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2018 | OriginalPaper | Chapter

Robotic Grasping and Manipulation Competition: Competitor Feedback and Lessons Learned

Authors : Joe Falco, Yu Sun, Maximo Roa

Published in: Robotic Grasping and Manipulation

Publisher: Springer International Publishing

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Abstract

The First Robot Grasping and Manipulation Competition, held during IROS 2016, allowed researchers focused on the application of robot systems to compare the performance of hand designs as well as autonomous grasping and manipulation solutions across a common set of tasks. The competition was comprised of three tracks that included hand-in-hand grasping, fully autonomous grasping, and simulation. The hand-in-hand and fully autonomous tracks used 18 predefined manipulation tasks and 20 objects. Additionally, a bin picking operation was also performed within the hand-in-hand and fully autonomous tracks using a shopping basket and a subset of the objects. The simulation track included two parts. The first was a pick and place operation, where a simulated hand extracted as many objects as possible from a cluttered shelf and placed them randomly in a bin. The second part was a bin picking operation where a simulated robotic hand lifted as many balls as possible from a bin and deposited them into a second bin. This paper presents competitor feedback as well as an analysis of lessons learned towards improvements and advancements for the next competition at IROS 2017.

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Footnotes
1
Certain commercial entities and items are identified in this paper to foster understanding. Such identification does not imply recommendation or endorsement by the National Institute of Standards and Technology, nor does it imply that the materials or equipment identified are necessarily the best available for the purpose.
 
Literature
5.
go back to reference Messina, E., et al.: Statement of Requirements for Urban Search and Rescue Robot Performance Standards. DHS and NIST Preliminary Report, p. 27 (2005) Messina, E., et al.: Statement of Requirements for Urban Search and Rescue Robot Performance Standards. DHS and NIST Preliminary Report, p. 27 (2005)
6.
go back to reference Falco, J., Van Wyk, K.: Grasping the performance: facilitating replicable performance measures via benchmarking and standardized methodologies. Robot. Autom. Mag. 22(4), 125–136 (2015)CrossRef Falco, J., Van Wyk, K.: Grasping the performance: facilitating replicable performance measures via benchmarking and standardized methodologies. Robot. Autom. Mag. 22(4), 125–136 (2015)CrossRef
9.
go back to reference Huang, Y., Bianchi, M., Liarokapis, M., Sun, Y.: Recent data sets on object manipulation: a survey. Big Data 4(4), 197–216 (2016)CrossRef Huang, Y., Bianchi, M., Liarokapis, M., Sun, Y.: Recent data sets on object manipulation: a survey. Big Data 4(4), 197–216 (2016)CrossRef
10.
go back to reference Paulius, D., et al.: Functional object-oriented network for manipulation learning. In: 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), pp. 2655–2662 (2016) Paulius, D., et al.: Functional object-oriented network for manipulation learning. In: 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), pp. 2655–2662 (2016)
11.
go back to reference Bianchi, M., Bohg, J., Sun, Y.: Latest datasets and technologies presented in the workshop on grasping and manipulation datasets. arXiv preprint arXiv:1609.02531 (2016) Bianchi, M., Bohg, J., Sun, Y.: Latest datasets and technologies presented in the workshop on grasping and manipulation datasets. arXiv preprint arXiv:​1609.​02531 (2016)
13.
go back to reference Sun, Y., Lin, Y., Huang, Y.: Robotic grasping for instrument manipulations. In: 2016 13th International Conference on Ubiquitous Robots and Ambient Intelligence (URAI), pp. 302–304. IEEE (2016) Sun, Y., Lin, Y., Huang, Y.: Robotic grasping for instrument manipulations. In: 2016 13th International Conference on Ubiquitous Robots and Ambient Intelligence (URAI), pp. 302–304. IEEE (2016)
15.
go back to reference Lin, Y., Sun, Y.: Task-based grasp quality measures for grasp synthesis. In: 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), pp. 485–490. IEEE (2015) Lin, Y., Sun, Y.: Task-based grasp quality measures for grasp synthesis. In: 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), pp. 485–490. IEEE (2015)
16.
go back to reference Lin, Y., Sun, Y.: Grasp planning to maximize task coverage. Int. J. Robot. Res. 34(9), 1195–1210 (2015)CrossRef Lin, Y., Sun, Y.: Grasp planning to maximize task coverage. Int. J. Robot. Res. 34(9), 1195–1210 (2015)CrossRef
17.
go back to reference Lin, Y., Sun, Y.: Robot grasp planning based on demonstrated grasp strategies. Int. J. Robot. Res. 34(1), 26–42 (2015)MathSciNetCrossRef Lin, Y., Sun, Y.: Robot grasp planning based on demonstrated grasp strategies. Int. J. Robot. Res. 34(1), 26–42 (2015)MathSciNetCrossRef
Metadata
Title
Robotic Grasping and Manipulation Competition: Competitor Feedback and Lessons Learned
Authors
Joe Falco
Yu Sun
Maximo Roa
Copyright Year
2018
DOI
https://doi.org/10.1007/978-3-319-94568-2_12

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