Abstract
dc:description.abstractHumans often push when grasping or lifting is inconvenient or infeasible, because pushing requires fewer contacts and fights against only a fraction of the object's weight. However, pushing results are hard to predict, because the physical parameters that govern the pushing motion are difficult to measure. We derived a physics-based box pushing model and implemented a feedback-based pushing pipeline using the model. Experimental results show that our pushing model has fair predictive power and our pushing pipeline can reliably push the target to the goal. We compared our physics-based method to a minimalistic baseline pushing method and showed that our method is more accurate and reliable.
Degree
thesis:*- Department dc:contributor.department
- Massachusetts Institute of Technology. Dept. of Electrical Engineering and Computer Science.
- Grantor dc:publisher
- Massachusetts Institute of Technology
- Year dc:date.issued
- 2011
Author and committee
dc:creator, dc:contributor.*- Author dc:creator
-
- Liu, Huan
- Advisor dc:contributor.advisor
-
- Tomas Lozano-Perez.
Subjects
dc:subject × 1Rights
dc:rights- Statement dc:rights
-
- M.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission.
- Licence dc:rights.uri
- Language dc:language.iso
- eng
Identifiers
dc:identifier.*- Handle dc:identifier.uri
- http://hdl.handle.net/1721.1/76988
- OAI identifier oai:identifier
- oai:dspace.mit.edu:1721.1/76988