Project Details
Description
Nature has many remarkable properties. One is the healing capability of organisms: a wound will heal under the right conditions. In man- made objects such as robots, often mimicking nature, this property has remained absent until recently. Imagine humans are not able to heal wounds, this would drastically decrease their lifespan. Similarly, self-healing capabilities prolong the lifetime of other applications. In soft robots, the utility of this property is clear as they are more prone to wear, tears and ruptures by overpressure or contact with sharp objects due to their softness. However, their flexibility allows compliance, being able to deform around object, and thus, a safer interaction with humans or delicate objects.
By interdisciplinary research, we developed soft robots with a healing ability by using self-healing material. Currently, these robots are unable to sense touch, their position or damage. This project will provide them with sensing capabilities without losing the self-healing property, and will allow them to heal autonomously. This increases their potential for industrial use. Until now, self-healing actuators
were manufactured manually, but during my thesis and the start of my phd, the first step in additive manufacturing was taken. In this project, robots and sensors will be investigated using additive manufacturing, further developing this process towards multi-material printing, strongly increasing the design freedom for self-healing
robots and sensors.
By interdisciplinary research, we developed soft robots with a healing ability by using self-healing material. Currently, these robots are unable to sense touch, their position or damage. This project will provide them with sensing capabilities without losing the self-healing property, and will allow them to heal autonomously. This increases their potential for industrial use. Until now, self-healing actuators
were manufactured manually, but during my thesis and the start of my phd, the first step in additive manufacturing was taken. In this project, robots and sensors will be investigated using additive manufacturing, further developing this process towards multi-material printing, strongly increasing the design freedom for self-healing
robots and sensors.
| Acronym | FWOSB92 |
|---|---|
| Status | Finished |
| Effective start/end date | 1/11/19 → 31/10/23 |
Keywords
- Self-healing materials
- Soft robotics
- Additive Manufacturing
Flemish discipline codes in use since 2023
- Sensing, estimation and actuating
- Manufacturing processes, methods and technologies
- Polymer processing
- Robot structures
Fingerprint
Explore the research topics touched on by this project. These labels are generated based on the underlying awards/grants. Together they form a unique fingerprint.
-
CONDUCTIVE SELF-HEALING COMPOSITE MATERIALS
Sahraeeazartamar, F. (Inventor), Brancart, J. (Inventor), Van Assche, G. (Inventor), Terryn, S. (Inventor), Kashef Tabrizian, S. (Inventor) & Vanderborght, B. (Inventor), 2025, Patent No. US2025115734A1Research output: Patent
-
An Interdisciplinary Tutorial: A Self-Healing Soft Finger with Embedded Sensor
Roels, E., Terryn, S., Ferrentino, P., Brancart, J., Van Assche, G. & Vanderborght, B., 10 Jan 2023, In: Sensors. 23, 2, 811.Research output: Contribution to journal › Article › peer-review
Open AccessFile4 Citations (Scopus)102 Downloads (Pure) -
Conductive self-healing composite materials
Sahraeeazartamar, F. (Inventor), Brancart, J. (Inventor), Roels, E. (Inventor), Van Assche, G. (Inventor), Terryn, S. (Inventor), Kashef Tabrizian, S. (Inventor) & Vanderborght, B. (Inventor), 24 Aug 2023, IPC No. H01L 23/482 (2006.01), C08G 61/00 (2006.01), C08G 59/32 (2006.01), B33Y 70/00 (2020.01), C07B 37/12 (2006.01), C09J 163/00 (2006.01), C08K 3/04 (2006.01), C08K 3/34 (2006.01), C08G 59/52 (2006.01), WIPO/PCT, Patent No. WO2023156684A1, 22 Feb 2023, Priority date 21 Feb 2022, Priority No. EP22157830Research output: Patent
Datasets
-
Documentation and instructions for the tutorial: building your own self-healing soft finger with embedded sensor
Roels, E. (Creator), Terryn, S. (Creator), Ferrentino, P. (Creator), Brancart, J. (Creator), Van Assche, G. (Creator) & Vanderborght, B. (Creator), Zenodo, 22 May 2022
Dataset