Papers
26
Total Citations
380
H-Index
11
About
Zool Hilmi Ismail is a prominent robotics researcher whose work spans cooperative multi-agent systems, swarm robotics, and autonomous robot navigation. Based at the intersection of computational intelligence and practical robotics applications, his research has made significant strides in addressing some of the field's most persistent challenges. His most influential contribution, a 2019 survey on cooperative multi-agent robot systems (82 citations), established a foundational reference for researchers navigating the complexities of autonomous agent coordination. This was complemented by systematic reviews on swarm robotics and target search strategies, collectively accumulating over 60 citations and cementing his role as a critical synthesizer of emerging knowledge in the field. Ismail has also made notable technical contributions, including novel approaches to the kidnapped robot problem in Monte Carlo localization, hybrid fuzzy-potential field methods for autonomous oil spill tracking, and event-triggered consensus controllers for multi-robot motion coordination. His 2021 work applying deep reinforcement learning to decentralized task allocation reflects his commitment to advancing intelligent, scalable robotic systems. With a body of work spanning over a decade and more than 300 cumulative citations, Ismail's research offers students and practitioners alike both rigorous theoretical frameworks and innovative practical solutions across the evolving landscape of autonomous robotics.
Research Focus
Key Achievements
Top Papers
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- 4Real-time Hand Gestures System for Mobile Robots Control30 citations · 2012
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- 7Broadcast control of multi-robot systems with norm-limited update vector21 citations · 2020
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