The six projects will start off the ten-year WASP research programme. Each project has an annual funding of between three and six million Swedish crowns, and employs researchers from at least two and often three universities. And this is in addition to 26 doctoral students or post-docs, currently being recruited, and subsequently also a number of industry-based doctoral students.
The projects in summary:Automatic transport systems – will revolutionise and streamline the transport of people and goods, improve traffic flow and fuel economy and reduce crashes. Coordinated by Professor Bo Wahlberg, KTH Royal Institute of Technology.
Autonomous clouds – the system will autonomously be able to distribute capacity and other resources that are physically located in the distributed cloud. Coordinated by Professor Karl-Erik Årzén, Lund University.
Interaction and communication with autonomous agents – new systems for advanced decision-making support.
”We will develop technology and methodology that enables people to interact and communicate with the intelligent systems of the future: vehicles, robots etc. We will be able to make decisions based on enormous volumes of information that are presented to us in a way that’s both humane and easy to understand,” explains Anders Ynnerman, professor at LiU and project coordinator.
Datadriven development of autonomous systems of systems
”Software is an enabler for smart, autonomous systems, and the challenge is to develop very large systems that constantly draw conclusions, learn and develop their own knowledge, based on their own actions. We will develop new methods, techniques and tools that will help the software-intensive Swedish industry to handle this challenge,” says Jan Bosch, professor at Chalmers and project coordinator.
Localisation and scalability in autonomous systems – how to efficiently localise and position vehicles, robots, people etc. in large-scale systems. Coordinator: Professor Fredrik Gustafsson, Linköping University.
Interaction, perception, learning and verification in interactive autonomous systems
”Autonomous systems interact with their surroundings and gather information about the world around them by way of various sensors. To make the systems function better and adapt their behaviour to different users, we are going to develop learning methods based on combinations of sensors such as cameras, lasers and tactile sensors. This requires close collaboration between researchers in fields such as computer vision, robotics, control engineering, mathematics and artificial intelligence,” explains Danica Kragic, project coordinator and professor at KTH Royal Institute of Technology.