Abstract
This work proposes a framework for tracking a desired path of an object held by an adaptive hand via within-hand manipulation. Such underactuated hands are able to passively achieve stable contacts with objects. Combined with vision-based control and data-driven state estimation process, they can solve tasks without accurate hand-object models or multi-modal sensory feedback. In particular, a data-driven regression process is used here to estimate the probability of dropping the object for given manipulation states. Then, an optimization-based planner aims to track the desired path while avoiding states that are above a threshold probability of dropping the object. The optimized cost function, based on the principle of Dynamic-Time Warping (DTW), seeks to minimize the area between the desired and the followed path. By adapting the threshold for the probability of dropping the object, the framework can handle objects of different weights without retraining. Experiments involving writing letters with a marker, as well as tracing randomized paths, were conducted on the Yale Model T-42 hand. Results indicate that the framework successfully avoids undesirable states, while minimizing the proposed cost function, thereby producing object paths for within-hand manipulation that closely match the target ones .
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Alt, H., Godau, M.: Computing the fréchet distance between two polygonal curves. Int. J. Comput. Geom. Appl. 5(01n02), 75–91 (1995)
Belogay, E., Cabrelli, C., Molter, U., Shonkwiler, R.: Calculating the hausdorff distance between curves. Inf. Process. Lett. 64, 17–22 (1997)
Bicchi, A., Melchiorri, C., Balluchi, D.: On the mobility and manipulability of general multiple limb robots. IEEE Trans. Robot. Autom. 11(2), 215–228 (1995). https://doi.org/10.1109/70.370503
Calli, B., Dollar, A.M.: Vision-based precision manipulation with underactuated hands: simple and effective solutions for dexterity. In: 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), pp. 1012–1018 (2016). https://doi.org/10.1109/IROS.2016.7759173
Calli, B., Dollar, A.M.: Robust precision manipulation with simple process models using visual servoing techniques with disturbance rejection. IEEE Trans. Autom. Sci. Eng. 1–14 (2018). https://doi.org/10.1109/TASE.2018.2819661
Calli, B., Srinivasan, K., Morgan, A., Dollar, A.M.: Learning modes of within-hand manipulation. In: IEEE International Conference of Robotics and Automation (2018, accepted)
Efrat, A., Fan, Q., Venkatasubramanian, J.: Curve matching, time warping, and light fields, new algorithms for computing similarity between curves. Math. Imaging Vis. 27, 203–216 (2007)
Hang, K., Li, M., Stork, J.A., Bekiroglu, Y., Pokorny, F.T., Billard, A., Kragic, D.: Hierarchical fingertip space: a unified framework for grasp planning and in-hand grasp adaptation. IEEE Trans. Robot. 32(4), 960–972 (2016). https://doi.org/10.1109/TRO.2016.2588879
Har-Peled, S., Raichel, B.: The fréchet distance revisited and extended. ACM Trans. Algorithms (TALG) 10(1), 3 (2014)
Keogh, E., Ratanamahatana, C.A.: Exact indexing of dynamic time warping. Knowl. Inf. Syst. 7(3), 358–386 (2005)
Li, Y., Littlefield, Z., Bekris, K.E.: Asymptotically optimal sampling-based kinodynamic planning. Int. J. Robot. Res. (IJRR) 35(5), 528–564 (2016)
Littlefield, Z., Bekris, K.E.: Informed asymptotically near-optimal planning for field robots with dynamics. In: Field and Service Robotics, pp. 449–463. Springer (2017)
Littlefield, Z., Bekris, K.E.: Efficient and asymptotically optimal kinodynamic motion planning via dominance-informed regions. In: IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (2018)
Munich, M.E., Perona, P.: Continuous dynamic time warping for translation-invariant curve alignment with applications to signature verification. IEEE Int. Conf. Comput. Vis. 1, 108–115 (1999)
Okamura, A.M., Smaby, N., Cutkosky, M.R.: An overview of dexterous manipulation. In: IEEE International Conference on Robotics and Automation (ICRA), vol. 1, pp. 255–262 (2000). https://doi.org/10.1109/ROBOT.2000.844067
Salvador, S., Chan, P.: Toward accurate dynamic time warping in linear time and space. Intell. Data Anal. 11(5), 561–580 (2007)
Solovey, K., Halperin, D.: Efficient sampling-based bottleneck pathfinding over cost maps. In: 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), pp. 2003–2009. IEEE (2017)
Wenk, C., et al.: Geodesic fréchet distance inside a simple polygon. ACM Trans. Algorithms (TALG) 7(1), 9 (2010)
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This work was partially sponsored by NSF IIS-1734492, IIS-1723869, and IIS-1317976.
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Calli, B., Kimmel, A., Hang, K., Bekris, K., Dollar, A. (2020). Path Planning for Within-Hand Manipulation over Learned Representations of Safe States. In: Xiao, J., Kröger, T., Khatib, O. (eds) Proceedings of the 2018 International Symposium on Experimental Robotics. ISER 2018. Springer Proceedings in Advanced Robotics, vol 11. Springer, Cham. https://doi.org/10.1007/978-3-030-33950-0_38
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