Abstract
Soft robotics provides a new and exciting approach to design robots. Often inspired by the remarkable performances of biological systems a number of soft robotic designs have been proposed and implemented. Despite their great potential with respect to safety, energy efficiency, and adaptivity, soft robotics still faces a number of fundamental problems, e.g. their inherent complex dynamics that makes it difficult to apply classical control approaches. Morphological computation, a concept that understands that physical bodies can carry out computation, has the great potential to overcome this challenge by providing a novel point of view. Recent theoretical models on morphological computation as well real-world proof of concepts suggest that these unwanted complex dynamics of soft bodies can be actually beneficial and that they can be exploited as a computational resource. As a result, morphological computation allows to simplify the control and learning tasks by outsourcing computation to the physical body and, therefore, pointing to a potential solution for the control problem in soft robotics.
| Original language | English |
|---|---|
| Title of host publication | Advances in Cooperative Robotics |
| Subtitle of host publication | Proceedings of the 19th International Conference on Climbing and Walking Robots and the Support Technologies for Mobile Machines, CLAWAR 2016 |
| Publisher | World Scientific Publishing Co. |
| Pages | 757-764 |
| Number of pages | 8 |
| ISBN (Print) | 9789813149120 |
| DOIs | |
| Publication status | Published - 4 Oct 2016 |
| Event | 19th International Conference on Climbing and Walking Robots and the Support Technologies for Mobile Machines, CLAWAR 2016 - London, United Kingdom Duration: 12 Sept 2016 → 14 Sept 2016 |
Conference
| Conference | 19th International Conference on Climbing and Walking Robots and the Support Technologies for Mobile Machines, CLAWAR 2016 |
|---|---|
| Country/Territory | United Kingdom |
| City | London |
| Period | 12/09/16 → 14/09/16 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 7 Affordable and Clean Energy
Keywords
- Control
- Embodiment
- Morphological computation
- Soft robotics
Fingerprint
Dive into the research topics of 'Morphological computation - A potential solution for the control problem in soft robotics'. Together they form a unique fingerprint.Profiles
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Professor Helmut Hauser
- School of Engineering Mathematics and Technology - Professor of Soft Robotics and Morphological Computation
Person: Academic
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