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Compact Real-time Avoidance on a Humanoid Robot for Human-robot Interaction

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F18%3A00327463" target="_blank" >RIV/68407700:21230/18:00327463 - isvavai.cz</a>

  • Result on the web

    <a href="http://dx.doi.org/10.1145/3171221.3171245" target="_blank" >http://dx.doi.org/10.1145/3171221.3171245</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1145/3171221.3171245" target="_blank" >10.1145/3171221.3171245</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Compact Real-time Avoidance on a Humanoid Robot for Human-robot Interaction

  • Original language description

    With robots leaving factories and entering less controlled domains, possibly sharing the space with humans, safety is paramount and multimodal awareness of the body surface and the surrounding environment is fundamental. Taking inspiration from peripersonal space representations in humans, we present a framework on a humanoid robot that dynamically maintains such a protective safety zone, composed of the following main components: (i) a human 2D keypoints estimation pipeline employing a deep learning based algorithm, extended here into 3D using disparity; (ii) a distributed peripersonal space representation around the robot"s body parts; (iii) a reaching controller that incorporates all obstacles entering the robot"s safety zone on the fly into the task. Pilot experiments demonstrate that an effective safety margin between the robot's and the human's body parts is kept. The proposed solution is flexible and versatile since the safety zone around individual robot and human body parts can be selectively modulated---here we demonstrate stronger avoidance of the human head compared to rest of the body. Our system works in real time and is self-contained, with no external sensory equipment and use of onboard cameras only.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Result continuities

  • Project

    <a href="/en/project/GJ17-15697Y" target="_blank" >GJ17-15697Y: Robot self-calibration and safe physical human-robot interaction inspired by body representations in primate brains</a><br>

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Others

  • Publication year

    2018

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Article name in the collection

    Proceedings of the 2018 ACM/IEEE International Conference on Human-Robot Interaction

  • ISBN

    978-1-4503-4953-6

  • ISSN

  • e-ISSN

    2167-2148

  • Number of pages

    9

  • Pages from-to

    416-424

  • Publisher name

    IEEE Computer Society

  • Place of publication

    USA

  • Event location

    Chicago

  • Event date

    Mar 5, 2018

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article