Papers
4
Total Citations
19
H-Index
3
About
Chiranjib Sur is a researcher whose work lies at the intersection of swarm intelligence, multi-robot systems, and bio-inspired algorithms. His primary contributions focus on developing efficient strategies for multi-robot path planning, area exploration, and target searching and tracking in both known and unknown environments. Sur’s most cited paper, "Multi Robot Path Planning for Known and Unknown Target Using Bacteria Foraging Algorithm" (2015, 6 citations), introduces a novel application of the bacteria foraging algorithm to coordinate robot teams. He further advanced the field with "CBDF Based Cooperative Multi Robot Target Searching and Tracking Using BA" (2014, 5 citations) and "Multi-robot Area Exploration Using Particle Swarm Optimization with the Help of CBDF-based Robot Scattering" (2015, 5 citations), where he integrates cooperative behavior-driven frameworks (CBDF) with particle swarm optimization to enhance robot scattering and exploration efficiency. His work demonstrates how nature-inspired algorithms can solve complex coordination problems in robotics, offering practical solutions for autonomous systems. Though his citation counts are modest, Sur’s research provides foundational insights into decentralized robot collaboration, making his contributions valuable for students and researchers exploring swarm robotics and adaptive path planning.
Research Focus
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Top Papers
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