The objective of this paper is to describe an approach to detect the slip and contact force in real-time feedback. In this novel approach, the DAVIS camera is used as a vision tactile sensor due to its fast process speed and high resolution. Two hundred experiments were performed on four objects with different shapes, sizes, weights, and materials to compare the accuracy and response of the Baxter robot grippers to avoid slipping. The advanced approach is validated by using a force-sensitive resistor (FSR402). The events captured with the DAVIS camera are processed with specific algorithms to provide feedback to the Baxter robot aiding it to detect the slip.
@article{arxiv.2111.05308,
title = {Using The Feedback of Dynamic Active-Pixel Vision Sensor (Davis) to Prevent Slip in Real Time},
author = {Armin Masoumian and Pezhman kazemi and Mohammad Chehreghani Montazer and Hatem A. Rashwan and Domenec Puig Valls},
journal= {arXiv preprint arXiv:2111.05308},
year = {2021}
}
Comments
5 pages, Accepted for The 6th International Conference on Mechatronics and Robotics Engineering (ICMRE 2020)