Materials Map

Discover the materials research landscape. Find experts, partners, networks.

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The Materials Map is an open tool for improving networking and interdisciplinary exchange within materials research. It enables cross-database search for cooperation and network partners and discovering of the research landscape.

The dashboard provides detailed information about the selected scientist, e.g. publications. The dashboard can be filtered and shows the relationship to co-authors in different diagrams. In addition, a link is provided to find contact information.

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Materials Map under construction

The Materials Map is still under development. In its current state, it is only based on one single data source and, thus, incomplete and contains duplicates. We are working on incorporating new open data sources like ORCID to improve the quality and the timeliness of our data. We will update Materials Map as soon as possible and kindly ask for your patience.

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in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (1/1 displayed)

  • 2019A soft matter computer for soft robots77citations

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Chart of shared publication
Rossiter, Jonathan M.
1 / 34 shared
Garrad, Martin S.
1 / 6 shared
Hauser, Helmut
1 / 2 shared
Conn, Andrew T.
1 / 10 shared
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2019

Co-Authors (by relevance)

  • Rossiter, Jonathan M.
  • Garrad, Martin S.
  • Hauser, Helmut
  • Conn, Andrew T.
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article

A soft matter computer for soft robots

  • Rossiter, Jonathan M.
  • Garrad, Martin S.
  • Hauser, Helmut
  • Soter, G.
  • Conn, Andrew T.
Abstract

Despite the growing interest in soft robotics, little attention has been paid to the development of soft matter computational mechanisms. Embedding computation directly into soft materials is not only necessary for the next generation of fully soft robots, but also for smart materials to move beyond stimulus-response relationships and towards the intelligent behaviours seen in biological systems. This article describes the Soft Matter Computer (SMC), a low-cost and easily fabricated computational mechanism for soft robots. The building block of an SMCis a conductive fluid receptor (CFR), which maps a fluidic input signal to an electrical output signal via electrodes embedded into a soft tube. SMCs can performboth analogue and digital computation. The potential of the SMC is demonstrated by integrating them into three soft robots: (i), a Softworm robot is controlled by an SMCwhich generates the control signals necessary for three distinct gaits; (ii), a soft gripper is given a set of reflexes which can be programmed by adjusting the parameters of the CFR; and (iii), a two degree of freedom bending actuator is switched between three distinct behaviours by varying only one input parameter. TheSoft Matter Computer is a low-cost way to integrate computation directly into soft materials, and an important step towards entirely soft autonomous robots.

Topics
  • impedance spectroscopy