Conference item
A modular soft robotic arm with embedded tactile sensors for proprioception
- Abstract:
- — Soft robotic arms are designed to execute dexterous tasks safely in cluttered environments due to their inherent compliance and infinite degrees of freedom. Closed-loop control requires proprioceptive sensing to retrieve the spatial configuration of the robot. However, the integration of soft sensing in the soft continuum body is still an ongoing challenge. In this paper, we present a highly integrated pneumatically actuated soft robotic arm that consists of 1) an omnidirectional actuator design for multi-material 3D printing, 2) a modular approach with fast assembling connectors and 3) a tactile sensing array embedded in the joint of each module. The in-joint placement of the tactile sensing array is used to map the variation of stress distribution between the two connected modules and the posture of the actuator with learned k-nearest neighbors regression. The experimental results showed that the method estimated the posture of a three-segment soft arm with a mean error of 5.64 mm for the tip location.
- Publication status:
- Published
- Peer review status:
- Peer reviewed
Actions
Access Document
- Files:
-
-
(Preview, Accepted manuscript, 3.5MB, Terms of use)
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- Publisher copy:
- 10.1109/robosoft54090.2022.9762156
Authors
- Publisher:
- IEEE
- Host title:
- 5th International Conference on Soft Robotics (RoboSoft 2022)
- Pages:
- 919-924
- Publication date:
- 2022-04-04
- Event title:
- Proceedings of the 5th International Conference on Soft Robotics (RoboSoft 2022)
- Event location:
- Edinburgh, UK
- Event website:
- https://softroboticsconference.org/
- Event start date:
- 2022-04-04
- Event end date:
- 2022-04-08
- DOI:
- EISBN:
- 978-1-6654-0828-8
- ISBN:
- 978-1-6654-0829-5
- Language:
-
English
- Keywords:
- Pubs id:
-
1258275
- Local pid:
-
pubs:1258275
- Deposit date:
-
2022-05-12
Terms of use
- Copyright holder:
- IEEE
- Copyright date:
- 2022
- Rights statement:
- © 2022 IEEE
- Notes:
- This paper was presented at the 5th International Conference on Soft Robotics (RoboSoft 2022), 4th-8th April 2022, Edinburgh, UK. This is the accepted manuscript version of the article. The final version is available online from IEEE at: https://doi.org/10.1109/RoboSoft54090.2022.9762156
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