A Pressure Controlled Membrane Mechanism for Optimising Haptic Sensing

George P Jenkinson; Andrew T Conn; Antonia Tzemanaki

doi:10.1007/978-3-030-63486-5_31

A Pressure Controlled Membrane Mechanism for Optimising Haptic Sensing

George P Jenkinson^*, Andrew T Conn, Antonia Tzemanaki

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Conference Contribution (Conference Proceeding)

Abstract

Active-passive robotic sensors adjust their stiffness ad-hoc as is appropriate for a task. In situations where the sensor is to operate in an unpredictable environment, or where the sensor is required to work with high sensitivity over a large stiffness range, it is beneficial for the sensor to maintain a high level of sensitivity over its entire operational range. This paper presents the theoretical model for a pneumatically controlled haptic sensor which maintains optimal sensitivity over a large range of force input values.

Original language	English
Title of host publication	Towards Autonomous Robotic Systems
Subtitle of host publication	21st Annual Conference, TAROS 2020, Nottingham, UK, September 16, 2020, Proceedings
Editors	Abdelkhalick Mohammad, Xin Dong, Matteo Russo
Pages	299-303
ISBN (Electronic)	978-3-030-63486-5
DOIs	https://doi.org/10.1007/978-3-030-63486-5_31
Publication status	Published - 3 Dec 2020

Publication series

Name	Lecture Notes in Computer Science
Publisher	Springer
Volume	12228

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ARTEMIS: 8036 Cancer Research UK via Imperial ARTEMIS
Tzemanaki, A., Jenkinson, G. P. & Taiwo, T. A.
1/04/20 → 31/12/21
Project: Research

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Jenkinson, G. P., Conn, A. T., & Tzemanaki, A. (2020). A Pressure Controlled Membrane Mechanism for Optimising Haptic Sensing. In A. Mohammad, X. Dong, & M. Russo (Eds.), Towards Autonomous Robotic Systems : 21st Annual Conference, TAROS 2020, Nottingham, UK, September 16, 2020, Proceedings (pp. 299-303). (Lecture Notes in Computer Science ; Vol. 12228). https://doi.org/10.1007/978-3-030-63486-5_31

Jenkinson, George P ; Conn, Andrew T ; Tzemanaki, Antonia. / A Pressure Controlled Membrane Mechanism for Optimising Haptic Sensing. Towards Autonomous Robotic Systems : 21st Annual Conference, TAROS 2020, Nottingham, UK, September 16, 2020, Proceedings. editor / Abdelkhalick Mohammad ; Xin Dong ; Matteo Russo. 2020. pp. 299-303 (Lecture Notes in Computer Science ).

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title = "A Pressure Controlled Membrane Mechanism for Optimising Haptic Sensing",

abstract = "Active-passive robotic sensors adjust their stiffness ad-hoc as is appropriate for a task. In situations where the sensor is to operate in an unpredictable environment, or where the sensor is required to work with high sensitivity over a large stiffness range, it is beneficial for the sensor to maintain a high level of sensitivity over its entire operational range. This paper presents the theoretical model for a pneumatically controlled haptic sensor which maintains optimal sensitivity over a large range of force input values.",

author = "Jenkinson, {George P} and Conn, {Andrew T} and Antonia Tzemanaki",

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doi = "10.1007/978-3-030-63486-5_31",

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Jenkinson, GP , Conn, AT & Tzemanaki, A 2020, A Pressure Controlled Membrane Mechanism for Optimising Haptic Sensing. in A Mohammad, X Dong & M Russo (eds), Towards Autonomous Robotic Systems : 21st Annual Conference, TAROS 2020, Nottingham, UK, September 16, 2020, Proceedings. Lecture Notes in Computer Science , vol. 12228, pp. 299-303. https://doi.org/10.1007/978-3-030-63486-5_31

A Pressure Controlled Membrane Mechanism for Optimising Haptic Sensing. / Jenkinson, George P ; Conn, Andrew T ; Tzemanaki, Antonia.

Towards Autonomous Robotic Systems : 21st Annual Conference, TAROS 2020, Nottingham, UK, September 16, 2020, Proceedings. ed. / Abdelkhalick Mohammad; Xin Dong; Matteo Russo. 2020. p. 299-303 (Lecture Notes in Computer Science ; Vol. 12228).

Research output: Chapter in Book/Report/Conference proceeding › Conference Contribution (Conference Proceeding)

TY - GEN

T1 - A Pressure Controlled Membrane Mechanism for Optimising Haptic Sensing

AU - Jenkinson, George P

AU - Conn, Andrew T

AU - Tzemanaki, Antonia

PY - 2020/12/3

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N2 - Active-passive robotic sensors adjust their stiffness ad-hoc as is appropriate for a task. In situations where the sensor is to operate in an unpredictable environment, or where the sensor is required to work with high sensitivity over a large stiffness range, it is beneficial for the sensor to maintain a high level of sensitivity over its entire operational range. This paper presents the theoretical model for a pneumatically controlled haptic sensor which maintains optimal sensitivity over a large range of force input values.

AB - Active-passive robotic sensors adjust their stiffness ad-hoc as is appropriate for a task. In situations where the sensor is to operate in an unpredictable environment, or where the sensor is required to work with high sensitivity over a large stiffness range, it is beneficial for the sensor to maintain a high level of sensitivity over its entire operational range. This paper presents the theoretical model for a pneumatically controlled haptic sensor which maintains optimal sensitivity over a large range of force input values.

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SN - 978-3-030-63485-8

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BT - Towards Autonomous Robotic Systems

A2 - Mohammad, Abdelkhalick

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Jenkinson GP , Conn AT , Tzemanaki A. A Pressure Controlled Membrane Mechanism for Optimising Haptic Sensing. In Mohammad A, Dong X, Russo M, editors, Towards Autonomous Robotic Systems : 21st Annual Conference, TAROS 2020, Nottingham, UK, September 16, 2020, Proceedings. 2020. p. 299-303. (Lecture Notes in Computer Science ). https://doi.org/10.1007/978-3-030-63486-5_31

A Pressure Controlled Membrane Mechanism for Optimising Haptic Sensing

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ARTEMIS: 8036 Cancer Research UK via Imperial ARTEMIS

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