Abstract
The softness perception is a vital yet complex sensory mechanism that we employ in fine manipulative tasks. Although softness perception is typically linked to kinesthetic feedback, in manipulating objects that are comparable to or softer than the skin, tactile feedback plays a crucial role. Lately, beyond contact area and force distribution, temporal cues have been identified as contributors to compliance discrimination. We also previously demonstrated that these human-inspired temporal cues can enable robot sensing softness with a reduced number of sensors in our previous study. However, it remains unclear whether these temporal cues are linked to skin biomechanics, contact dynamics, or material non-linearity. In this study, we examine the impact of material viscosity on tactile softness discrimination. To achieve this, we utilized a viscoelastic springpot model to create a control group of elastic samples and an experimental group of viscoelastic samples. Through a psychophysical experiment, we discovered that viscosity plays a positive role in influencing the discrimination of material softness. This enhanced discrimination may be attributed to asynchronous force rates in the loading and unloading phases of deformation.
| Original language | English |
|---|---|
| Title of host publication | 2024 10th IEEE RAS/EMBS International Conference for Biomedical Robotics and Biomechatronics (BioRob) |
| Publisher | IEEE |
| Pages | 1-6 |
| Number of pages | 6 |
| ISBN (Electronic) | 9798350386523 |
| ISBN (Print) | 9798350386530 |
| DOIs | |
| Publication status | Published - 23 Oct 2024 |
| Event | 2024 10th IEEE RAS/EMBS International Conference for Biomedical Robotics and Biomechatronics (BioRob) - Duration: 1 Sept 2024 → 4 Sept 2024 |
Publication series
| Name | Proceedings of the IEEE RAS and EMBS International Conference on Biomedical Robotics and Biomechatronics |
|---|---|
| ISSN (Print) | 2155-1774 |
| ISSN (Electronic) | 2155-1782 |
Conference
| Conference | 2024 10th IEEE RAS/EMBS International Conference for Biomedical Robotics and Biomechatronics (BioRob) |
|---|---|
| Period | 1/09/24 → 4/09/24 |
Bibliographical note
Funding Information:This project was supported by the European Union's Horizon 2020 research and innovation program under the Marie Sklodowska-Curie grant agreement No 101034337.
Publisher Copyright:
© 2024 IEEE.
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