An Action-Level Assistant for Robotic Manipulation: User Experience and Performance
Resumo
Achieving full autonomy in robotic manipulation tasks in unstructured environments remains challenging despite technological advancements. This paper introduces LOLA, a user-centric framework designed for seamless task creation across various robotic manipulators. A comparative user study with 20 participants revealed that LOLA closely matched user’s expectations highlighting its potential for broader application in robotic manipulation.
Palavras-chave:
robotic manipulation, shared autonomy, HRI
Publicado
21/11/2023
Como Citar
MARTINS, Diogo; ALDHAHERI, Sara; KOPANEV, Pavel; PAIRET, Èric; ARDÓN, Paola; SÁ, Alirio.
An Action-Level Assistant for Robotic Manipulation: User Experience and Performance. In: SIMPÓSIO BRASILEIRO DE ENGENHARIA DE SISTEMAS COMPUTACIONAIS (SBESC), 13. , 2023, Porto Alegre/RS.
Anais [...].
Porto Alegre: Sociedade Brasileira de Computação,
2023
.
p. 67-72.
ISSN 2237-5430.