Open Deep Learning Toolkit for Robotics (OpenDR) GrantAgreement (GA) No: 871449

The aim of OpenDR is to develop a modular, open and non-proprietary deep learning toolkit for robotics. We will provide a set of software functions, packages and utilities to help roboticists develop and test robotic applications that incorporate deep learning. OpenDR will enable linking robotics applications to software libraries such as tensorflow and the ROS operating environment. We focus on the AI and cognition core technology in order to give robotic systems the ability to interact with people and environments by means of deep-learning methods for active perception, cognition and decisions making. OpenDR will enlarge the range of robotics applications making use of deep learning, which will be demonstrated in the applications areas of healthcare, agri-food and agile production.

Weitere Informationen: http://opendr.eu/
Ansprechpartner: Dr. Evelyn Rusdea
Tel: 67660
Email: rusdea@informatik.uni-freiburg.de

Projektbeginn: 2020
Projektende: 2022

Burgard W, Valada A

Albert-Ludwigs-Universität Freiburg
Robot Learning
Juniorprofessor Dr. Abhinav Valada
Georges-Köhler-Allee 080
79110 Freiburg

Telefon: +49-761-203-8025
Email: valada@cs.uni-freiburg.de
https://rl.uni-freiburg.de

• Honerkamp D

ALU-FR, RWTH, KULeuven, UNIROMA1, ALGO, ICOMOS-IT

• European Union Horizon 2020 program, call H2020-ICT-2018-2020, EU