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Found 6 papers, 1 papers with code
Utilization of Non-verbal Behaviour and Social Gaze in Classroom Human-Robot Interaction Communications
This abstract explores classroom Human-Robot Interaction (HRI) scenarios with an emphasis on the adaptation of human-inspired social gaze models in robot cognitive architecture to facilitate a more seamless social interaction.
Spiking Approximations of the MaxPooling Operation in Deep SNNs
MaxPooling layers in Convolutional Neural Networks (CNNs) are an integral component to downsample the intermediate feature maps and introduce translational invariance, but the absence of their hardware-friendly spiking equivalents limits such CNNs' conversion to deep SNNs.
Active Perception and Representation for Robotic Manipulation
It also enables them to view objects from different distances and viewpoints, providing a rich visual experience from which to learn abstract representations of the environment.
Significance of feedforward architectural differences between the ventral visual stream and DenseNet
In particular, I made a number of changes to the ventral-stream-based architecture, to make it more like a DenseNet, and tested performance at each step.
A dataset of 40K naturalistic 6-degree-of-freedom robotic grasp demonstrations
Modern approaches to grasp planning often involve deep learning.
Convolutional Neural Networks Regularized by Correlated Noise
Neurons in the visual cortex are correlated in their variability.
