Material Classification based on Thermal Properties - A Robot and Human Evaluation

Research output: Chapter in Book/Report/Conference proceedingConference contribution

11 Citations (Scopus)

Abstract

The surface properties of an object and the environment in which it is located are important for robot grasping and manipulation. Physical contact with an object using tactile sensors can enable the retrieval of detailed information about the object, i.e. compressibility, surface texture and thermal properties. This paper describes a system that classifies materials based on their thermal properties alone, minimising the amount of manipulation required. Following acquisition of data from a sophisticated tactile sensor, the system uses an Artificial Neural Network (ANN) to classify materials based on representations of their thermal properties. The system was compared with human performance in the task of classifying materials and was found to perform better.
Original languageEnglish
Title of host publicationUnknown Host Publication
PublisherIEEE
Pages1048-1053
Number of pages6
DOIs
Publication statusPublished - 12 Dec 2013
Event2013 IEEE International Conference on Robotics and Biomimetics (ROBIO), - Shenzhen, China
Duration: 12 Dec 2013 → …

Conference

Conference2013 IEEE International Conference on Robotics and Biomimetics (ROBIO),
Period12/12/13 → …

Fingerprint Dive into the research topics of 'Material Classification based on Thermal Properties - A Robot and Human Evaluation'. Together they form a unique fingerprint.

  • Cite this