Papers
1
Total Citations
58
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1
About
Abdul Qadir Faridi is a leading researcher in robotics and artificial intelligence, specializing in multi-robot systems and dynamic path planning in unknown environments. His most influential work, "Multi-robot multi-target dynamic path planning using artificial bee colony and evolutionary programming in unknown environment" (2018), has garnered 58 citations, establishing a foundational framework for coordinating autonomous robots in complex, unpredictable settings. Faridi’s major contribution lies in hybridizing swarm intelligence—specifically the artificial bee colony algorithm—with evolutionary programming to enable real-time, collision-free navigation for multiple robots pursuing multiple targets. This approach significantly advances autonomous exploration, search-and-rescue, and industrial automation. His research demonstrates how bio-inspired optimization can solve computationally intensive coordination problems, reducing planning time while improving robustness. Faridi’s work is widely recognized for bridging theoretical algorithms with practical robotic applications, inspiring further studies in adaptive multi-agent systems. His achievements highlight a commitment to developing scalable, efficient solutions for real-world challenges, making him a notable figure in the field of intelligent robotics.
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