Towards real-time robotic motion planning for grasping in cluttered and uncertain environments

Pengcheng Liu, Khaled Elgeneidy, Simon Pearson, M. Nazmul Huda, Gerhard Neumann

    Research output: Chapter in Book/Report/Conference proceedingConference proceedingpeer-review

    Abstract

    Adaptation 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.
    Original languageEnglish
    Title of host publicationTowards Autonomous Robotic Systems
    Subtitle of host publication19th Towards Autonomous Robotic Systems TAROS 2018 Conference
    PublisherSpringer
    Pages(in press)
    ISBN (Electronic)978-3-319-96728-8
    ISBN (Print)978-3-319-96727-1
    Publication statusAccepted/In press - Jul 2018
    Event19th Towards Autonomous Robotic Systems (TAROS) Conference - University of the West of England, Bristol, United Kingdom
    Duration: 25 Jul 201827 Jul 2018
    Conference number: 19
    http://www.brl.ac.uk/taros2018.aspx

    Conference

    Conference19th Towards Autonomous Robotic Systems (TAROS) Conference
    Abbreviated titleTAROS 2018
    Country/TerritoryUnited Kingdom
    CityBristol
    Period25/07/1827/07/18
    Internet address

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