Abstract
Massive parallel arrays of discrete actuators are forceregulated robots that undergo continuous motions despite being commanded through a large but finite number of states only. Realtime control of such systems requires fast and efficient methods for solving their inverse static analysis, which is a challenging problem. Artificial intelligence methods are investigated here for the on-line computation of the inverse static analysis of a planar parallel array featuring eight three-state force actuators and possessing one degree of revolute motion.
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Keywords
- Recurrent Neural Network
- Inverse Kinematic
- Dielectric Elastomer
- Recurrent Neural Network Model
- Inverse Kinematic Algorithm
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Pasila, F., Vertechy, R., Berselli, G., Castelli, V.P. (2013). Inverse Static Analysis of Massive Parallel Arrays of Three- State Actuators via Artificial Intelligence. In: Padois, V., Bidaud, P., Khatib, O. (eds) Romansy 19 – Robot Design, Dynamics and Control. CISM International Centre for Mechanical Sciences, vol 544. Springer, Vienna. https://doi.org/10.1007/978-3-7091-1379-0_6
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DOI: https://doi.org/10.1007/978-3-7091-1379-0_6
Publisher Name: Springer, Vienna
Print ISBN: 978-3-7091-1378-3
Online ISBN: 978-3-7091-1379-0
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