Research Arenas

WARA – WASP Autonomous Research Arenas

The science underlying the development of artificial intelligence and autonomous systems targeted in WASP involves a deep theoretical understanding of specific functionalities associated with perception, planning, action and decision support, and the integration of these functionalities into complex cyber-physical or software intensive systems. Additionally, the challenge is increased when targeting collaborative systems of systems that interact with themselves and with humans.

The methodology involves developing the science for artificial intelligence and autonomous systems, instantiating and integrating diverse functionalities into demonstrators, testing these systems in real-life circumstances and feeding the lessons learned back into modification of the scientific agenda. With this perspective, the research arenas play an essential role in research, and consequently, to remain competitive and produce state-of-the-art cutting edge research, the proper infrastructural support and demonstrator facilities are essential to the success of research within WASP.

Purpose and Ambition

WARA will provide research arenas with the aim to support and strengthen the research in WASP. As a collaboration between industry and academia, the WARA research arenas will demonstrate WASP research in industrially relevant environments. Furthermore, they will stimulate new research through their capabilities as well as the emerging use cases and long-term challenges put forward by the partners.

WARA research arenas focus on system-of-systems in joint operation to handle complex scenarios, including  e.g. vehicles and actors, sensors, command- and control functionality at different levels, communication,  cloud services, and machine learning.

Initially, two research arenas are being started:

  • WARA-PS: Public Safety
  • WARA-CAT: Collaborative Autonomous Transport

The initial emphasis is on basic system operation as well as methodologies and environments to enable integration of research contributions. Next steps are to enable relevant use cases of increasing complexity, and eventually include larger demonstration events.

 

Gunnar Bark, WARA Director
gunnar.bark at ericsson.com

Martin Rantzer, WARA-PS
martin.rantzer at sics.se

Fredrik von Corswant, WARA-CAT
fredrik.von.corswant at chalmers.se

Johan Eker, Cloud Architecture and Datacenter Resources
johan.eker at ericsson.com