Shravan Krishnan
Papers
3
Total Citations
16
H-Index
3
About
Shravan Krishnan is a robotics researcher whose work focuses on the frontiers of multi-robot coordination and autonomous underwater exploration. His primary research areas include decentralized multi-agent trajectory optimization, model predictive control, and remotely operated underwater vehicles (ROVs). Krishnan’s most significant contribution is the development of scalable, decentralized algorithms that enable swarms of robots to generate collision-free, continuous-time trajectories online. His 2020 paper on this topic (10 citations) introduces a novel method using temporally distinct safe regions, allowing robots to operate safely in dynamic environments without centralized control—a critical advancement for real-world deployment. In his 2024 work on marine inspection (3 citations), Krishnan provides a comprehensive overview of ROV applications in challenging underwater environments, bridging industrial, environmental, and scientific needs. His earlier 2018 paper (3 citations) laid the groundwork for online decentralized receding horizon trajectory optimization in multi-robot systems. Through these contributions, Krishnan is advancing the practical viability of autonomous multi-robot systems, from warehouse logistics to deep-sea exploration, making him a notable emerging voice in the field.
Research Focus
Key Achievements
Top Papers
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