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Repositório da UTAD
Doctoral thesis . 2023
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Adaptive grasping planning: a novel unified and modular grasping pipeline architecture

Authors: Souza, João Pedro Carvalho de;

Adaptive grasping planning: a novel unified and modular grasping pipeline architecture

Abstract

A preensão robótica persiste como um problema na indústria moderna que busca técnicas autónomas, de implementação rápida e de alta eficiência em cenários complexos. A implantação de uma estrutura de preensão modular e reconfigurável para robôs atendendo demandas reais é modesta, mesmo com várias metodologias propostas. Cientificamente, a comunidade robótica carece de uma arquitetura de pipeline de preensão bem estruturada e formalizada que organize abordagens que permitam a avaliação e a base para novos avanços. Ao oferecer este novo pipeline de preensão, dotado de interface de utilizador adequada e metodologias incorporadas, a comunidade científica terá à sua disposição uma estrutura baseada em software para fácil integração e teste de novas contribuições científicas. A indústria terá uma ferramenta intuitiva e poderosa capaz de resolver o problema de preensão em diversos cenários.

Country
Portugal
Keywords

Arquitetura de software modular, Planeamento de preensão

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    popularity
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    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green