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dc.contributor.authorHolladay, Rachel
dc.contributor.authorLozano-Perez, Tomas
dc.contributor.authorRodriguez, Alberto
dc.date.accessioned2021-12-20T14:02:33Z
dc.date.available2021-11-05T19:48:51Z
dc.date.available2021-12-20T14:02:33Z
dc.date.issued2019
dc.identifier.urihttps://hdl.handle.net/1721.1/137604.2
dc.description.abstract© 2019 IEEE. The use of hand tools presents a challenge for robot manipulation in part because it calls for motions requiring continuous force application over a whole trajectory, usually involving large joint-angle excursions. The feasible application of a tool, such as pulling a nail with a hammer claw, requires careful coordination of the choice of grasp and joint trajectories to ensure kinematic and force limits are not exceeded - in the grasp as well as the robot mechanism. In this paper, we formulate this type of problem as choosing the values of decision variables in the presence of various constraints. We evaluate the impact of the various constraints in some representative instances of tool use. To aid others in further investigating this class of problems, we have released materials such as printable tool models and experimental data. We hope that these can serve as the basis of a benchmark problem for investigating tasks that involve many kinematic, actuation, friction, and environment constraints.en_US
dc.description.sponsorshipNational Robotics Initiative (Grant IIS-1637753)en_US
dc.language.isoen
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)en_US
dc.relation.isversionof10.1109/IROS40897.2019.8967889en_US
dc.rightsCreative Commons Attribution-Noncommercial-Share Alikeen_US
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/4.0/en_US
dc.sourceMIT web domainen_US
dc.titleForce-and-Motion Constrained Planning for Tool Useen_US
dc.typeArticleen_US
dc.identifier.citationHolladay, Rachel, Lozano-Perez, Tomas and Rodriguez, Alberto. 2019. "Force-and-Motion Constrained Planning for Tool Use." IEEE International Conference on Intelligent Robots and Systems.en_US
dc.contributor.departmentMassachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratoryen_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Mechanical Engineeringen_US
dc.relation.journalIEEE International Conference on Intelligent Robots and Systemsen_US
dc.eprint.versionAuthor's final manuscripten_US
dc.type.urihttp://purl.org/eprint/type/ConferencePaperen_US
eprint.statushttp://purl.org/eprint/status/NonPeerRevieweden_US
dc.date.updated2021-01-28T19:19:17Z
dspace.orderedauthorsHolladay, R; Lozano-Perez, T; Rodriguez, Aen_US
dspace.date.submission2021-01-28T19:19:23Z
mit.licenseOPEN_ACCESS_POLICY
mit.metadata.statusPublication Information Neededen_US


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