Shambadeb Basu

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About

Shambadeb Basu is a researcher whose work lies at the intersection of robotics, optimization, and underwater vehicle coordination. His primary research areas include multi-vehicle motion planning, mixed integer nonlinear programming (MINLP), and acoustic communication-constrained systems. Basu’s most notable contribution is a pioneering framework for the fixed-path coordination of multiple underwater vehicles under realistic acoustic communication constraints. His 2015 paper, which has garnered 25 citations, introduces a discrete-time, distributed receding horizon MINLP approach that addresses the complex challenge of synchronizing autonomous underwater vehicles while accounting for the severe bandwidth and latency limitations of underwater acoustic channels. This work is significant for enabling reliable, real-time coordination in environments where traditional communication methods fail. Beyond this flagship study, Basu’s research demonstrates a deep commitment to advancing optimization-based control for field robotics, offering practical solutions for marine exploration, surveillance, and environmental monitoring. His contributions are particularly valued by researchers working on multi-agent systems and underwater autonomy, where his MINLP framework provides a rigorous foundation for future algorithmic and applied developments.