Md Taslim Haidar
Papers
1
Total Citations
25
H-Index
1
About
Md Taslim Haidar is a researcher whose work lies at the intersection of robotics, optimization, and artificial intelligence, with a particular focus on multi-robot systems and bio-inspired algorithms. His most cited paper, "Navigational Path Planning of MultiRobot using Honey Bee Mating Optimization Algorithm 'HBMO'" (2011, 25 citations), represents a significant contribution to the field of autonomous navigation. In this work, Haidar pioneered the application of the Honey Bee Mating Optimization (HBMO) algorithm—a meta-heuristic inspired by the mating behavior of honey bees—to solve the complex problem of path planning for multiple robots operating in shared environments. This approach demonstrated how evolutionary and nature-inspired algorithms could effectively coordinate robot movements, avoid collisions, and optimize routes in real-time. The paper's enduring citation count reflects its foundational role in advancing swarm robotics and multi-agent systems. Haidar's research showcases the power of combining biological principles with computational methods to tackle engineering challenges, making his work particularly valuable for students and researchers exploring autonomous systems, optimization techniques, and the growing field of bio-inspired robotics.
Research Focus
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Top Papers
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