CIR & CIS: Relative Localization in Multi-Robot and Wireless Networked Systems
#Multi-Robot
#Wireless
#Network
#Systems
Presentation: Relative Localization in Multi-Robot and Wireless Networked Systems
Abstract: Dr Parasuraman will present his recent work in the research of relative localization in mobile robots and sensors, where the robots collaborate their measurements and apply Bayesian sampling and graph-theoretic approaches to perform relative localization and exploration in a distributed manner. The novelty of these approaches lies in their ubiquity of relying only on minimal sensor data, making them applicable to SWAP-constrained devices like IoT nodes and swarm robots. Dr Parasuraman will also present some extensions of these works to an autonomous multi-robot exploration domain by presenting a distributed earning technique using ad-hoc map merging and significantly reducing communication and computation costs.
Date and Time
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- Date: 18 Sep 2024
- Time: 06:00 PM to 08:00 PM
- All times are (UTC-06:00) Mountain Time (US & Canada)
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- Starts 01 September 2024 12:00 AM
- Ends 18 September 2024 08:00 PM
- All times are (UTC-06:00) Mountain Time (US & Canada)
- No Admission Charge
Speakers
Ramviyas Parasuraman of University of Georgia
Topic:
Relative Localization in Multi-Robot and Wireless Networked Systems
Presentation: Relative Localization in Multi-Robot and Wireless Networked Systems
Abstract: Dr Parasuraman will present his recent work in the research of relative localization in mobile robots and sensors, where the robots collaborate their measurements and apply Bayesian sampling and graph-theoretic approaches to perform relative localization and exploration in a distributed manner. The novelty of these approaches lies in their ubiquity of relying only on minimal sensor data, making them applicable to SWAP-constrained devices like IoT nodes and swarm robots. Dr Parasuraman will also present some extensions of these works to an autonomous multi-robot exploration domain by presenting a distributed earning technique using ad-hoc map merging and significantly reducing communication and computation costs.
Biography:
Dr Ramviyas Nattanmai Parasuraman achieved his Ph.D. (Robotics and Automation) from Universidad Politecnica de Madrid, Spain. Dr Parasuraman conducted his doctoral research at CERN (European Organization for Nuclear Research), Switzerland, and obtained his Dr. Parasuraman is a recipient of the prestigious Marie Sklodowska Curie ESR Fellowship. Dr Parasuraman had held postdoctoral appointments at Purdue University, USA, and KTH Royal Institute of Technology, Sweden. Currently, Dr Parasuraman is an Assistant Professor in the School of Computing at the University of Georgia, where he directs the Heterogeneous Robotics Research Lab. Within the University of Georgia Dr Parasuraman conducts cutting-edge research in heterogeneous robotics and multi-robot systems, collective swarm intelligence, rescue robotics, and human–robot interfaces. Dr Parasuraman’s work has appeared in well-known publication venues in Robotics, such as IROS, T-RO, RA-L, MRS, DARS, etc.
Address:United States
