Skip to main content
Disciplines
Automotive Business IT + Informatics Construction + Real Estate Electrical Engineering + Electronics Energy + Sustainability Insurance + Risk Finance + Banking Management + Leadership Marketing + Sales Mechanical Engineering + Materials
Events
DE
EN
Books
Journals
Topic Page
Marketing
Start single access now
Access for companies
EXTENDED SEARCH
Log in
Top
Published in:
Identification of the Conjugate Pair to Estimating Object Distance: An Application of the Ant Colony Algorithm Read chapter Read first chapter

2018 | OriginalPaper | Chapter

Applying Adaptive Actor-Critic Learning to Human Upper Lime Lifting Motion

Authors : Ting Wang, Ryad Chellali

Published in: Artificial Intelligence and Robotics

Publisher: Springer International Publishing

Log in

Activate our intelligent search to find suitable subject content or patents.

search-config
loading …

Abstract

An adaptive reinforcement learning method designed to facilitate the on-line lifting motion of the human forearm is here proposed. Its purpose is to use the control based on the proposed learning method to perform the lifting motion. The learning algorithm is an actor-critic learning based on the neural network that used the normalized radial basis function. The paper shows a simulation of the motion of the forearm lifting process. As shown in the results, the forearm continues to lift from a horizontal position to a vertical position. During this process, both the state space and action space are continuous.

Dont have a licence yet? Then find out more about our products and how to get one now:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

  • über 102.000 Bücher
  • über 537 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Maschinenbau + Werkstoffe
  • Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

inform now

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 390 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Maschinenbau + Werkstoffe




 

Jetzt Wissensvorsprung sichern!

inform now

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 340 Zeitschriften

aus folgenden Fachgebieten:

  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Versicherung + Risiko




Jetzt Wissensvorsprung sichern!

inform now
previous chapter Scene Relighting Using a Single Reference Image Through Material Constrained Layer Decomposition
next chapter A Demand-Based Allocation Mechanism for Virtual Machine
Literature
1.
Schaal, S., Atkeson, C.: Learning control in robotics. IEEE Robot. Autom. Mag. 17(2), 20–29 (2010)CrossRef
2.
Schaal, S.: Is imitation learning the route to humanoid robots? Trends Cogn. Sci. 3(6), 233–242 (1999)CrossRef
3.
Argall, B.D., Chernova, S., Veloso, M.: A survey of robot learning from demonstration. Robot. Auton. Syst. 57(5), 469–483 (2009)CrossRef
4.
Billard, B.D., Calinon, S.: Robotic programming by demonstration. Springer Handbook of Robotics, pp. 1371–1394. Springer, Berlin (2008)
5.
Mulling, K., Kober, J., Kroemer, O.: Learning to select and generalize striking movements in robot table tennis. Int. J. Robot. Res. 32(3), 263–279 (2013)CrossRef
6.
Pastor, P., Kalakrishnan, M., Chitta, S.: Skill learning and task outcome prediction for manipulation. In: IEEE International Conference on Robotics and Automation, pp. 3828–3824. IEEE, Shanghai (2011)
7.
Kormushev, P., Calinon, S., Caldwell, D.G.: Robot motor skill coordination with EM-based reinforcement learning. In: IEEE/RSJ International Conference on Intelligent Robots and Systems, pp. 3232–3237. IEEE, Taipei (2010)
8.
Kober, J., Peters, J.: Imitation and reinforcement learning. Robot. Autom. Mag. 17(2), 55–62 (2010)CrossRefMATH
9.
Kormushev, P., Calinon, S., Caldwell, D.G.: Imitation learning of positional and force skills demonstrated via kinesthetic teaching and haptic input. Adv. Robot. 25(5), 581–603 (2011)CrossRef
10.
Abbeel, P., Coates A.: Autonomous helicopter aerobatics through apprentices ship learning. Int. J. Robot. Res. 1–31 (2010)
11.
Lee, K., Su, Y., Kim, T.K.: A syntactic approach to robot imitation learning using probabilistic activity grammars. Robot. Autom. Syst. 61(12), 1323–1334 (2013)CrossRef
12.
Blana, D., Kirsch, R.F., Chadwick, E.K.: Combined feed forward and feedback control of a redundant, nonlinear, dynamic musculoskeletal system. Med. Biol. Eng. Comput. 47, 533–542 (2009)CrossRef
13.
Jagodnik, K., van den Bogert, A.: A proportional derivative FES controller for planar arm movement. In: 12th Annual Conference International FES Society, Philadelphia, PA (2007)
14.
Thomas, P., Branicky, M., van den Bogert, A., Jagodnik, K.: Application of the actor-critic architecture to functional electrical stimulation control of a human arm. In: Proceeding Innovations Applied Artificial Intelligence Conference, pp. 165–172 (2009)
15.
Philip, S.T., Andrew, G.B.: Motor primitive discovery. In: Proceedings of the IEEE Conference on Development and Learning and Epigenetic Robotics (2012)
16.
Lu, H., Li, Y., Uemura, T., Ge, Z., Xu, X.: FDCNet: Filtering deep convolution network for marine organism classification. In: Multimedia Tools and Applications, pp. 1–14 (2017)
17.
He, L., Xing, X., Humin, L., Yang, Y., Fumin, S., Yuxuan, Z., Xing, X., Tao, H.: Unsupervised cross-model retrieval through adversarial learning. In: Proceeding of 2017 IEEE International Conference on Multimedia and Expo (2017)
18.
Xu, X., He, L., Shimada, A., Taniguchi, R.I., Lu, H.: Learning unified binary codes for cross-modal retrieval via latent semantic hashing. In: Neurocomputing, 213, 191–203 (2016)
19.
Humin, L., Yujie, L., Min, Chen., Hyoungseop, Kim., Serikawa, S.: Brain intelligence: go beyond artificial intelligence. In: Mobile Networks Application, pp. 1–10 (2017)
20.
Serikawa, S., Lu, H.: Underwater image dehazing using joint trilateral filter. Comput. Electr. Eng. 40(1), 41–50 (2014)CrossRef
21.
McLean, S.G., Su, A., van den Bogert, A.J.: Development and validation of a 3-D model to predict knee joint loading during dynamic movement. J. Biomech. Eng. 125(6), 864–874 (2003)CrossRef
Metadata
Title
Applying Adaptive Actor-Critic Learning to Human Upper Lime Lifting Motion
Authors
Ting Wang
Ryad Chellali
Copyright Year
2018
Book
Artificial Intelligence and Robotics

Print ISBN: 978-3-319-69876-2

Electronic ISBN: 978-3-319-69877-9

Copyright Year: 2018

DOI
https://doi.org/10.1007/978-3-319-69877-9_6

Premium Partner

    Image Credits