Abstract
This paper proposes a method of exploring the global shape of an unknown object using information on local geometric features. In the first, we introduce a rolling and sliding motion of a fingertip with a force/torque sensor to estimate an unknown local curvature. Also, a recognition algorithm for local geometry using normal curvature equations is presented, which are composed of principal curvatures and principal direction. Finally, to reconstruct the global shape of the object, we propose an interpolation method using principal curvatures at contact points. The proposed method is verified using a hand-arm system consisting of an industrial robot arm and an anthropomorphic robot hand with a 6-axis force/torque sensor. The effectiveness of the proposed method is experimentally validated for different type of objects.
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Acknowledgments
This research was supported by the convergence technology development program for bionic arm through the National Research Foundation of Korea (NRF) funded by the Ministry of Science, ICT & Future Plannig (No. 2014M3C1B2048175).
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Kim, Y.B., Kang, G., Yee, G.K. et al. Exploration and reconstruction of unknown object by active touch of robot hand. Intel Serv Robotics 8, 141–149 (2015). https://doi.org/10.1007/s11370-015-0174-1
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DOI: https://doi.org/10.1007/s11370-015-0174-1