ELLIIT Joint Autonomous Systems Lab at Linköping and Lund

PI: Erik Frisk (LiU)

Co-PI: Björn Olofsson (LiU and LU)

Research Engineer: Ola Johansson (LiU)

 

This research-infrastructure initiative provides the opportunity of experimental research on planning, control, and perception for cases where there is significant force interaction between a mobile platform and a manipulator or load on an autonomous ground vehicle.

The platform

The overall objective of the joint lab with Lund University is the development of research platforms that features:

A. use of a variety of sensory data such as vision, force, and torque from sensors across the entire robot,
B. force-aware planning and control for safety and efficient sensing,
C. use of machine learning and AI-based reasoning for reliable interpretation of sensory data and autonomous decision making for autonomous systems.

The research platform at Linköping University mirrors a combined autonomous ground vehicle and robot-arm setup already available at Lund University. In addition, sensors for perception and small-scale autonomous vehicles for collaborative scenarios are included. This initiative thus facilitates the exchange of hardware and software knowledge and code between ELLIIT sites, also making the resources available for research to the complete ELLIIT environment. The platform will be integrated with the ELLIIT infrastructure Visionen 2.0.

 

Joint autonomous system lab sensor data

Visualization with Inviwo – an introduction

In relation to the Elliit infrastructure project “ Visualization Support and Consulting Software, and Competence” we are offering an online introduction to our visualization software Inviwo, presented by Martin Falk, LiU.

Date&Time: October 29, 13.00-15.00 via

Zoom (https://uu-se.zoom.us/my/nikitasi).

This 2-hour session will provide an overview of Inviwo. Additional follow-up sessions on getting started with the software are planned, though the details are still being finalized. Updates will be shared after the first session.

If you’re interested, please feel free to join us for this session and reach out with any questions at  (martin.falk@liu.se).

In the meantime you can find more information and a couple tutorials on www.inviwo.org.