Marija Popović will present a webinar, "Intelligent Decision-Making and Autonomy for Agricultural Robots," on Monday, August 30, 2021 at 15:00 CEST (UTC +2). See the conversion to other time zones using this time zone announcement.
Please register for the webinar; we use the Zoom webinar provider. The webinar is free and open to the public.
Marija is a Junior Group Leader at the University of Bonn, Germany.
Abstract.
Recent years have seen incredible progress in robotic technologies and related fields. In agriculture, robots are rapidly replacing conventional farming methods at higher levels of precision, safety, and time- and cost-efficiency. However, there is a need for new robotic algorithms to fully exploit their potential as intelligent devices in modern smart farming workflows with minimal human intervention. This talk will discuss how new research can bridge this gap; enabling robots to sense, reason, and act by themselves to optimise the use of their limited computational resources and battery life. I will present our recent developments in informative planning and environmental mapping for autonomous decision-making, focusing on the application of multi-robot (aerial-ground) weeding missions, and outline outstanding challenges for future work.
Supplementary Materials.
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Popović, M., Vidal-Calleja, T., Hitz, G. et al. An informative path planning framework for UAV-based terrain monitoring. Autonomous Robots 44, 889–911 (2020). link
Presenter Biography.
Marija Popović is a Junior Research Group Leader at the University of Bonn and Cluster of Excellence "PhenoRob". Before starting in Bonn, she was a postdoctoral research associate at the Smart Robotics Lab at Imperial College London, UK. She received her Ph.D. titled "Environmental Mapping and Informative Path Planning for UAV-based Active Sensing" from the Autonomous Systems Lab at ETH Zurich, Switzerland (2019) and did her Master in Engineering in Integrated Mechanical & Electrical Engineering at the University of Bath, UK (2015). Her research centres around developing algorithms that enable intelligent robotic decision-making, including in planning/coordination, environmental mapping, and computer vision.