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Paper ThP106.3

Mokhtar, Maizura (University of Central Lancashire), Howe, Joe Mark (University of Central Lancashire)

Increasing Endurance of an Autonomous Robot Using an Immune-Inspired Framework

Scheduled for presentation during the Regular Sessions "Mechanism Design of Mobile Robots III" (ThP106), Thursday, May 12, 2011, 14:10−14:25, Room 5A

2011 IEEE International Conference on Robotics and Automation, May 9-13, 2011, Shanghai International Conference Center, Shanghai, China

This information is tentative and subject to change. Compiled on August 19, 2019

Keywords Energy and Environment-aware Automation

Abstract

This paper describes the implementation of an online immune-inspired framework to help increase endurance of an autonomous robot. Endurance is defined as the ability of the robot to exert itself for a long period of time. The immune-inspired framework provides such capability by monitoring the behavior of the robot to ensure continuous and safe behavior. The immune-inspired framework combines innate and adaptive immune inspired algorithms. Innate uses a dendritic cell based innate immune algorithm, and adaptive uses an instance based B-cell approach. Results presented in this paper shows that when the robot is implemented with the immune-inspired framework, health and survivability of a robot is improved, therefore increasing its endurance.

 

 

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