Rule-based system to assist a tele-operator with driving a mobile robot

David Sanders; Heather Sanders; Alexander Gegov; David Ndzi

doi:10.1007/978-3-319-56991-8_44

Rule-based system to assist a tele-operator with driving a mobile robot

David Sanders, Heather Sanders, Alexander Gegov, David Ndzi

Peter Symonds College

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

163 Downloads (Pure)

Abstract

Simple real time AI techniques are presented that support tele-operated mobile robot operators when they are steering. They permit a tele-operator to be included in the steering as much as possible, while offering help when required to avoid obstacles and to reach their target destination. The direction to a destination (via point) becomes an extra input along with the usual inputs from a joystick and an obstacle avoidance sensor system. A recommended direction is suggested and that is mixed with joystick position and angle. A rule-based system provides a suggested angle to turn the robot and that is mixed with input from a joystick to help a tele-operator to steer their mobile robot towards a destination.

Original language	English
Title of host publication	Proceedings of SAI Intelligent Systems Conference (IntelliSys) 2016
Editors	Yaxin Bi, Supriya Kapoor, Rahul Bhatia
Publisher	Springer
Pages	599-615
Number of pages	17
Volume	2
ISBN (Electronic)	978-3-319-56991-8
ISBN (Print)	978-3-319-56990-1
DOIs	https://doi.org/10.1007/978-3-319-56991-8_44
Publication status	Published - Jan 2018
Event	SAI Intelligent Systems Conference 2016 - London, United Kingdom Duration: 21 Sept 2016 → 22 Sept 2016 http://saiconference.com/IntelliSys2016

Publication series

Name	Lecture Notes in Networks and Systems
Publisher	Springer
Volume	16
ISSN (Print)	2367-3370

Conference

Conference	SAI Intelligent Systems Conference 2016
Abbreviated title	IntelliSys 2016
Country/Territory	United Kingdom
City	London
Period	21/09/16 → 22/09/16
Internet address	http://saiconference.com/IntelliSys2016

Keywords

Tele-operation
Collision avoidance
Rule-based
Mobile robot
Assist
AI
Steering

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1007/978-3-319-56991-8_44

Rule based system to assist with control of mobile robot
This is a pre-copyedited version of a contribution published in Proceedings of SAI Intelligent Systems Conference (IntelliSys) 2016. Yaxin BiSupriya KapoorRahul Bhatia (Eds.), published by Springer. The definitive authenticated version is available online via https://doi.org/10.1007/978-3-319-56991-8_44.
Accepted author manuscript (Post-print), 862 KB

Vehicle Driving
Sanders, D. (PI), Tewkesbury, G. (CoI), Chiverton, J. (CoI) & Vuksanovic, B. (Team Member)
13/03/17 → …
Project: Research
Ways of assisting with tele-operation (Third research Project)
Sanders, D. (PI), Chiverton, J. (CoI) & Vuksanovic, B. (CoI)
14/04/16 → …
Project: Research

SAI Intelligent Systems Conference 2016
Sanders, D. (Presented paper)
21 Sept 2016
Activity: Participating in or organising an event types › Participation in conference

Cite this

@inproceedings{2171026e9a33402b934d73108243a103,

title = "Rule-based system to assist a tele-operator with driving a mobile robot",

abstract = "Simple real time AI techniques are presented that support tele-operated mobile robot operators when they are steering. They permit a tele-operator to be included in the steering as much as possible, while offering help when required to avoid obstacles and to reach their target destination. The direction to a destination (via point) becomes an extra input along with the usual inputs from a joystick and an obstacle avoidance sensor system. A recommended direction is suggested and that is mixed with joystick position and angle. A rule-based system provides a suggested angle to turn the robot and that is mixed with input from a joystick to help a tele-operator to steer their mobile robot towards a destination.",

keywords = "Tele-operation , Collision avoidance , Rule-based, Mobile robot, Assist, AI, Steering",

