Conference Towards Autonomous Robotic Systems

TAROS 2012: Advances in Autonomous Robotics pp 424-425

Bioinspired Control of Electro-Active Polymers for Next Generation Soft Robots

  • Emma Wilson
  • Sean R. Anderson
  • Tareq Assaf
  • Martin J. Pearson
  • Peter Walters
  • Tony J. Prescott
  • Chris Melhuish
  • Jonathan Rossiter
  • Tony Pipe
  • Paul Dean
  • John Porrill
Conference paper

DOI: 10.1007/978-3-642-32527-4_42

Volume 7429 of the book series Lecture Notes in Computer Science (LNCS)
Cite this paper as:
Wilson E. et al. (2012) Bioinspired Control of Electro-Active Polymers for Next Generation Soft Robots. In: Herrmann G. et al. (eds) Advances in Autonomous Robotics. TAROS 2012. Lecture Notes in Computer Science, vol 7429. Springer, Berlin, Heidelberg

Abstract

The emerging field of soft robotics offers the prospect of replacing existing hard actuator technologies with new soft-smart materials [7]. Such materials have the potential to form a key component of safer, more compliant and light-weight robots. Soft robots constructed from these advanced materials could be used in a progressively wide range of applications, especially those involving interactions between robots and people in unstructured environments such as homes, hospitals and schools. Electroactive polymer (EAP) technologies such as dielectric elastomer (DEA) actuators and ionic polymer-metal composites (IPMCs) are a class of smart materials that are of particular interest for use in soft robotics [2]. However, despite their great potential, EAP devices present a number of challenges for control. They are, for example, non-linear in behaviour, prone to degradation over time, and fabricated with wide tolerances. In this paper we describe a project that aims to develop novel bioinspired control strategies for EAPs addressing these key challenges.

Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  • Emma Wilson
    • 1
  • Sean R. Anderson
    • 1
  • Tareq Assaf
    • 2
    • 3
  • Martin J. Pearson
    • 2
    • 3
  • Peter Walters
    • 2
    • 3
  • Tony J. Prescott
    • 1
  • Chris Melhuish
    • 2
    • 3
  • Jonathan Rossiter
    • 2
    • 3
  • Tony Pipe
    • 2
    • 3
  • Paul Dean
    • 1
  • John Porrill
    • 1
  1. 1.Sheffield Centre for Robotics (SCENTRO)University of SheffieldUK
  2. 2.Bristol Robotics Laboratory (BRL)Bristol UniversityUK
  3. 3.University of the West of EnglandUK