Bio-inspired Control of Dexterous Manipulation

  • Rosana Matuk Herrera
  • Fabio Leoni
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3809)


Robots successfully manipulate objects in controlled environments. However, they fail in unknown environments. Few years old children lift and manipulate unfamiliar objects more dexterously than today’s robots. Therefore, roboticists are looking for inspiration on neurophysiological studies to improve their robotics control models. We present an artificial intelligence control model for dexterous manipulation, and a grip and load force control algorithm, strongly inspired on neurophysiological studies of the human manipulation process.


Robotics dexterous manipulation neural networks reinforcement learning 


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  1. 1.
    Israelsson, A.: Simulation of responses in afferents from the glabrous skin during human manipulation. Master’s thesis, Master thesis in Cognitive Science, Umeå University, Sweden (2002)Google Scholar
  2. 2.
    Johansson, R., Edin, B.B.: Predictive feed-forward sensory control during grasping and manipulation in man. Biomedical Research 14, 95–106 (1993)Google Scholar
  3. 3.
    Johansson, R., Westling, G.: Roles of glabrous skin receptors and sensorimotor memory in automatic control of precision grip when lifting rougher or more slippery objects. Exp. Brain Res. 56, 550–564 (1984)CrossRefGoogle Scholar
  4. 4.
    Johansson, R., Westling, G.: Signals in tactile afferents from the fingers eliciting adaptive motor responses during precision grip. Exp. Brain Res. 66, 141–154 (1987)CrossRefGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2005

Authors and Affiliations

  • Rosana Matuk Herrera
    • 1
  • Fabio Leoni
    • 2
  1. 1.Department of Computer Science, Facultad de Ciencias Exactas y NaturalesUniversidad de Buenos AiresArgentina
  2. 2.ARTS LabScuola Superiore Sant’AnnaPisaItaly

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