Joint Workshop with SAFER
17/06/2019
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 agenda is to give an overview of some of the key features and preliminary results of the project.
PLACE: SAFER LINDHOLMSPIREN 3A, DEMOSTUDION
DATE: June 17th 2019 13.00–17:00
The Agenda
| Time | Topic | Partner |
| 13:00 | Welcome address | Safer |
| 13:05 | Dreams4Cars approach and tangible results | Mauro da Lio |
| 13:35 | Agent implementation with focus on application | Mauro da Lio |
| 14:10 | CarMaker and OpenDs test environments – test scenarios ready to try | Ricardo Dona |
| 14:30 | Discussion / Coffee break | |
| 15:00 | The open source simulation environment OpenDS – free simulation environment | Rafael Math |
| 15:20 | Dream generation with Open DS | Henrik Svenson |
| 15:40 | Dream generation with deep neural networks – a look into the future | Alice Plebe |
| 16:00 | Learning from Episodes: reinforcement learning challenges for autonomous cars | Sara Mahmoud |
| 16:20 | Learning from episodic simulations: bootstrapping of sensorimotor abilities | Mauro da Lio |
| 16:40 | Discussion |