Abstract
At present, autonomous, robotic dexterous manipulation in unknown environments still eludes us. Children only a few years old lift and manipulate unfamiliar objects more dexterously than today’s robots. Thus, robotics researchers increasingly agree that ideas from biology can strongly benefit the design of autonomous robots.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Israelsson, A.: Simulation of responses in afferents from the glabrous skin during human manipulation. Master’s thesis, Master thesis in Cognitive Science, Umeå University, Umeå, Sweden (2002)
Johansson, R.: Sensory and memory information in the control of dexterous manipulation. In: Lacquaniti, F., Viviani, P. (eds.) Neural Bases of Motor Behaviour, pp. 205–260. Kluwer Academic Publishers, Dordrecht (1996)
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)
Johansson, R., Edin, B.: Mechanisms for grasp control. Restoration of Walking for Paraplegics Recent Advancements and Trends, 57–63 (1992)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2011 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Herrera, R.M. (2011). Tactile Afferent Simulation from Pressure Arrays. In: Groß, R., Alboul, L., Melhuish, C., Witkowski, M., Prescott, T.J., Penders, J. (eds) Towards Autonomous Robotic Systems. TAROS 2011. Lecture Notes in Computer Science(), vol 6856. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-23232-9_55
Download citation
DOI: https://doi.org/10.1007/978-3-642-23232-9_55
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-23231-2
Online ISBN: 978-3-642-23232-9
eBook Packages: Computer ScienceComputer Science (R0)