For efficient long-term operation, robots need to adapt to the changes characteristic of natural and human-populated environments. For the next AI Science Café, Tomáš Krajník will present methods which enable robots to build and maintain spatio-temporal models of environmental dynamics and predict the future states of the environment they operate in. He will demonstrate how these capabilities contribute to the lifelong learning of socially intelligent behaviours, improve the efficiency of robot operation and increase their acceptance by the people they work with. With focus on human-centric representations of time and methods which can introduce the notion of dynamics to the environmental models used by state-of-the-art robots.
November 18, 2020
18:00 UTC (19:00 in Prague)
Watch the live stream here (Facebook event).
You can ask Tomáš questions on the day of the event via https://app.sli.do/event/oxnj5d20.