Real-time hardness prediction using commercial off-the-shelf tactile sensors in robotic grippers

In material classification tasks, custom sensors have traditionally been employed to achieve accuracy scores. While numerous studies have reported high accuracy rates, there has been limited discussion on real-time predictions or real-world applications in most research papers. The real-time predict...

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Bibliographic Details

Main Authors:	Yash Sharma, Sina Akhbari, Claire Guo, Pedro Ferreira, Laura Justham
Format:	Default Conference proceeding
Published:	2025
Subjects:	Machine learning COTS tactile sensor Robotic grippers Hardness classification Hardness prediction
Online Access:	https://hdl.handle.net/2134/28281944.v1
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