai Wu

University of Electronic Science and Technology of China

Papers

Total Citations

H-Index

About

Weihuai Wu is a researcher specializing in autonomous navigation and path planning for planetary rovers, with a focus on developing efficient algorithms for extraterrestrial exploration. Their most cited work, "Planetary Rover Path Planning Based on Improved A* Algorithm" (2019), introduces a novel adaptation of the classic A* search algorithm to address the unique challenges of uneven terrain, obstacle avoidance, and energy constraints in planetary environments. This contribution has garnered 4 citations, reflecting its relevance to the growing field of space robotics and autonomous systems. Wu’s research bridges theoretical algorithm design with practical applications, offering improvements in computational efficiency and path optimality for rovers operating in unknown or hazardous landscapes. Their work is particularly notable for its potential to enhance mission safety and resource management in future lunar or Martian exploration. Though early in their career, Wu’s targeted contributions to path planning demonstrate a clear trajectory toward impactful innovations in robotics and space technology, making their research a valuable reference for students and engineers working on autonomous navigation systems.