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This paper presents results from experiments aimed at creating a framework for designing functionally resilient multi-robot systems. This is achieved by embedding functional information in motion planning algorithms and linking it to the robot’s morphology. Two specific use case scenarios are discussed, one pertaining to multi-arm co-operative tasks and the other involving multi-vehicle tasks. Initial experimental results for each use case scenario are presented. The results indicate that the speed of response in the event of a disaster is dependent on the noise in the environment, processing power and intelligent mapping of functions to morphologies.
|Title of host publication||Robotics and Autonomous Systems Conference (2nd UK-RAS): Proceedings|
|Number of pages||4|
|Publication status||Published - 24 Jan 2019|
|Event||2nd UK-RAS ROBOTICS AND AUTONOMOUS SYSTEMS CONFERENCE, Loughborough, 2019 - Loughborough, United Kingdom|
Duration: 24 Jan 2019 → 24 Jan 2019
|Conference||2nd UK-RAS ROBOTICS AND AUTONOMOUS SYSTEMS CONFERENCE, Loughborough, 2019|
|Period||24/01/2019 → 24/01/2019|
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R1947MEE: Designing functionally resilient multi-robot systems for smart cities and national infrastructure
Behera, A. K.
06/09/2018 → …