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Autonomous adaptive marine sampling

Dates:24 October 2023
Times:11:00 - 12:00
What is it:Seminar
Organiser:Department of Electrical and Electronic Engineering
Who is it for:University staff, Current University students
Speaker:Prathyush P. Menon
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  • Department of Electrical and Electronic Engineering, Events
  • Department of Electrical and Electronic Engineering, Research Areas of expertise, Control systems
  • Past-seminars

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  • In category "Seminar"
  • In group "(EEE) Control and robotics"
  • In group "(EEE) Seminar series"
  • By Department of Electrical and Electronic Engineering

Welcome to this EEE Control & Robotics seminar Robotic vehicles have proven effective for studying environmental features and surveying areas. Some of their characteristics are relatively low deployment and operational costs, allowing long-term monitoring of the phenomena of interest with limited direct human intervention and high endurance. Although onboard computation capabilities are available, vehicles are operated pre-programmed in several practical applications. While such preplanned sampling strategies allow deep coverage of the considered area, they are often associated with high costs in terms of vehicle operation and mission time. Yet, they do not necessarily gather valuable information as desired. This talk discusses the navigational improvements yielding certain autonomous behaviours, mission plans and their demonstrations.

Speaker

Prathyush P. Menon

Organisation: University of Exeter

Biography: Prathyush P. Menon is associated with the Department of Engineering, University of Exeter, Exeter, U.K. He leads the Cooperative Robotics and Autonomous NEtworks research lab and is deputy director of the Center for Future Clean Mobility. He is also a visiting professor at the Indian Institute of Science, Bangalore. He received PhD in control engineering from the Department of Engineering, University of Leicester, U.K., in 2007. Prathyush has 15 years of academic experience. He also had five years of industrial experience in avionics and flight control integration and validation. His research interests include control, autonomy, graph theoretic multi-agent systems, robust nonlinear estimation, optimisation and simulation-based robustness analysis and electrification towards net-zero technology.

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