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About

Dibyendu Ghosh is a robotics researcher whose work lies at the intersection of autonomous navigation, multi-robot coordination, and energy-efficient embedded systems. His primary contributions focus on developing intelligent path planning algorithms for mobile robots operating in cluttered and unstructured environments. Notably, his Kinematic Constraints Based Bi-directional RRT (KB-RRT) framework, published in 2019 and garnering 45 citations, introduced parameterized trajectories for optimal and smooth path planning—a critical capability for real-time, edge-deployed autonomous operations. Building on this, his PG-RRT algorithm (2021) further advanced the field by employing Gaussian Mixture Models to generate kinematically constrained paths in challenging terrains. Beyond single-robot navigation, Ghosh has made significant strides in multi-robot systems. His work on a distributed, autonomous, and collaborative multi-robot system, featured in a 2019 IEEE paper with 20 citations, demonstrated a low-power robot System-on-Chip (SoC) fabricated in 22nm CMOS for integrated battery-powered minibots. This achievement highlights his ability to bridge algorithmic innovation with hardware implementation. Additionally, his research on lossless data encoding for swarm robot communication addresses the critical challenge of energy-efficient coordination in large-scale robotic teams. With a growing citation footprint, Ghosh’s work is shaping the future of autonomous robotics—from intelligent path planning to scalable, collaborative multi-robot systems.