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 joint vision of LU and LiU is the development of software for autonomous robotic systems (ARS) that are able to perform a predefined task through goal-directed sensing, thinking, learning and acting. This includes the ability to:
- use a variety of sensory data such as vision, force and torque from sensors across the entire robot,
- use machine learning and AI-based reasoning for reliable interpretation of the sensory data and autonomous decision making for
- controlling safely, with suitable forces, its actuators.
A key focus of LU is to maintain and support the software for enabling the ARS.
Lund University and Linköping University collaborate with the same robot platform to allow easy replication of results for indoor environments. In addition, Lund University has available a Boston Dynamics SPOT robot with LiDAR and arm for experimentation in outdoor environments as well.
This initiative 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.