Collaborative Robotic Systems
SYMBIKBOT: Robot-Assisted Hastily Formed Knowledge Networks
[Knowledge Processing Lab, UASTechnologies Lab]
SYMBIKBOT is an SSF-funded project with a duration of 5 years from 2016-05-01 to 2021-06-30.It is a joint project with three principle investigators: AIICS-IDA-LiU, together with MIT Norrköping-LiU, and the Image Processing group at ISY-LiU.
Contact Person: Patrick Doherty
The field of Disaster or Crisis Informatics studies the use of information technology in the preparation, mitigation, response and recovery phases of disasters or crises. The SSF-funded SymbiKBot project should be viewed in this context, but by adding artificial intelligence technologies to the mix.
The project focuses on the development of knowledge-enhanced robotic and software agents that collaborate together with humans in teams during disaster or crisis situations. The term Hastily Formed Networks (HFNs) was coined to describe the impromptu networks that are created to provide crisis communications. This project broadens the idea by not only focusing on crisis communications, but also knowledge acquisition and use in the form of Hastily Formed Knowledge Networks (HFKNs). These knowledge networks may be viewed as distributed information structures with coupling to cloud technologies that provide both local and common global situation awareness that is dynamically generated and leveraged by both robots, software agents and humans in emergency rescue tasks. Collaboration among agents is acheived through the use of a Delegation Framework that is developed in parallel with HFKNs.
The project also includes research in visualization and interfacing technogies for flexible Human-Machine Interaction in addition to the development of image processing techniques for activity recognition and tracking used with unmanned aerial vehicles. Additionally, on-line machine learning techniques are developed for human aware UAV behaviors as these robots symbiotically interact with humans.
Page responsible: Patrick Doherty
Last updated: 2018-12-13