Papers
10
Total Citations
124
H-Index
7
About
Dibyendu Roy is a leading researcher in swarm robotics and multi-robot systems, with a primary focus on formation control, path planning, and obstacle avoidance in unknown, occluded environments. His most significant contributions center on developing innovative virtual region-based shape control methodologies that enable cohesive groups of robots to navigate complex, obstacle-filled spaces while maintaining formation. Roy pioneered a switching strategy for region-based shape controllers that overcomes traditional obstacle-avoidance problems in virtual structure approaches, as detailed in his highly cited 2018 work (24 citations). His 2020 paper (23 citations) advanced this field by introducing geometric region-based control for navigating swarms through occluded fields, while his 2021 work (23 citations) extended these techniques to enable exploration of multiple unknown areas through splitting and merging behaviors. Roy has also explored evolutionary algorithms for formation control, including Bacterial Foraging and Particle Swarm Optimization, and investigated fault-tolerant V-formation control using leader-follower approaches. His research has accumulated over 120 citations, demonstrating significant impact on the swarm robotics community. Beyond robotics, Roy has contributed to vibration analysis using optical sampling and acoustic sensor arrays for anomaly detection, showcasing his versatility across intelligent systems and sensing technologies.
Research Focus
Key Achievements
Top Papers
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- 9Design and development of an acoustic sensor array for anomaly detection2 citations · 2016
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