When: Thursday 10th of March, 1pm AEDT
Where: This seminar will be partially presented at the Rose Street Seminar area (J04) and partially online via Zoom, RSVP here.
Speaker: Teresa Vidal Calleja (UTS)
Title: Continuous Models for Sensor Integration, Localisation, Mapping and Planning
Abstract: In this talk I will briefly introduce the UTS Robotics Institute followed by the first part of my talk about our recent work on faithful Euclidean distance field estimation for localisation, mapping and planning using a variation of Gaussian Process Implicit Surfaces. In the second part of the talk, I will discuss our work on analytical preintegration of continuous inertial measurements using linear operators on Gaussian Process Kernels, which are the core of some of our localisation and mapping frameworks such as LiDAR/Inertial (IN2LAAMA) and Event-camera/Inertial (IDOL). I will show the performance of all these approaches in different simulated and real scenarios.
Bio: A/Prof Teresa Vidal Calleja is core researcher of UTS: Robotics Institute and Deputy Head of School (Research) at the School of Mechanical and Mechatronics Engineering of the University of Technology Sydney. Teresa received her BSc in Mechanical Engineering from the National Autonomous University of Mexico, her MSc in Electrical Engineering from CINVESTAV-IPN (Mexico) and her PhD in Automatic Control, Computer Vision and Robotics from the Polytechnic University of Catalonia (Spain). She was postdoctoral fellow at LAAS-CNRS (France) and the Australian Centre for Field Robotics at the University of Sydney. She joined the former UTS:Centre for Autonomous Systems in 2012, where she has progressed her academic career from UTS Chancellor’s Research Fellow to Associate Professor. Teresa has on-going work with world-leading robotics research institutions such as the German Aerospace Center – DLR (Germany) and the Autonomous Systems Lab – ETHZ (Switzerland). Her current industry collaborations are with the manufacturing, meat and livestock, mining and medical devices sectors. Her core research interest is in robotic perception, including multisensory data fusion, active perception, self-localisation and 3D mapping, air/ground robotic cooperation, and autonomous navigation and manipulation.