Resumé
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
| Originalsprog | Engelsk |
|---|---|
| Publikationsdato | 31 maj 2014 |
| Status | Udgivet - 31 maj 2014 |
| Begivenhed | International workshop on Autonomous Grasping and Manipulation: An open challenge - Hong Kong, Kina Varighed: 31 maj 2014 → … |
Workshop
| Workshop | International workshop on Autonomous Grasping and Manipulation |
|---|---|
| Land | Kina |
| By | Hong Kong |
| Periode | 31/05/2014 → … |
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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/tidsskrift › Paper uden forlag/tidsskrift › Forskning › peer 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 -