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Learning to act in unstructured environments, such as cluttered piles of objects, poses a substantial challenge for manipulation robots.
In: Proc. of the IEEE/RSJ Int. Conf. on Intelligent Robots and Systems (IROS) (2011)
Cosgun, A., Hermans, T., Emeli, V., Stilman, M.: Push planning for object placement on cluttered table surfaces · 2011
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Robotics: Science and systems VII 1
Dogar, M., Srinivasa, S.: A framework for push-grasping in clutter · 2011
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In: Proc. of the IEEE Int. Conf. on Robotics & Automation (ICRA) (2011)
Kopicki, M., Zurek, S., Stolkin, R., Mörwald, T., Wyatt, J.: Learning to predict how rigid objects behave under simple manipulation · 2011
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In: Proc. of the IEEE-RAS Int. Conf. on Humanoid Robots (Humanoids) (2011)
Schiebener, D., Ude, A., Morimoto, J., Asfour, T., Dillmann, R.: Segmentation and learning of unknown objects through physical interaction · 2011
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In: Proc. of the IEEE Int. Conf. on Robotics & Automation (ICRA) (2012)
Chang, L., Smith, J.R., Fox, D.: Interactive singulation of objects from a pile · 2012
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In: Proc. of the IEEE/RSJ Int. Conf. on Intelligent Robots and Systems (IROS) (2012)
Hermans, T., Rehg, J.M., Bobick, A.: Guided pushing for object singulation · 2012
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In: Proc. of the IEEE/RSJ Int. Conf. on Intelligent Robots and Systems (IROS) (2012)
Richtsfeld, A., Mörwald, T., Prankl, J., Zillich, M., Vincze, M.: Segmentation of unknown objects in indoor environments · 2012
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IEEE Robotics & Automation Magazine 19
Sucan, I.A., Moll, M., Kavraki, L.E.: The open motion planning library · 2012
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In: Proc. of the IEEE Int. Conf. on Robotics & Automation (ICRA) (2013)
Hausman, K., Balint-Benczedi, F., Pangercic, D., Marton, Z.C., Ueda, R., Okada, K., Beetz, M.: Tracking-based interactive segmentation of textureless objects · 2013
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In: Proc. of the IEEE-RAS Int. Conf. on Humanoid Robots (Humanoids) (2013)
Hermans, T., Li, F., Rehg, J.M., Bobick, A.F.: Learning contact locations for pushing and orienting unknown objects · 2013
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Autonomous Robots (2014)
Katz, D., Venkatraman, A., Kazemi, M., Bagnell, J.A., Stentz, A.: Perceiving, learning, and exploiting object affordances for autonomous pile manipulation · 2014
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arXiv preprint arXiv:1412.6980 (2014)
Kingma, D., Ba, J.: Adam: A method for stochastic optimization · 2014
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In: Proc. of the IEEE/RSJ Int. Conf. on Intelligent Robots and Systems (IROS) (2014)
Koo, S., Lee, D., Kwon, D.S.: Unsupervised object individuation from rgb-d image sequences · 2014
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IEEE Transactions on Robotics 30
Van Hoof, H., Kroemer, O., Peters, J.: Probabilistic segmentation and targeted exploration of objects in cluttered environments · 2014
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In: Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence (AAAI) (2015)
Boularias, A., Bagnell, J.A.D., Stentz, A.T.: Learning to manipulate unknown objects in clutter by reinforcement · 2015
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In: Proc. of the IEEE/RSJ Int. Conf. on Intelligent Robots and Systems (IROS). IEEE (2016)
Gualtieri, M., ten Pas, A., Saenko, K., Platt, R.: High precision grasp pose detection in dense clutter · 2016
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Journal of Machine Learning Research 17
Levine, S., Finn, C., Darrell, T., Abbeel, P.: End-to-end training of deep visuomotor policies · 2016
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The International Journal of Robotics Research (2016)
Levine, S., Pastor, P., Krizhevsky, A., Ibarz, J., Quillen, D.: Learning hand-eye coordination for robotic grasping with deep learning and large-scale data collection · 2016
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arXiv preprint arXiv:1604.01360 (2016)
Pinto, L., Gandhi, D., Han, Y., Park, Y.L., Gupta, A.: The curious robot: Learning visual representations via physical interactions · 2016
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In: Proc. of the IEEE Int. Conf. on Robotics & Automation (ICRA) (2016)
Pinto, L., Gupta, A.: Supersizing self-supervision: Learning to grasp from 50k tries and 700 robot hours · 2016
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IEEE transactions on Automation Science and Engineering 12
Gupta, M., Müller, J., Sukhatme, G.S.: Using manipulation primitives for object sorting in cluttered environments · 2015
Cited alongside, same era.
In: Advances in Neural Information Processing Systems (NIPS) (2016)
Agrawal, P., Nair, A.V., Abbeel, P., Malik, J., Levine, S.: Learning to poke by poking: Experiential learning of intuitive physics · 2016
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arXiv preprint arXiv:1604.03670 (2016)
Bohg, J., Hausman, K., Sankaran, B., Brock, O., Kragic, D., Schaal, S., Sukhatme, G.: Interactive perception: Leveraging action in perception and perception in action · 2016
Cited alongside, same era.
arXiv preprint arXiv:1606.02378 (2016)
Byravan, A., Fox, D.: Se3-nets: Learning rigid body motion using deep neural networks · 2016
Cited alongside, same era.
arXiv preprint arXiv:1610.00696 (2016)
Finn, C., Levine, S.: Deep visual foresight for planning robot motion · 2016
Cited alongside, same era.
In: Proc. of the IEEE/RSJ Int. Conf. on Intelligent Robots and Systems (IROS) (2016)
Yu, K.T., Bauza, M., Fazeli, N., Rodriguez, A.: More than a million ways to be pushed. a high-fidelity experimental dataset of planar pushing · 2016
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In: Proc. of the IEEE Int. Conf. on Robotics & Automation (ICRA) (2017)
Laskey, M., Chuck, C., Lee, J., Mahler, J., Krishnan, S., Jamieson, K., Dragan, A., Goldberg, K.: Comparing human-centric and robot-centric sampling for robot deep learning from demonstrations · 2017
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arXiv preprint arXiv:1703.09312 (2017)
Mahler, J., Liang, J., Niyaz, S., Laskey, M., Doan, R., Liu, X., Ojea, J.A., Goldberg, K.: Dex-net 2.0: Deep learning to plan robust grasps with synthetic point clouds and analytic grasp metrics · 2017
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In: Proc. of the IEEE/RSJ Int. Conf. on Intelligent Robots and Systems (IROS) (2017)
Mees, O., Abdo, N., Mazuran, M., Burgard, W.: Metric learning for generalizing spatial relations to new objects · 2017
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arXiv preprint arXiv:1710.08893 (2017)
Zhu, S., Kimmel, A., Bekris, K.E., Boularias, A.: Model identification via physics engines for improved policy search · 2017
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