A Comprehensive Study of Recent Path-Planning Techniques in Dynamic Environments for Autonomous Robots
Nour Ayman Abujabal, Mohammed Baziyad, Raouf Fareh, Brahim Brahmi, Tamer Rabie, Maâmar Bettayeb
Abstract
This paper presents a comprehensive review of path planning in dynamic environments. This review covers the entire process, starting from obstacle detection techniques, through path-planning strategies, and also extending to formation control and communication styles. The review discusses the key trends, challenges, and gaps in current methods to emphasize the need for more efficient and robust algorithms that can handle complex and unpredictable dynamic environments. Moreover, it discusses the importance of collaborative decision making and communication between robots to optimize path planning in dynamic scenarios. This work serves as a valuable resource for advancing research and practical applications in dynamic obstacle navigation.