Day: Wednesday morning, 16 October
Place: Innovasalen in Labbet and Robotlab
Theme host: Todor Stoyanov, senior lecturer in computer science
The seminar is based on presentations from industrial companies and researchers and includes an interactive segment showcasing various automation technologies. Lectures and seminars are open to all. You can attend a theme in its entirety or in part – choose the sessions that interest you. No registration is needed.
Program
09:00–09:10 – Welcome and program
09:10–09:35 – Matteo Iovino (ABB) – Behavior trees seem terrible; Why do people use them? In his talk, Matteo will introduce his work with Behavior Trees for robot programming and integration into the Wallenberg Autonomous Systems Program Research Arena (WASP-WARA) Robotics.
09:35–09:50 – Urban Wikman (Algoryx) –Simulation at the core of Robot Learning. In this talk Urban will introduce the high-fidelity physics simulator AGX Dynamics and motivate the need for accurate simulations in the context of robot learning and sim2real transfer.
09:50 - 10:15 – Yuxuan Yang (ORU) - Learning to Manipulate Deformable Objects. Yuxuan will discuss the challenges of manipulation for deformable linear objects and present some solutions developed during his PhD.
10:15–11:15 – Lab tour and mingel with "fika".
Place: Robotlab (where the following presentation will also take place).
11:15–11:45 – Martin Magnusson (ORU) – 25 years of Integrating Robotics and AI at Örebro University. In this talk Martin will take a retrospective view on one of the key directions of research at ORU: how can we build smarter robots by integrating AI techniques. We will see some of the early examples of AI brains developed at ORU since the establishment of this research direction in 1997 and take a speculative peek into the future.
11:45–12:00 – Discussion and wrap-up
Speakers