✦ LIBER ✦

Manipulation of a fragile object by elderly individuals

✍ Scribed by Stacey L. Gorniak; Vladimir M. Zatsiorsky; Mark L. Latash

Publisher: Springer-Verlag
Year: 2011
Tongue: English
Weight: 403 KB
Volume: 212
Category: Article
ISSN: 0014-4819
DOI: 10.1007/s00221-011-2755-3

No coin nor oath required. For personal study only.

📜 SIMILAR VOLUMES

Manipulation of a fragile object

✍ Stacey L. Gorniak; Vladimir M. Zatsiorsky; Mark L. Latash 📂 Article 📅 2009 🏛 Springer-Verlag 🌐 English ⚖ 686 KB

Autonomous Shape Control of a Deformable

Autonomous Shape Control of a Deformable Object by Multiple Manipulators

✍ Jadav Das; Nilanjan Sarkar 📂 Article 📅 2010 🏛 Springer Netherlands 🌐 English ⚖ 648 KB

Individuation of objects – a problem for

Individuation of objects – a problem for structuralism?

✍ Jessica Carter 📂 Article 📅 2005 🏛 Springer Netherlands 🌐 English ⚖ 118 KB

Manipulation of Individual Carbon Nanotu

Manipulation of Individual Carbon Nanotubes by Reconstructing the Intracellular Transport of a Living Cell

✍ Cerasela Zoica Dinu; Shyam Sundhar Bale; Douglas B. Chrisey; Jonathan S. Dordick 📂 Article 📅 2009 🏛 John Wiley and Sons 🌐 English ⚖ 299 KB

Dynamics and Cooperative Object Manipula

Dynamics and Cooperative Object Manipulation Control of Suspended Mobile Manipulators

✍ Mahdy Eslamy; S. Ali A. Moosavian 📂 Article 📅 2010 🏛 Springer Netherlands 🌐 English ⚖ 1004 KB

Recognition of manipulated objects by mo

Recognition of manipulated objects by motor learning with modular architecture networks

✍ Hiroaki Gomi; Mitsuo Kawato 📂 Article 📅 1993 🏛 Elsevier Science 🌐 English ⚖ 959 KB

For recognition and control of multiple manipulated objects, we present two learning schemes for neuralnetwork controllers based on fi, edback-error-learning and modular architecture. In both schemes, the network consists of a recognition network and modular control networks. In the first scheme, a