Md. Shaghil
Papers
1
Total Citations
49
H-Index
1
About
Md. Shaghil is a robotics researcher whose work focuses on multi-robot systems, task allocation, and energy-efficient coordination. His most-cited paper, "Consensus-based fast and energy-efficient multi-robot task allocation" (2022), has garnered 49 citations, reflecting its impact on the field. In this work, Shaghil introduced a novel consensus-based algorithm that enables multiple robots to dynamically assign tasks while minimizing energy consumption and reducing computational overhead. This contribution addresses a critical challenge in swarm robotics: balancing speed, efficiency, and scalability in real-time operations. His research has practical implications for applications such as search-and-rescue missions, warehouse automation, and environmental monitoring, where energy constraints and rapid decision-making are paramount. Shaghil's approach stands out for its decentralized nature, allowing robots to operate without a central controller, which enhances robustness in dynamic environments. Beyond this flagship paper, his broader work explores optimization in multi-agent systems, making him a notable voice in advancing autonomous coordination. For students and researchers, Shaghil's contributions offer a clear pathway into the intersection of robotics, energy efficiency, and distributed intelligence.
Research Focus
Key Achievements
Top Papers
- 1Consensus-based fast and energy-efficient multi-robot task allocation49 citations · 2022