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Ramviyas Nattanmai Parasuraman

Ramviyas Parasuraman Profile Picture
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Assistant Professor of Computer Science

I'm an Assistant Professor at UGA School of Computing, with a focus on Robotics.

Previously, I was a Postdoctoral Associate at Purdue University, working with Prof. Byung-Cheol Min of SMART Lab on projects relevant to Networked Robotics and Assistive Technologies. Before that, I was working as a Postdoctoral Researcher in the Robotics Perception and Learning (RPL) lab (previously Computer Vision and Active Perception lab) at KTH Royal Institute of Technology, Sweden with Prof. Petter Ogren. At KTH, I was involved in two European projects under EU-FP7 grants, TRADR and RECONFIG.

For my doctoral research, I worked at CERN (European Organization for Nuclear Research), Switzerland, conducting research in mobile robotics and received my Ph.D. (Robotics and Automation) from Universidad Politecnica de Madrid (UPM), Spain in Oct 2014. My Ph.D. thesis titled "Wireless communication enhancement methods for mobile robots in radiation environments" was on teleoperated mobile robots for radiation survey applications at CERN. I was part of the EU-ITN project PURESAFE as a Marie-Curie Early State Researcher. I had developed tools for optimizing and predicting wireless communication in mobile robots applied in hostile environmental conditions. While at CERN, I also led a part of the Robotic Train project (TIM - Train Inspection Monorail) for conducting radiation inspections at the Large Hadron Collider (LHC).


Ph.D.; Universidad Politécnica de Madrid, Spain, 2014

M.Tech.; Indian Institute of Technology, Delhi, 2010

M.Sc. (Exchange student); EPFL, Lausanne, Switzerland, 2010

B.Engg. Anna University, Chennai, 2008


Research Interests:
  • Heterogeneous Multi-Robot Systems
  • Wireless Ad Hoc Robotic Networks
  • Search and Rescue Robotics
  • Human-Robot Interfaces for Intelligent Teleoperation
  • Robotics in Precision Agriculture
Selected Publications:

1. Sanjay Sarma OV, Ramviyas Parasuraman, and Ramana Pidaparti. “KT-BT: A Framework for Knowledge Transfer Through Behavior Trees in Multi-Robot Systems.” In: IEEE Transactions on Robotics (2023). Accepted for Publication. Preprint:

2. Nazish Tahir and Ramviyas Parasuraman. “Analog Twin Framework for Human and AI Supervisory Control and Teleoperation of Robots.” In: IEEE Transactions on Systems, Man, and Cybernetics: Systems 53.5 (2023), pp. 2616–2628. Link:

3. Ehsan Latif and Ramviyas Parasuraman. “DGORL: Distributed Graph Optimization based Relative Localization of Multi-Robot Systems.” In: The 16th International Symposium on Distributed Autonomous Robotic Systems 2022. Nov. 2022. Preprint:

4. Qin Yang and Ramviyas Parasuraman. “How Can Robots Trust Each Other For Better Cooperation? A Relative Needs Entropy Based Robot-Robot Trust Assessment Models.” In: IEEE SMC 2021 International Conference on Systems, Man, and Cybernetics. Oct. 2021. Link:

5. Qin Yang and Ramviyas Parasuraman. “Needs-driven Heterogeneous Multi-Robot Cooperation in Rescue Missions.” In: 2020 IEEE International Symposium on Safety, Security, and Rescue Robotics (SSRR 2020). Nov. 2020. Link:

6. Ramviyas Parasuraman, Jonghoek Kim, Shaocheng Luo, and Byung-Cheol Min. “Multipoint Rendezvous in Multirobot Systems.” In: IEEE
Transactions on Cybernetics 50.1 (2020). Link: 


Courses Regularly Taught:
Articles Featuring Ramviyas Nattanmai Parasuraman

This year, CURO or the Center for Undergraduate Research Opportunities, recognizes one of our own professors from the School of Computing Dr. Ramviyas Parasuraman for his efforts in enhancing experiential learning and research involvement for…

Profs. Ramviyas Parasuraman (PI) and Prashant Doshi (Co-PI) received a new grant from the U.S. Army Research Lab for the project titled "Cooperative Multi-Agent Systems". This is a 3-year grant with a $1.68 million budget.

Congratulations to Dr. Ramviyas Nattanmai Parasuraman and Dr. Prashant Doshi for being funded a project titled “From Toys to Robots for Active Learning in Robotics and AI Education” under the Learning Technologies Grant (LTG)…

My Graduate Students

Ehsan Latif

Doctoral Student

Nazish Tahir

Graduate Research Assistant | PhD…

Qin Yang

Ph.D. Candidate specialize in…

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