EI Seminar - Maurice Fallon - Multi-Sensor Robot Navigation and Subterranean Exploration

TITLE: Multi-Sensor Robot Navigation and Subterranean Exploration
ABSTRACT: In this talk I will overview the work of my research group, Dynamic Robot Systems Group. I will focus on multi-sensor state estimation and 3D mapping to enable robots to navigate and explore dirty, dark and dusky environments - with an emphasis on underground exploration with quadrupeds. This multitude of sensor signals need to be fused efficiently and in real-time to enable autonomy. Much of the work will be presented in the context of the DARPA SubT Challenge (Team Cerberus) and the THING EU project. I will also describe our work on trajectory optimization for dynamic motion planning and the use of learning to bootstrap replanning.

BIO: Maurice Fallon is an Associate Professor and Royal Society University Research Fellow at University of Oxford. His research is focused on probabilistic methods for localization and mapping. He has also made research contributions to state estimation for legged robots and is interested in dynamic motion planning and control. His PhD was from the University of Cambridge. He worked as a PostDoc in Prof. John Leonard’s Marine Robotics Group in MIT from 2008 before leading the perception part of MIT’s entry in the DARPA Robotics Challenge. He has worked in domains as diverse as marine robots detecting mines, humanoid robotics and mapping radiation in nuclear facilities.

Видео EI Seminar - Maurice Fallon - Multi-Sensor Robot Navigation and Subterranean Exploration канала MIT Embodied Intelligence