Samar Bhattacharya
Papers
8
Total Citations
151
H-Index
7
About
Samar Bhattacharya is a prominent robotics researcher whose work centers on multi-robot systems, swarm robotics, and autonomous navigation. His research has made significant contributions to the fields of formation control, path planning, and obstacle avoidance, establishing him as a key voice in cooperative mobile robotics. Bhattacharya's most influential work, "Leader-Follower Formation Control Using Artificial Potential Functions" (2012, 37 citations), introduced a novel kinematic approach for coordinating groups of differentially driven wheeled mobile robots — a foundational contribution that continues to inform modern formation control strategies. Building on this, he pioneered virtual-region-based shape control methodologies, enabling robot swarms to navigate dynamically through unknown, obstacle-occluded environments with remarkable adaptability, as demonstrated across multiple highly cited studies from 2018 to 2021. His integration of bio-inspired evolutionary algorithms — including Bacterial Foraging Optimization and Particle Swarm Optimization — into swarm coordination reflects his commitment to intelligent, nature-inspired solutions for complex robotic challenges. His 2019 work further advanced the field by incorporating sliding mode control for robust non-holonomic robot formations. With a growing citation record exceeding 150 across his top publications, Bhattacharya's research offers invaluable frameworks for students and engineers working on autonomous multi-robot systems in real-world environments.
Research Focus
Key Achievements
Top Papers
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