A closed-loop neurobotic system for fine touch sensing
نویسندگان
چکیده
منابع مشابه
A closed-loop compressive-sensing-based neural recording system.
OBJECTIVE This paper describes a low power closed-loop compressive sensing (CS) based neural recording system. This system provides an efficient method to reduce data transmission bandwidth for implantable neural recording devices. By doing so, this technique reduces a majority of system power consumption which is dissipated at data readout interface. The design of the system is scalable and is...
متن کاملAttention Robustly Gates a Closed-Loop Touch Reflex.
Rats' large whiskers (macrovibrissae) are used to explore their nearby environment, typically using repetitive protraction-retraction "whisking" motions that are coordinated with head and body movements [1-8]. Once objects are detected, the rat can further explore the object tactually by using both the macrovibrissae and an array of shorter, stationary microvibrissae on the chin, as well as by ...
متن کاملA Closed-loop System for Pervasive Health
As life expectancy in the industrialized world increases, so does the number of elders with chronic health conditions such as diabetes and congestive heart failure that require complex self-management routines. The traditional model of episodic care in clinic and hospital-based settings is not optimal for improving chronic disease outcomes. Instead, solving these issues requires a low-cost long...
متن کاملLearning Object Recognition in a NeuroBotic System
Object localisation and identification is a crucial problem for advanced mobile service robots. We developed an object recognition system that localises and identifies objects using a colour-based visual attention control algorithm and a hierarchical neural network for object classification utilising hierarchical class grouping. The approach is evaluated in a test scenario where a robot is situ...
متن کاملA virtual closed loop method for closed loop identification
Indirect methods for identification of linear plant models on the basis of closed-loop data are based on the use of (reconstructed) input signals that are uncorrelated with the noise. This generally requires exact (linear) controller knowledge. On the other hand, direct identification requires exact plant and noise modelling (system in the model set) in order to achieve accurate results, althou...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Journal of Neural Engineering
سال: 2013
ISSN: 1741-2560,1741-2552
DOI: 10.1088/1741-2560/10/4/046019