no code implementations • 18 Sep 2022 • Prasanna Kumar Routray, Aditya Sanjiv Kanade, Jay Bhanushali, Manivannan Muniyandi
Our study shows that analogous to human texture perception, the proposed model chooses a weighted combination of the two modalities (visual and tactile), thus resulting in higher surface roughness classification accuracy; and it chooses to maximize the weightage of the tactile modality where the visual modality fails and vice-versa.
no code implementations • 1 Sep 2022 • Prasanna Kumar Routray, Aditya Sanjiv Kanade, Pauline Pounds, Manivannan Muniyandi
Further, we experimentally validate that the sensor can classify texture with roughness depths as low as $2. 5\mu m$ at an accuracy of $90\%$ or more and segregate materials based on their roughness and hardness.