A neural integrator model for planning and value-based decision making of a robotics assistant

Modern manufacturing and assembly environments are characterized by a high variability in the built process which challenges human–robot cooperation. To reduce the cognitive workload of the operator, the robot should not only be able to learn from experience but also to plan and decide autonomously....

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Bibliographic Details
Main Author: Wojtak, Weronika (author)
Other Authors: Ferreira, Flora José Rocha (author), Vicente, Paulo Sérgio Cunha (author), Louro, Luís (author), Bicho, Estela (author), Erlhagen, Wolfram (author)
Format: article
Language:eng
Published: 2020
Subjects:
Value-based decision making
Action planning
Dynamic field theory
Sevice robotics
Learning
Dynamic Neural Field
Neural integrator
Assembly robot
Sequence learning
Ciências Naturais::Matemáticas
Science & Technology
Online Access:http://hdl.handle.net/1822/69412
Country:Portugal
Oai:oai:repositorium.sdum.uminho.pt:1822/69412

Internet

http://hdl.handle.net/1822/69412

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