Workshop: Dreams4Cars
The H2020 Dreams4Cars research project (a Research and Innovation Action funded under the EU Robotics banner) deals with the architecture, and the abilities, of agents that should be capable of learning reliable driving and natural human-robot interactions.
Dreams4Cars (D4C) should not be seen as yet another project for developing automated driving. Rather, it is a robotics initiative to develop cognitive abilities that may in turn be used for the development of automated driving. The goals of D4C are 1) automatic discovery of significant situations and 2) automatic learning from those situations. In other words: self-discovery and self-optimisation of behaviour at all levels of sensorimotor control, and including rare events. It also tackles the issue of verifiability of agent learned behaviours (by inspection of the agent’s interpretable motor cortex).
The purpose of the workshop is to give an overview of some of the key features and preliminary results of the project.
AGENDA
13:00 Welcome address
13:10 Dreams4Cars approach and tangible results Prof. Mauro da Lio, University of Trento
13:35 Agent implementation with focus on application Prof. Mauro da Lio, University of Trento
14:10 CarMaker and OpenDs test environments – test scenarios ready to try Ricardo Dona, PhD-student University of Trento
14:30 Discussion / Coffee break
15:00 The open source simulation environment OpenDS – free simulation environment Rafael Math, Research Engineer, (German Research Center for Artificial Intelligence (DFKI)
15:20 Dream generation with Open DS Dr. Henrik Svensson, University of Skövde
15:40 Dream generation with deep neural networks – a look into the future Alice Plebe, PhD-student University of Trento
16:00 Learning from Episodes: reinforcement learning challenges for autonomous cars Sara Mahmoud, PhD-student University of Skövde
16:20 Learning from episodic simulations: bootstrapping of sensorimotor abilities Mauro da Lio
16:40 Discussion
17:00 End of workshop
Please note that this workshop is for pre-registred SAFER partners only.
