Abstract
Object shape information is crucial for many robotic tasks. In this paper, we present an approach of estimating the shapes of unknown objects through touch-based continuum manipulation. Comparing to existing work for shape estimation that uses a conventional robot end-effector to make contact with the object, our approach offers the following advantages: (1) collecting contact points more efficiently through whole-arm wraps using a continuum manipulator; (2) explicitly taking advantage of the continuum robot proprioception to estimate the object shape both more efficiently and more accurately. Our experiments on objects with various shapes demonstrate the effectiveness of the approach.
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Notes
- 1.
The direction of \(\mathbf t \) is flipped if the dot product between \(\mathbf t \) and the z-axis of the local frame on the section endpoint closest to the contact point is negative, to ensure that the robot moves towards a wrapping configuration.
- 2.
Recall that one above-surface point and one below-surface point are generated for each contact point along the contact normal.
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This work is supported by the US NSF grant IIP-1439695.
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Mao, H., Xiao, J. (2020). Object Shape Estimation Through Touch-Based Continuum Manipulation. In: Amato, N., Hager, G., Thomas, S., Torres-Torriti, M. (eds) Robotics Research. Springer Proceedings in Advanced Robotics, vol 10. Springer, Cham. https://doi.org/10.1007/978-3-030-28619-4_42
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