author = "David Sanders and Heather Sanders and Alexander Gegov and David Ndzi",

year = "2018",

month = jan,

doi = "10.1007/978-3-319-56991-8\_44",

language = "English",

isbn = "978-3-319-56990-1",

volume = "2",

series = "Lecture Notes in Networks and Systems",

publisher = "Springer",

pages = "599--615",

editor = "Yaxin Bi and Supriya Kapoor and Rahul Bhatia",

booktitle = "Proceedings of SAI Intelligent Systems Conference (IntelliSys) 2016",

address = "Netherlands",

note = "SAI Intelligent Systems Conference 2016, IntelliSys 2016 ; Conference date: 21-09-2016 Through 22-09-2016",

url = "http://saiconference.com/IntelliSys2016",

}

Sanders, D, Sanders, H, Gegov, A & Ndzi, D 2018, Rule-based system to assist a tele-operator with driving a mobile robot. in Y Bi, S Kapoor & R Bhatia (eds), Proceedings of SAI Intelligent Systems Conference (IntelliSys) 2016. vol. 2, Lecture Notes in Networks and Systems, vol. 16, Springer, pp. 599-615, SAI Intelligent Systems Conference 2016, London, United Kingdom, 21/09/16. https://doi.org/10.1007/978-3-319-56991-8_44

Rule-based system to assist a tele-operator with driving a mobile robot. / Sanders, David; Sanders, Heather; Gegov, Alexander et al.
Proceedings of SAI Intelligent Systems Conference (IntelliSys) 2016. ed. / Yaxin Bi; Supriya Kapoor; Rahul Bhatia. Vol. 2 Springer, 2018. p. 599-615 (Lecture Notes in Networks and Systems; Vol. 16).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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AU - Sanders, David

AU - Sanders, Heather

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AU - Ndzi, David

PY - 2018/1

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N2 - Simple real time AI techniques are presented that support tele-operated mobile robot operators when they are steering. They permit a tele-operator to be included in the steering as much as possible, while offering help when required to avoid obstacles and to reach their target destination. The direction to a destination (via point) becomes an extra input along with the usual inputs from a joystick and an obstacle avoidance sensor system. A recommended direction is suggested and that is mixed with joystick position and angle. A rule-based system provides a suggested angle to turn the robot and that is mixed with input from a joystick to help a tele-operator to steer their mobile robot towards a destination.

AB - Simple real time AI techniques are presented that support tele-operated mobile robot operators when they are steering. They permit a tele-operator to be included in the steering as much as possible, while offering help when required to avoid obstacles and to reach their target destination. The direction to a destination (via point) becomes an extra input along with the usual inputs from a joystick and an obstacle avoidance sensor system. A recommended direction is suggested and that is mixed with joystick position and angle. A rule-based system provides a suggested angle to turn the robot and that is mixed with input from a joystick to help a tele-operator to steer their mobile robot towards a destination.

KW - Tele-operation

KW - Collision avoidance

KW - Rule-based

KW - Mobile robot

KW - Assist

KW - AI

KW - Steering

U2 - 10.1007/978-3-319-56991-8_44

DO - 10.1007/978-3-319-56991-8_44

M3 - Conference contribution

SN - 978-3-319-56990-1

VL - 2

T3 - Lecture Notes in Networks and Systems

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EP - 615

BT - Proceedings of SAI Intelligent Systems Conference (IntelliSys) 2016

A2 - Bi, Yaxin

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PB - Springer

T2 - SAI Intelligent Systems Conference 2016

Y2 - 21 September 2016 through 22 September 2016

ER -

Rule-based system to assist a tele-operator with driving a mobile robot

Abstract

Publication series

Conference

Keywords

UN SDGs

Access to Document

Fingerprint

Projects

Vehicle Driving

Ways of assisting with tele-operation (Third research Project)

Activities

SAI Intelligent Systems Conference 2016

Cite this