We trained a Sidewalk Obstacle Avoidance Agent (SOAA) through reinforcement learning in a simulated robotic environment.
At the heart of this progress is convolutional neural networks (CNNs) that are capable of learning representations or features given a set of data.
This work identifies and advances some research challenges in the analysis of facial features and their temporal dynamics with epistemic mental states in dyadic conversations.
This paper presents "SafeNet"- an integrated assistive system to generate context-oriented image descriptions to assess incoming threats.
SafeAccess is an integrated system designed to provide easier and safer access to a smart home for people with or without disabilities.
One of the challenges in modeling cognitive events from electroencephalogram (EEG) data is finding representations that are invariant to inter- and intra-subject differences, as well as to inherent noise associated with such data.