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Bodily aware soft robots: integration of proprioceptive and exteroceptive sensors

Research output: Contribution to conferencePoster

Original languageEnglish
DateAccepted/In press - 1 Sep 2017
DateUnpublished (current) - 15 Nov 2017
EventConference on Robot Learning 2017 - Mountain View, United States
Duration: 13 Nov 201715 Nov 2017
Conference number: 1st


ConferenceConference on Robot Learning 2017
Abbreviated titleCoRL 2017
CountryUnited States
CityMountain View


Being aware of our body has great importance in our everyday life. This is the reason why we know how to move in a dark room or to grasp a complex object. These skills are important for robots as well, however, robotic bodily awareness is still not solved. In this paper we present a novel method to implement bodily awareness into soft robots by the integration of exteroceptive and proprioceptive sensors. We use a combination of a stacked convolutional autoencoder and a recurrent neural network to map internal sensory signals to visual information. As a result, the simulated soft robot can learn to imagine its motion even when its visual sensor is not available.

    Research areas

  • soft robots, bodily awareness, proprioception

    Structured keywords

  • Tactile Action Perception


Conference on Robot Learning 2017

Abbreviated titleCoRL 2017
Conference number1st
Duration13 Nov 201715 Nov 2017
CityMountain View
CountryUnited States

Event: Conference

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