dc.contributor.author | Holladay, Rachel | |
dc.contributor.author | Lozano-Perez, Tomas | |
dc.contributor.author | Rodriguez, Alberto | |
dc.date.accessioned | 2021-12-20T14:02:33Z | |
dc.date.available | 2021-11-05T19:48:51Z | |
dc.date.available | 2021-12-20T14:02:33Z | |
dc.date.issued | 2019 | |
dc.identifier.uri | https://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.sponsorship | National Robotics Initiative (Grant IIS-1637753) | en_US |
dc.language.iso | en | |
dc.publisher | Institute of Electrical and Electronics Engineers (IEEE) | en_US |
dc.relation.isversionof | 10.1109/IROS40897.2019.8967889 | en_US |
dc.rights | Creative Commons Attribution-Noncommercial-Share Alike | en_US |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-sa/4.0/ | en_US |
dc.source | MIT web domain | en_US |
dc.title | Force-and-Motion Constrained Planning for Tool Use | en_US |
dc.type | Article | en_US |
dc.identifier.citation | Holladay, 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.department | Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory | en_US |
dc.contributor.department | Massachusetts Institute of Technology. Department of Mechanical Engineering | en_US |
dc.relation.journal | IEEE International Conference on Intelligent Robots and Systems | en_US |
dc.eprint.version | Author's final manuscript | en_US |
dc.type.uri | http://purl.org/eprint/type/ConferencePaper | en_US |
eprint.status | http://purl.org/eprint/status/NonPeerReviewed | en_US |
dc.date.updated | 2021-01-28T19:19:17Z | |
dspace.orderedauthors | Holladay, R; Lozano-Perez, T; Rodriguez, A | en_US |
dspace.date.submission | 2021-01-28T19:19:23Z | |
mit.license | OPEN_ACCESS_POLICY | |
mit.metadata.status | Publication Information Needed | en_US |