Marija Popović on Active Sensing with Intelligent Robots: Mapping and Planning | Toronto AIR Seminar скачать в хорошем качестве

Marija Popović on Active Sensing with Intelligent Robots: Mapping and Planning | Toronto AIR Seminar

Abstract: Recent years have seen incredible progress in robotic technologies and related fields. In many application domains, robots are rapidly replacing conventional sensing 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 operating with minimal human intervention. This talk will discuss how research can bridge this gap. The goal is to enable robots to sense, reason, and act autonomously 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 active sensing, focusing on UAV-based agricultural monitoring applications within our Cluster of Excellence “PhenoRob”. Paper: Popović, M., Vidal-Calleja, T., Hitz, G. Chung, J. J., Sa, I., Siegwart, R. and Nieto, J. An informative path planning framework for UAV-based terrain monitoring. Autonomous Robots 44, 889–911 (2020). https://link.springer.com/article/10.... Rückin, J., Jin, L., and Popović, M. Adaptive Informative Path Planning Using Deep Reinforcement Learning for UAV-based Active Sensing. IEEE Int. Conf. on Robotics and Automation (Accepted). (2022). https://arxiv.org/abs/2109.13570 Jin, L., Rückin, J., Kiss, S. H., Vidal-Calleja, T., and Popović, M. Adaptive-Resolution Field Mapping Using Gaussian Process Fusion with Integral Kernels. (2022). https://arxiv.org/abs/2109.14257 Bio: 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. Toronto AIR Seminar: The Toronto AI Robotics Seminar Series is a set of events featuring young robotics and AI experts. The talks are given by local as well as global speakers and organized by the Faculty and Students at University of Toronto’s Department of Computer Science. We welcome students, researchers and robotics enthusiasts from around the world to join us and interact with the Toronto Robotics Community. Find out more at: https://robotics.cs.toronto.edu/toron...