Purpose–Outcome with a novel methodology for online recognition and classification of
pieces in robotic assembly tasks and its application into an intelligent manufacturing cell …

Robots performing assembly tasks have the opportunity to acquire extensive experience,
which could be used to improve performance. This paper reports on a highly encouraging …

Robotic agents can greatly be benefited from the integration of perceptual learning in order
to monitor and adapt to changing environments. To be effective in complex unstructured …

The acquisition of assembly skills by robots is greatly supported by the efective use of
contact force sensing and object recognition vision systems. In this paper, we describe the …

The paper discusses the employment of different sources of information to support robotic
assembly operations. During component interaction, part of the wrist sensed force and …

Sažetak The main concept of the presented research is an autonomous robot learning
model for which a novel ARTgrid neural network architecture for the classification of spatial …

El desempeño de tareas de ensamble con robots industriales que trabajan en ambientes no
estructurados, puede ser mejorado utilizando percepción visual y nuevas técnicas de …

En el trabajo se presenta un sistema de visión que le permite a un robot manipulador KUKA
de 6 grados de libertad (DOF), obtener información del POSE (localización del objeto) para …

Sažetak The application of industrial robots with advanced sensor systems in unstructured
environments is continuously becoming wider. A widely used type of advanced sensor …

Industrial robots in poorly structured environments have to interact compliantly with this
environment for successful operations. In this paper, we present a behaviour-based …