Enabling functional resilience in autonomous multi-arm and multi-vehicle cooperative tasks

Amar Kumar Behera

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

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. 
Original languageEnglish
Title of host publicationRobotics and Autonomous Systems Conference (2nd UK-RAS): Proceedings
Pages28-31
Number of pages4
Publication statusPublished - 24 Jan 2019
Event2nd UK-RAS ROBOTICS AND AUTONOMOUS SYSTEMS CONFERENCE, Loughborough, 2019 - Loughborough, United Kingdom
Duration: 24 Jan 201924 Jan 2019

Conference

Conference2nd UK-RAS ROBOTICS AND AUTONOMOUS SYSTEMS CONFERENCE, Loughborough, 2019
CountryUnited Kingdom
CityLoughborough
Period24/01/201924/01/2019

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    Behera, A. K. (2019). Enabling functional resilience in autonomous multi-arm and multi-vehicle cooperative tasks. In Robotics and Autonomous Systems Conference (2nd UK-RAS): Proceedings (pp. 28-31)