A Roadmap Towards Intelligent and Autonomous Object Manipulation for assembly Tasks

Publikation: Konferencebidrag uden forlag/tidsskriftPaper uden forlag/tidsskriftForskningpeer review

Resumé

Despite the large scientific interest on robot learning for
object picking tasks, the research on object placing
is too limited. Commonly, placing is simplistically considered
as a trivial task, but real life manipulation problems indicate
the exact opposite. A placing task can have different levels of
complexity, ranging from the simplest tabletop placing of an
object, to more complex cases such as loading a dishwasher
and assembling industrial parts. In this paper we argue that
assembly can and needs to be seen as a complex placing task.
Thus, the need for systems with advanced placing capabilities
becomes evident.
We consider mach
OriginalsprogEngelsk
Publikationsdato31 maj 2014
StatusUdgivet - 31 maj 2014
BegivenhedInternational workshop on Autonomous Grasping and Manipulation: An open challenge - Hong Kong, Kina
Varighed: 31 maj 2014 → …

Workshop

WorkshopInternational workshop on Autonomous Grasping and Manipulation
LandKina
ByHong Kong
Periode31/05/2014 → …

Fingerprint

Robot learning
Mach number

Citer dette

Polydoros, A., Nalpantidis, L., & Krüger, V. (2014). A Roadmap Towards Intelligent and Autonomous Object Manipulation for assembly Tasks. Afhandling præsenteret på International workshop on Autonomous Grasping and Manipulation, Hong Kong, Kina.
Polydoros, Athanasios ; Nalpantidis, Lazaros ; Krüger, Volker. / A Roadmap Towards Intelligent and Autonomous Object Manipulation for assembly Tasks. Afhandling præsenteret på International workshop on Autonomous Grasping and Manipulation, Hong Kong, Kina.
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title = "A Roadmap Towards Intelligent and Autonomous Object Manipulation for assembly Tasks",
abstract = "Despite the large scientific interest on robot learning forobject picking tasks, the research on object placingis too limited. Commonly, placing is simplistically consideredas a trivial task, but real life manipulation problems indicatethe exact opposite. A placing task can have different levels ofcomplexity, ranging from the simplest tabletop placing of anobject, to more complex cases such as loading a dishwasherand assembling industrial parts. In this paper we argue thatassembly can and needs to be seen as a complex placing task.Thus, the need for systems with advanced placing capabilitiesbecomes evident.We consider mach",
author = "Athanasios Polydoros and Lazaros Nalpantidis and Volker Kr{\"u}ger",
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Polydoros, A, Nalpantidis, L & Krüger, V 2014, 'A Roadmap Towards Intelligent and Autonomous Object Manipulation for assembly Tasks', Paper fremlagt ved International workshop on Autonomous Grasping and Manipulation, Hong Kong, Kina, 31/05/2014.

A Roadmap Towards Intelligent and Autonomous Object Manipulation for assembly Tasks. / Polydoros, Athanasios; Nalpantidis, Lazaros; Krüger, Volker.

2014. Afhandling præsenteret på International workshop on Autonomous Grasping and Manipulation, Hong Kong, Kina.

Publikation: Konferencebidrag uden forlag/tidsskriftPaper uden forlag/tidsskriftForskningpeer review

TY - CONF

T1 - A Roadmap Towards Intelligent and Autonomous Object Manipulation for assembly Tasks

AU - Polydoros, Athanasios

AU - Nalpantidis, Lazaros

AU - Krüger, Volker

PY - 2014/5/31

Y1 - 2014/5/31

N2 - Despite the large scientific interest on robot learning forobject picking tasks, the research on object placingis too limited. Commonly, placing is simplistically consideredas a trivial task, but real life manipulation problems indicatethe exact opposite. A placing task can have different levels ofcomplexity, ranging from the simplest tabletop placing of anobject, to more complex cases such as loading a dishwasherand assembling industrial parts. In this paper we argue thatassembly can and needs to be seen as a complex placing task.Thus, the need for systems with advanced placing capabilitiesbecomes evident.We consider mach

AB - Despite the large scientific interest on robot learning forobject picking tasks, the research on object placingis too limited. Commonly, placing is simplistically consideredas a trivial task, but real life manipulation problems indicatethe exact opposite. A placing task can have different levels ofcomplexity, ranging from the simplest tabletop placing of anobject, to more complex cases such as loading a dishwasherand assembling industrial parts. In this paper we argue thatassembly can and needs to be seen as a complex placing task.Thus, the need for systems with advanced placing capabilitiesbecomes evident.We consider mach

M3 - Paper without publisher/journal

ER -

Polydoros A, Nalpantidis L, Krüger V. A Roadmap Towards Intelligent and Autonomous Object Manipulation for assembly Tasks. 2014. Afhandling præsenteret på International workshop on Autonomous Grasping and Manipulation, Hong Kong, Kina.