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Carnegie Mellon Robotics Institute

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Abstract

We address the problem of clearing a pile of unknown objects using an autonomous interactive perception approach. Our robot hypothesizes the boundaries of objects in a pile of unknown objects (object segmentation) and verifies its hypotheses (object detection) using deliberate interactions. To guarantee the safety of the robot and the environment, we use compliant motion primitives for poking and grasping. Every verified segmentation hypothesis can be used to parameterize a compliant controller for manipulation or grasping. The robot alternates between poking actions to verify its segmentation and grasping actions to remove objects from the pile. We demonstrate our method with a robotic manipulator. We evaluate our approach with real-world experiments of clearing cluttered scenes composed of unknown objects.

Keywords

Interactive Perception, Manipulation, Cluttered Environments

Notes

Sponsor: US Army Research Laboratory, Intel Science and Technology Center for Embedded Computing

Associated Center(s) / Consortia: National Robotics Engineering Center

Text Reference

Dov Katz, Moslem Kazemi, J. Andrew (Drew) Bagnell, and Anthony (Tony) Stentz, "Clearing a Pile of Unknown Objects using Interactive Perception," Proceedings of IEEE International Conference on Robotics and Automation, March, 2013.

BibTeX Reference

@inproceedings{Katz_2013_7407,
   author = "Dov Katz and Moslem Kazemi and J. Andrew (Drew) Bagnell and Anthony (Tony) Stentz",
   title = "Clearing a Pile of Unknown Objects using Interactive Perception",
   booktitle = "Proceedings of IEEE International Conference on Robotics and Automation",
   month = "March",
   year = "2013",
}

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