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We introduce a robotic assembly system that streamlines the design-to-make workflow for going from a CAD model of a product assembly to a fully programmed and adaptive assembly process.
P. Ambler, R. J. Popplestone. Inferring the positions of bodies from specified spatial relationships. in Artificial Intelligence, 6:157–174, 1975
1975
Earlier work this paper cites.
R. Alami, T. Siméon J.P. Laumond. A Geometrical Approach to Planning Manipulation Tasks: The Case of Discrete Placements and Grasps. in Robotics Research 5, H. Miura and S. Arimoto, eds., MIT Press, Cambridge, pp. 453-459, 1990
1990
Earlier work this paper cites.
L. H. De Mello, A.C. Sanderson. A correct and complete algorithm for the generation of mechanical assembly sequences.in IEEE transactions on Robotics and Automation, Bol. 7, no. 2, pp. 228–240, 1991
1991
Earlier work this paper cites.
J.C. Latombe. Robot Motion Planning. Kluwer Academic Publishers, Boston, MA, 1991
1991
Earlier work this paper cites.
T. Lozano-Pérez, J.L. Jones, et al. Handey: a robot task planner. Cambridge, MA, USA: MIT Press, 1992
1992
Earlier work this paper cites.
F. Thomas, C. Torras. Inferring feasible assemblies from spatial constraints. in IEEE Transactions on Robotics and Automation, 8(2):228–239, 1992
1992
Earlier work this paper cites.
Y. Koga, J.C. Latombe. On multi-arm manipulation planning. in International Conference on Robotics and Automation (ICRA), 1994
1994
Earlier work this paper cites.
D. Halperin, J.C. Latombe, R. H. Wilson. A general framework for assembly planning: The motion space approach. in Algorithmica, Vol. 26, no. 3-4, pp. 577–601, 2000
2000
Earlier work this paper cites.
R. A. Knepper, T. Layton, et al, Ikeabot: An autonomous multi-robot coordinated furniture assembly system. in International Conference on Robotics and Automation (ICRA), pp. 855–862, 2013
2013
Cited alongside, same era.
J. Yang, H. Li, and Y. Jia. Go-ICP: Solving 3d registration efficiently and globally optimally. In 2013 IEEE International Conference on Computer Vision (ICCV), pp. 2241–2254, 2013
2013
Cited alongside, same era.
J. Redmon, A. Angelova. Real-time grasp detection using convolutional neural networks. in International Conference on Robotics and Automation (ICRA), pp. 1316–1322, 2015
2015
Cited alongside, same era.
J. Michniewicza, G. Reinharta, S. Boschert. 2016. CAD-based automated assembly planning for variable products in modular production systems. in 6th CIRP Conference on Assembly Technologies and Systems (CATS)
2016
Cited alongside, same era.
W. Wan, H. Igawa, et al. A regrasp planning component for object reorientation. in Autonomous Robot 43, 2018
2018
Later among the works it cites.
Y. Aoki, H. Goforth, et al. PointNetLK: Robust & Efficient Point Cloud Registration using PointNet. in Computer Vision and Pattern Recognition (CVPR), pp. 7163–7172, 2019
2019
Later among the works it cites.
F. Drigalski, C. Nakashima, et al. Team O2AS at the world robot summit 2018: an approach to robotic kitting and assembly tasks using general purpose grippers and tools. in Advanced Robotics, 2020
2020
Later among the works it cites.
G. Gorjup, G. Gao, et al. Combining Compliance Control, CAD Based Localization, and a Multi- Modal Gripper for Rapid and Robust Programming of Assembly Tasks. in IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2020
2020
Later among the works it cites.
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S. Jegou, M. Drozdzal, et al. The one hundred layers tiramisu: Fully convolutional densenets for semantic segmentation. in Proc. IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 2017
2017
Cited alongside, same era.
J. Mahler, J. Liang, et al. Dex-Net 2.0: Deep Learning to Plan Robust Grasps with Synthetic Point Clouds and Analytic Grasp Metrics. in Proceedings of Robotics: Science and Systems (RSS), 2017
2017
Cited alongside, same era.
D. Morrison, P. Corke, J. Leitner. Closing the loop for robotic grasping: A real-time, generative grasp synthesis approach. in Proceedings of Robotics: Science and Systems (RSS), 2018
2018
Cited alongside, same era.
I. Sucan, S. Chitta. MoveIt!. at https://moveit.ros.org
Cited in the paper.
Y. He, W. Sun, et al. PVN3D: A Deep Point-Wise 3D Keypoints Voting Network for 6DoF Pose Estimation. in IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2020
2020
Later among the works it cites.
Y. Zhang, Y. Koga, D. Balkcom. Interlocking Block Assembly With Robots. in IEEE Trans. on Automation Science and Eng., vol. 18, issue 3, 2021
2021
Later among the works it cites.
B. Zhao, H. Zhang, et al. Regnet: Region-based grasp network for single-shot grasp detection in point clouds. in IEEE International Conference on Robotics and Automation (ICRA), 2021
2021
Later among the works it cites.