A Database for Learning Numbers by Visual Finger Recognition in Developmental Neuro-Robotics
نویسندگان
چکیده
منابع مشابه
A Developmental Framework for Visual Learning in Robotics
In this paper we are investigating a developmental learning strategy for robotic applications. Two approaches based on Isomap dimensionality reduction and on feature-based learning are investigated. In the training phase, the robot is presented with objects (e.g. squares, circles) and labels regarding their properties (e.g. shape, size, orientation). From these the system learns a representatio...
متن کاملMachine learning for developmental robotics
Developmental robotics is the process whereby a robot incrementally acquires more and more complex cognitive skills. This approach draws inspiration from biology to tackle the ultimate goal of robotics, i.e. intelligent robust machines operating in open ended environments. The main idea is to equip the robot with a set of predefined (pre-programmed) skills and then follow learning processes to ...
متن کاملStaged Competence Learning in Developmental Robotics
Developmental psychology has long recognized the presence of stages in human cognitive development , although the underlying causes and processes are still an open question and subject to much debate. This article draws inspiration from psychology and describes an approach towards developmental growth for robotics that utilizes natural constraints in a general learning mechanism. The method, su...
متن کاملMachine learning based Visual Evoked Potential (VEP) Signals Recognition
Introduction: Visual evoked potentials contain certain diagnostic information which have proved to be of importance in the visual systems functional integrity. Due to substantial decrease of amplitude in extra macular stimulation in commonly used pattern VEPs, differentiating normal and abnormal signals can prove to be quite an obstacle. Due to developments of use of machine l...
متن کاملIntegrative Learning between Language and Action: A Neuro-Robotics Experiment
The current paper introduces a model for associative learning between linguistic modality and behavior modality. The model constitutes of language and behavior modules both of which are implemented with a hierarchical dynamic network model and they interact densely through hub-like neurons, the parametric biases (PB). By implementing this model to a humanoid robot in the task of multiple object...
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: Frontiers in Neurorobotics
سال: 2021
ISSN: 1662-5218
DOI: 10.3389/fnbot.2021.619504