Ghassan Jasim AL-Anizy
Papers
1
Total Citations
33
H-Index
1
About
Ghassan Jasim AL-Anizy is a leading researcher in the field of multi-robot systems, with a primary focus on decentralized collision avoidance and autonomous path planning. His most cited work, the 2022 systematic review "Decentralized Multi-Robot Collision Avoidance: A Systematic Review from 2015 to 2021" (33 citations), provides a critical synthesis of state-of-the-art algorithms for coordinating robot teams in complex environments. AL-Anizy’s research addresses fundamental challenges in deploying mobile robots for exploration tasks—such as disaster site assessment and sewer inspection—where human access is limited. By analyzing symmetrical path-planning issues and collision avoidance strategies, he has contributed to safer, more efficient multi-robot coordination. His work is particularly impactful for real-time applications, enabling robots to navigate dynamic, unpredictable settings while maintaining optimal performance. Beyond his review, AL-Anizy’s contributions have influenced the design of decentralized control architectures, advancing the reliability of autonomous systems. His research bridges theoretical frameworks and practical deployment, making him a key figure in the evolution of collaborative robotics for hazardous and hard-to-reach environments.
Research Focus
Key Achievements
Top Papers
- 1