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Embodied active tactile perception

Abstract:
Tactile perception plays an important role in an agent safely interacting with the environment while acquiring information about it. Bio-inspired robotics opens up possibilities for a new paradigm leveraging the morphology of the body, which filters the tactile information in physical interactions and enables investigations of new designs for embodied active tactile perception. The subjects of morphology embodied active perception and motor embodied active perception is defined and discussed in this chapter. In the scope of morphology embodied active perception, sensor optimization and sensor adaptation are further defined to describe the change of sensor morphology in the design phase and the interacting phase, respectively. More specifically, the concept of online and offline sensor adjustment is presented. Sensor optimization is solely considered in the offline process for optimization and evolution design of the sensor structure and characteristics. Sensor adaptation and motor embodied active perception are considered in the online process to actively shape the sensing process with the morphology change of the sensors themselves and the action of the body where the sensors are placed, respectively. "Design as a whole" is proposed as an inverse problem to address the sensing tasks. The design of new tactile sensors should not focus on the sensor per se but should also include design parameters for sensor optimization, sensor adaptation, and motor actions.
Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.1088/1757-899x/1292/1/012007

Authors

More by this author
Institution:
University of Oxford
Division:
MPLS
Department:
Engineering Science
Role:
Author
More by this author
Institution:
University of Oxford
Division:
MPLS
Department:
Engineering Science
Role:
Author


Publisher:
IOP Publishing
Journal:
IOP Conference Series Materials Science and Engineering More from this journal
Volume:
1292
Issue:
1
Article number:
012007
Publication date:
2023-11-10
Acceptance date:
2023-10-12
Event title:
Embodied Intelligence Conference 2022 (EI-2022)
Event location:
Cambridge, United Kingdom
Event website:
https://embodied-intelligence.org/home/
Event start date:
2022-03-23
Event end date:
2022-03-25
DOI:
ISSN:
1757-8981


Language:
English
Pubs id:
1769751
Local pid:
pubs:1769751
Deposit date:
2024-05-07
ARK identifier:

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