ACE-OPS: From Autonomy to Cognitive assistance in Emergency OPerationS


The vision of this collaborative multi-centre project is to safeguard and transform current operation protocols of emergency teams by providing sensing, situation awareness, cognitive assistance and mobile autonomy capabilities working synergistically as a single system. Statistics collected by the Home Office report 346 fire related fatalities in England during 2016/2017, the highest figure since 2011/12. Over a 10-year period in USA, 2775 firefighters died on duty. Where there is a need to save and evacuate people from a burning or flooded building, it is important for the chief incident commander to have increased situational awareness and to be able to effectively coordinate the rescue operation, and for individual responders to have enhanced visibility of surrounding hazards and dangers. To this end, we need to combine UK-based expertise in mobile autonomy and people localisation, with internationally leading expertise on welfare monitoring and cognitive assistance at the Univ. of Virginia, and on robotic vision applied to aerial vehicles at the Queensland University of Technology.

We are determined to address the following key objectives:

  1. Address the lack of autonomous systems capable of handling multiple, and often conflicting, operational needs with limited resources; understand trade-offs between localising the team accurately and mapping the environment thoroughly.
  2. Provide holistic awareness about the incident; moving away from siloed systems of location, welfare and environment sensing, and design an integrated situation awareness system that provides continually evolving insights for decision making in a dynamically changing context.
  3. Explore how and when the output of the situation awareness system should be presented to the response teams; how to best interact with their protocols, presenting the right information at the right time, and providing triggers and suggestions that offer cognitive assistance in complex and often life threatening situations.
  4. Link the autonomy, situation awareness and cognitive assistance capabilities into an integrated system that provides valuable services to emergency teams.

Please visit EPSRC for additional information about this project.



People

University of Oxford - Department of Computer Science






Niki Trigoni
Andrew Markham
Muhamad Risqi Saputra
Vu Tran

University of Oxford - Department of Engineering Science






Jonathan Gammell
Paul Newman
Rowan Border
Kevin Judd


University of Virginia - LinkLab



Jack Stankovic

Queensland University of Technology



Peter Corke

Past Members



Changhao Chen



Activity

March 2020 - Kick Off Meeting

Initial meeting to discuss how ACE-OPS proceed. Each research group presented their previous works.

Presentation from Oxford - CPS Group:
  • Kick off meeting slide! (Niki)
  • Presentation from Chang Hao: slide
  • Presentation from Risqi: slide
Presentation from Oxford Engineering Group: Presentation from University of Virginia:
  • Presentation from Jack: slide

January 2021 - 2nd Progress Meeting

Each research group presented their progress and discussed a plan for collaboration.

Presentation from Oxford - CPS Group:
  • Update from Niki: slide
  • Presentation from Chang Hao: slide
  • Presentation from Risqi: slide
Presentation from Oxford Engineering Group:
  • Presentation from Jonathan and Rowan: slide
Presentation from University of Virginia:
  • Presentation from Jack: slide

March 2022 - 3rd Progress Meeting

Each research group presented their progress and discussed a plan for collaboration.

Presentation from Oxford - CPS Group:
  • Update from Niki
  • Presentation from Qian Xie: slide
  • Presentation from Vu Tran: slide
  • Presentation from Zhuangzhuang Dai: slide
Presentation from Oxford Engineering Group:
  • Presentation from Rowan Border: slide
Presentation from University of Virginia:
  • Presentation from Arif Rahman: slide
  • Presentation from Arif Lahiru: slide


Cyber-physical Systems Group, Department of Computer Science, University of Oxford