Object and Texture Classification
Multi-modal tactile sensing for classification
Tactile perception for texture and object characterization
Robots capable of classifying objects and textures will provide early insights when interacting with their environment. There is a large area of application of such robots, from garbage selection to domestic tasks, capable of characterization.
During this project, I and some master students performed experiments using two types of multi-modal tactile sensors 1.
Using inertial measurements and pressure, information from tactile sensor trained machine learning models to classify textures and sets of objects.
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de Oliveira, T. E. A., Prado da Fonseca, V., Huluta, E., Rosa, P. F. F., & Petriu, E. M. (2015). Data-driven analysis of kinaesthetic and tactile information for shape classification. 2015 IEEE International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications (CIVEMSA), 1–5. https://doi.org/10.1109/CIVEMSA.2015.7158615 ↩