Cristin-resultat-ID: 1827588
Sist endret: 17. september 2020, 14:00
Resultat
Vitenskapelig foredrag
2020

Plenary Session: Vision for Robotics

Bidragsytere:
  • Annette Stahl

Presentasjon

Navn på arrangementet: IEEE International Workshop on Advanced Motion Control (AMC2020)
Dato fra: 14. september 2020
Dato til: 16. september 2020

Om resultatet

Vitenskapelig foredrag
Publiseringsår: 2020

Klassifisering

Vitenskapsdisipliner

Matematisk modellering og numeriske metoder

Emneord

Mønstergjenkjenning • Anvendt matematikk • Maskinlæring • Robotsyn

Beskrivelse Beskrivelse

Tittel

Plenary Session: Vision for Robotics

Sammendrag

Reproducing the capabilities of visual sensing that one can find in nature would provide a very powerful and highly desired tool for robots. Ideally this enables a robot to perceive and interpret its surrounding so that it can use this information to execute different tasks within a real world environment. As robots operate in various environments (indoors, in space, in air, underwater) equipped with different sets of visual sensing devices (standard cameras, time-of-flight cameras, structured light cameras, hyperspectral imager) this makes the generic "interpretation of the world around a robot" very challenging. In this presentation I wish to introduce you to certain aspects within the world of "robotic vision" - where we try to teach machines to understand, plan and act in an intelligent way. In particular we will be concerned with how robots might build concepts about objects, understand relations between objects and understand the 3D structure of the surrounding world. The analysis of motion in the world of a robot is also an integral part of this understanding and important for many robotic control tasks.

Bidragsytere

Annette Stahl

  • Tilknyttet:
    Forfatter
    ved Institutt for teknisk kybernetikk ved Norges teknisk-naturvitenskapelige universitet
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