Wallenberg Autonomous Systems Program Launches First Research Projects

The Wallenberg Autonomous Systems Program launched sevenchallenging projects, approved at the WASP Board meeting on Tuesday 2015-10-13. Each project is financed with around 3-6 MSEK yearly, with industrial PhD students to be added over the next few months. This initial cluster of projects covers areas that are scientifically important, of high relevance, and which form a broad but well-connected research palette. On the software and computation side, one project will develop methodology for advanced industrial software development, and one project concerns the rapidly emerging area of autonomy in cloud infrastructures. Two projects consider the key aspect of cooperation between autonomous systems and humans, where one project tackles perception and robotics, and the other deals with new concepts in human-machine interaction such as cognitive digital companions. One project deals with the fundamental questions of localization and scalability, developing new techniques that are expected to be essential in many autonomous systems. The remaining project is aiming at the future automated transport systems.

The initial seven WASP projects are described in more detail below.

Software Engineering for Smart Systems

Smart and autonomous systems are dependent on software to realize their functionality, but the functionality of these systems must be able to evolve much more rapidly than is possible with classical software engineering approaches. This project will study data-driven methods for continuously evolving the functionality and performance of smart systems.


  • Jan Bosch (project coordinator) Chalmers
  • Patrizio Pelliccione, Chalmers
  • Per Runeson, Lund University

Link to further information: Software Engineering for Smart Systems

Autonomous Cloud

This project will provide autonomy and predictability in the distributed cloud by developing dynamic, control-based resource management methods for deciding how much and what type of resources to allocate, and when and where to deploy them.


  • Karl-Erik Årzén (project coordinator)/Maria Kihl, Lund University
  • Erik Elmroth, Umeå University

Link to further information: The Autonomous Cloud

Integrating Perception, Learning and Verification in Interactive Autonomous Systems

The project will study perception methods based on fusion of multi-modal sensory information in combination with learning, and formal verification of autonomous systems.

  • Danica Kragic (project coordinator), KTH
  • Michael Felsberg, Linköping University
  • Alexandre Proutiere, KTH
  • Kalle Åström, Lund University

Link to further information: Integrating Perception

Interaction and Communication with Autonomous Agents in Sensor-Rich Environments

This project will develop the next generation of decision support systems, so called cognitive companions, designed to adaptively reduce the cognitive load caused by the large and rapid information flows while ensuring mission-critical decision timescales.


  • Anders Ynnerman (project coordinator), Linköping University
  • Patrick Doherty, Linköping University
  • Morten Fjeld, Chalmers
  • Görel Hedin, Lund University

Link to further information: Interaction and Communication

Smart Localization Systems

Accurate localization anywhere and anytime – of vehicles, robots, humans, and gadgets in both the absolute and relative sense – is a fundamental Component in achieving high level of autonomy. The research challenge is to provide scalable, available and reliable smart localization technology needed to enable future intelligent and autonomous systems.


  • Fredrik Gustafsson, (project coordinator), Linköping University
  • Henk Wymeersch, Chalmers
  • Peter Händel, KTH
  • Joakim Jaldén, KTH
  • Patric Jensfelt, KTH
  • Isaac Skog, KTH
  • Gustaf Hendeby, Linköping University
  • Bo Bernhardsson, Lund University
  • Fredrik Tufvesson, Lund University
  • Kalle Åström, Lund University

Link to further information: Smart Localization System

Automated Transport Systems

Automated transport systems will revolutionize the efficiency of transportation of people and goods, and at the same time dramatically reduce environmental impact. This project concerns optimization of the overall transport performance by taking advantage of new possibilities for efficient communication, accurate position estimation, and smart decision systems.


  • Bo Wahlberg (project coordinator), KTH
  • Karl Henrik Johansson, KTH
  • Lars Nielsen, Linköping University
  • Jonas Sjöberg, Chalmers
  • Fredrik Tufvesson, Lund University
  • Henk Wymeersch, Chalmers

Link to further information: Automated Transport Systems

Large Scale Optimization and Control

The project will develop basic theory and methodology for distributed optimization, learning and decision-making in large scale dynamic systems. This is essential to efficiently and reliably operate infrastructure networks for transportation, communications, data, electricity, heat and water, as well as smart cities and health care. The main research challenges are in the intersection between optimization, control, statistics, machine learning and economics.


  • Anders Rantzer (project coordinator), Lund University
  • Anders Hansson, Linköping University
  • Mikael Johansson, KTH
  • Bengt Lennartsson, Chalmers

Link to further information: Large Scale Optimization