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dc.contributor.authorLiu, Pengcheng
dc.contributor.authorElGeneidy, Khaled
dc.contributor.authorPearson, Simon
dc.contributor.authorHuda, M.N.
dc.contributor.authorNeumann, Gerhard
dc.date.accessioned2019-01-24T16:05:19Z
dc.date.available2019-01-24T16:05:19Z
dc.date.issued2018
dc.identifier.citationLiu, P., ElGeneidy, K., Pearson, S., Huda, M.N. and Neumann, G., 2018, July. Towards Real-Time Robotic Motion Planning for Grasping in Cluttered and Uncertain Environments. In Towards Autonomous Robotic Systems: 19th Annual Conference, TAROS 2018, Bristol, UK July 25-27, 2018, Proceedings (Vol. 10965, p. 481-483). Springer.en_US
dc.identifier.isbn978-3-319-96727-1
dc.identifier.isbn978-3-319-96728-8
dc.identifier.issn0302-9743
dc.identifier.issn1611-3349
dc.identifier.urihttp://hdl.handle.net/10369/10231
dc.descriptionShort paper published in TAROS 2018, available at https://doi.org/10.1007/978-3-319-96728-8en_US
dc.description.abstractAdaptation to unorganized, congested and uncertain environment is a desirable capability but challenging task in development of robotic motion planning algorithms for object grasping. We have to make a tradeoff between coping with the environmental complexities using computational expensive approaches, and enforcing practical manipulation and grasping in real-time. In this paper, we present a brief overview and research objectives towards real-time motion planning for grasping in cluttered and uncertain environments. We present feasible ways in approaching this goal, in which key challenges and plausible solutions are discussed.en_US
dc.language.isoenen_US
dc.publisherSpringeren_US
dc.relation.ispartofseriesLecture Notes in Computer Science;
dc.titleTowards Real-Time Robotic Motion Planning for Grasping in Cluttered and Uncertain Environmentsen_US
dc.typeConference paperen_US
dc.identifier.doihttps://doi.org/10.1007/978-3-319-96728-8
dcterms.dateAccepted2018
rioxxterms.versionAMen_US
rioxxterms.licenseref.urihttp://www.rioxx.net/licenses/all-rights-reserveden_US


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