Adjustment of tele-operator learning when provided with different levels of sensor support while driving mobile robots

David Sanders; David Ndzi; Simon Chester; Manish Malik

doi:10.1007/978-3-319-56991-8_41

Adjustment of tele-operator learning when provided with different levels of sensor support while driving mobile robots

David Sanders, David Ndzi, Simon Chester, Manish Malik

Faculty of Technology

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

177 Downloads (Pure)

Abstract

A quantitative and qualitative empirical evaluation is presented to show the effect of providing some sensor support during driving lessons as a tele-operator learns to drive a mobile robot. Different levels of sensor support were provided and the effect on training was measured. Different levels of force feedback were provided through a joystick. Results are presented and conclusions drawn about the way that tele-operators behave during driving tasks.

Original language	English
Title of host publication	Proceedings of SAI Intelligent Systems Conference (IntelliSys) 2016
Editors	Yaxin Bi, Supriya Kapoor, Rahul Bhatia
Place of Publication	United Kingdom
Publisher	Springer
Pages	548-558
Number of pages	11
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_41
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

learning mobile robot sensor
tele-operation ultrasonic

Access to Document

10.1007/978-3-319-56991-8_41

Adjustment_of_tele_operator_learning
This is a pre-copyedited version of a contribution published in Proceedings of SAI Intelligent Systems Conference (IntelliSys) 2016. Yaxin Bi, Supriya Kapoor, and Rahul Bhatia (Eds.). Published by Springer. The definitive authenticated version is available online via https://doi.org/10.1007/978-3-319-56991-8_41.
Accepted author manuscript (Post-print), 404 KB

https://link.springer.com/chapter/10.1007%2F978-3-319-56991-8_41

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
Wheel driven mobile robots
Sanders, D. (PI)
15/10/09 → …
Project: Research

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

Cite this

Sanders, D., Ndzi, D., Chester, S., & Malik, M. (2018). Adjustment of tele-operator learning when provided with different levels of sensor support while driving mobile robots. In Y. Bi, S. Kapoor, & R. Bhatia (Eds.), Proceedings of SAI Intelligent Systems Conference (IntelliSys) 2016 (Vol. 2, pp. 548-558). (Lecture Notes in Networks and Systems; Vol. 16). Springer. https://doi.org/10.1007/978-3-319-56991-8_41

Sanders, David ; Ndzi, David ; Chester, Simon et al. / Adjustment of tele-operator learning when provided with different levels of sensor support while driving mobile robots. Proceedings of SAI Intelligent Systems Conference (IntelliSys) 2016. editor / Yaxin Bi ; Supriya Kapoor ; Rahul Bhatia. Vol. 2 United Kingdom : Springer, 2018. pp. 548-558 (Lecture Notes in Networks and Systems).

@inproceedings{5f266368d3394bda91596769a25c129a,

title = "Adjustment of tele-operator learning when provided with different levels of sensor support while driving mobile robots",

abstract = "A quantitative and qualitative empirical evaluation is presented to show the effect of providing some sensor support during driving lessons as a tele-operator learns to drive a mobile robot. Different levels of sensor support were provided and the effect on training was measured. Different levels of force feedback were provided through a joystick. Results are presented and conclusions drawn about the way that tele-operators behave during driving tasks.",

keywords = "learning mobile robot sensor, tele-operation ultrasonic",

author = "David Sanders and David Ndzi and Simon Chester and Manish Malik",

year = "2018",

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doi = "10.1007/978-3-319-56991-8_41",

language = "English",

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

volume = "2",

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pages = "548--558",

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

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

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

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Sanders, D , Ndzi, D, Chester, S & Malik, M 2018, Adjustment of tele-operator learning when provided with different levels of sensor support while driving mobile robots. 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, United Kingdom, pp. 548-558, SAI Intelligent Systems Conference 2016, London, United Kingdom, 21/09/16. https://doi.org/10.1007/978-3-319-56991-8_41

Adjustment of tele-operator learning when provided with different levels of sensor support while driving mobile robots. / Sanders, David ; Ndzi, David; Chester, Simon et al.
Proceedings of SAI Intelligent Systems Conference (IntelliSys) 2016. ed. / Yaxin Bi; Supriya Kapoor; Rahul Bhatia. Vol. 2 United Kingdom: Springer, 2018. p. 548-558 (Lecture Notes in Networks and Systems; Vol. 16).

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

TY - GEN

T1 - Adjustment of tele-operator learning when provided with different levels of sensor support while driving mobile robots

AU - Sanders, David

AU - Ndzi, David

AU - Chester, Simon

AU - Malik, Manish

PY - 2018/1

Y1 - 2018/1

N2 - A quantitative and qualitative empirical evaluation is presented to show the effect of providing some sensor support during driving lessons as a tele-operator learns to drive a mobile robot. Different levels of sensor support were provided and the effect on training was measured. Different levels of force feedback were provided through a joystick. Results are presented and conclusions drawn about the way that tele-operators behave during driving tasks.

AB - A quantitative and qualitative empirical evaluation is presented to show the effect of providing some sensor support during driving lessons as a tele-operator learns to drive a mobile robot. Different levels of sensor support were provided and the effect on training was measured. Different levels of force feedback were provided through a joystick. Results are presented and conclusions drawn about the way that tele-operators behave during driving tasks.

KW - learning mobile robot sensor

KW - tele-operation ultrasonic

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M3 - Conference contribution

SN - 978-3-319-56990-1

VL - 2

T3 - Lecture Notes in Networks and Systems

SP - 548

EP - 558

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

A2 - Bi, Yaxin

A2 - Kapoor, Supriya

A2 - Bhatia, Rahul

PB - Springer

CY - United Kingdom

T2 - SAI Intelligent Systems Conference 2016

Y2 - 21 September 2016 through 22 September 2016

ER -

Sanders D , Ndzi D, Chester S, Malik M. Adjustment of tele-operator learning when provided with different levels of sensor support while driving mobile robots. In Bi Y, Kapoor S, Bhatia R, editors, Proceedings of SAI Intelligent Systems Conference (IntelliSys) 2016. Vol. 2. United Kingdom: Springer. 2018. p. 548-558. (Lecture Notes in Networks and Systems). Epub 2017 Aug 23. doi: 10.1007/978-3-319-56991-8_41

Adjustment of tele-operator learning when provided with different levels of sensor support while driving mobile robots

Abstract

Publication series

Conference

Keywords

Access to Document

Fingerprint

Projects

Vehicle Driving

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

Wheel driven mobile robots

Activities

SAI Intelligent Systems Conference 2016

Cite this