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About

Rabiul Hasan Kabir is a robotics researcher whose work centers on autonomous exploration, multi-agent coordination, and optimal transport theory. His major contributions lie in developing mathematically rigorous frameworks for efficient, density-aware exploration by single and multi-robot systems. Kabir’s most cited paper, “Receding-Horizon Ergodic Exploration Planning using Optimal Transport Theory” (2020, 15 citations), pioneers a novel approach to ergodic exploration by leveraging optimal transport—a departure from traditional Fourier-based methods. He extended this work to address real-world constraints in “Density-aware decentralised multi-agent exploration with energy constraint based on optimal transport theory” (2021, 13 citations), where he introduced energy-aware, priority-based coverage for robot teams. His subsequent research on decentralized, collaborative multi-robot exploration further advances scalable solutions for complex environments. With a growing citation record, Kabir’s work is notable for bridging theoretical optimal transport with practical robotic exploration, offering efficient, decentralized strategies that respect energy and priority constraints. His contributions are particularly valuable for researchers and students interested in autonomous systems, swarm robotics, and optimal control.