Model Based On-Line Energy Prediction System for Semi-Autonomous Mobile Robots

Nattanmai Parasuraman, Ramviyas and Pagala, Prithvi Sekha and Ferre Pérez, Manuel (2014). Model Based On-Line Energy Prediction System for Semi-Autonomous Mobile Robots. In: "ISMS 2014. Fifth International Conference on Intelligent Systems, Modelling and Simulation", 27 – 29 January 2014, Langkawi, Malaysia.

Description

Title: Model Based On-Line Energy Prediction System for Semi-Autonomous Mobile Robots
Author/s:
  • Nattanmai Parasuraman, Ramviyas
  • Pagala, Prithvi Sekha
  • Ferre Pérez, Manuel
Item Type: Presentation at Congress or Conference (Article)
Event Title: ISMS 2014. Fifth International Conference on Intelligent Systems, Modelling and Simulation
Event Dates: 27 – 29 January 2014
Event Location: Langkawi, Malaysia
Title of Book: ISMS 2014. Fifth International Conference on Intelligent Systems, Modelling and Simulation
Date: 2014
Subjects:
Freetext Keywords: Mobile robots, Energy management, Energy optimization, Energy prediction, Energy consumption models
Faculty: E.T.S.I. Industriales (UPM)
Department: Otro
Creative Commons Licenses: Recognition - No derivative works - Non commercial

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Abstract

Maximizing energy autonomy is a consistent challenge when deploying mobile robots in ionizing radiation or other hazardous environments. Having a reliable robot system is essential for successful execution of missions and to avoid manual recovery of the robots in environments that are harmful to human beings. For deployment of robots missions at short notice, the ability to know beforehand the energy required for performing the task is essential. This paper presents a on-line method for predicting energy requirements based on the pre-determined power models for a mobile robot. A small mobile robot, Khepera III is used for the experimental study and the results are promising with high prediction accuracy. The applications of the energy prediction models in energy optimization and simulations are also discussed along with examples of significant energy savings.

More information

Item ID: 30873
DC Identifier: http://oa.upm.es/30873/
OAI Identifier: oai:oa.upm.es:30873
Official URL: http://isms2014.info/
Deposited by: Memoria Investigacion
Deposited on: 31 Oct 2014 18:30
Last Modified: 23 Feb 2017 14:05
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