scholarly journals Learning in robotics. Learning Goal-directed Behaviour as Dynamical System for Sensory Motor System.

1995 ◽  
Vol 13 (1) ◽  
pp. 75-81 ◽  
Author(s):  
Naohiro Fukumura ◽  
Jun Tani
Keyword(s):  
Dynamical System ◽  
Motor System ◽  
Learning Goal ◽  
Sensory Motor

RESTCub: A Language Independent Middleware for Cognitive Robot

2020 ◽  
Vol 17 (05) ◽  
pp. 2050020
Author(s):  
Muhammad Ali Dildar ◽  
Muhammad Asif ◽  
Asma Kanwal ◽  
Maaz Bin Ahmad ◽  
Syed A. Gilani
Keyword(s):  
Human Behavior ◽  
Operating Systems ◽  
Experimental Analysis ◽  
Motor System ◽  
Research Work ◽  
Coupled System ◽  
Level Control ◽  
Proposed Model ◽  
Sensory Motor ◽  
A Minor

Since the last few decades, research in the area of robotics technology has been emphasizing in the modeling and development of cognitive machines. A cognitive machine can have multiple cognitive capabilities to be programmed to make it artificially intelligent. Numerous cognitive modules interact to mimic human behavior in machines and result in such a heavily coupled system that a minor change in logic or hardware may affect a large number of its modules. To address such a problem, several middlewares exist to ease the development of cognitive machines. Although these layers decouple the process of logic building and communication infrastructure of modules, they are language-dependent and have their limitations. A cognitive module developed for one research work cannot be a part of another research work resulting in the re-invention of the wheel. This paper proposes a RESTful technology-based framework that provides language-independent access to low-level control of the iCub’s sensory-motor system. Moreover, the model is flexible enough to provide hybrid communications between cognitive modules running on different platforms and operating systems. Furthermore, a cognitive client is developed to test the proposed model. The experimental analysis performed by creating different scenarios shows the effectiveness of the proposed framework.

scholarly journals Insights and Perspectives on Sensory-Motor Integration and Rehabilitation

2016 ◽  
Vol 29 (6-7) ◽  
pp. 607-633 ◽  
Author(s):  
Rochelle Ackerley ◽  
Michael Borich ◽  
Calogero Maria Oddo ◽  
Silvio Ionta
Keyword(s):  
Nervous System ◽  
Motor System ◽  
Neural Mechanisms ◽  
Motor Disorders ◽  
Motor Rehabilitation ◽  
Motor Abilities ◽  
Somatosensory Feedback ◽  
Sensory Motor ◽  
Work Supports ◽  
Fine Tune

The present review focuses on the flow and interaction of somatosensory-motor signals in the central and peripheral nervous system. Specifically, where incoming sensory signals from the periphery are processed and interpreted to initiate behaviors, and how ongoing behaviors produce sensory consequences encoded and used to fine-tune subsequent actions. We describe the structure–function relations of this loop, how these relations can be modeled and aspects of somatosensory-motor rehabilitation. The work reviewed here shows that it is imperative to understand the fundamental mechanisms of the somatosensory-motor system to restore accurate motor abilities and appropriate somatosensory feedback. Knowledge of the salient neural mechanisms of sensory-motor integration has begun to generate innovative approaches to improve rehabilitation training following neurological impairments such as stroke. The present work supports the integration of basic science principles of sensory-motor integration into rehabilitation procedures to create new solutions for sensory-motor disorders.

TOWARDS MODELLING THE HUMAN SENSORY MOTOR SYSTEM

2006 ◽  
Vol 39 (18) ◽  
pp. 399-404
Author(s):  
David Guiraud ◽  
Christine Azevedo ◽  
Ken Yoshida ◽  
Philippe Poignet ◽  
Mohammed Samer ◽  
...  
Keyword(s):  
Motor System ◽  
Sensory Motor
Sign in / Sign up

Export Citation Format

Share Document