About

Ramviyas Parasuraman is a robotics researcher whose work sits at the intersection of multi-robot systems, wireless communication, and autonomous coordination. He has made substantial contributions to how groups of robots communicate, cooperate, and self-organize in complex, real-world environments — challenges that are central to deploying robotic systems in search-and-rescue, hazardous, and large-scale autonomous applications. Among his most recognized contributions is the development of POUND, a multi-master ROS framework that reduces communication delay and jitter in wireless multi-robot networks (47 citations), and RCAMP, a resilient motion planner enabling robots to autonomously repair wireless connectivity failures (27 citations). His rendezvous coordination strategies — including coordinate-free, bearing-aided, and multipoint approaches — have collectively attracted nearly 70 citations, reflecting their broad relevance to decentralized robot control. Parasuraman has also pioneered needs-driven and hierarchical self-adaptive frameworks for heterogeneous multi-robot cooperation, with direct applications to urban search-and-rescue missions. His earlier work on energy prediction for mobile robots in hazardous environments (30 citations) and RSS-based wireless tethering optimization (21 citations) demonstrates a sustained commitment to making field-deployable robotic systems more reliable and resilient. Across his portfolio, Parasuraman's research consistently bridges theoretical rigor with practical impact, making him a significant voice in cooperative and communication-aware robotics.

Research Focus

Key Achievements

16
H-Index
54
Papers
608
Total Citations
11
Avg Citations/Paper
🏆 Most Cited Paper
Pound: A multi-master ROS node for reducing delay and jitter in wireless multi-robot networks
47 citations · 2018
📈 Most Prolific Year: 2020 (9 Papers)
🤝 Key Collaborators: 45
🏛 Institutions: University of Georgia, Purdue University West Lafayette, European Organization for Nuclear Research, Universidad Politécnica de Madrid, Robotics Research (United States)

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 15 days ago