A Roadmap Towards Intelligent and Autonomous Object Manipulation for assembly Tasks

Athanasios Polydoros, Lazaros Nalpantidis, Volker Krüger

Research output: Contribution to conference without publisher/journalPaper without publisher/journalResearchpeer-review

Abstract

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
Original languageEnglish
Publication date31 May 2014
Publication statusPublished - 31 May 2014
EventInternational workshop on Autonomous Grasping and Manipulation: An open challenge - Hong Kong, China
Duration: 31 May 2014 → …

Workshop

WorkshopInternational workshop on Autonomous Grasping and Manipulation
Country/TerritoryChina
CityHong Kong
Period31/05/2014 → …

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