Abstract Lifelong Deep Neural Network (L-DNN) technology revolutionizes Deep Learning
by enabling fast, post-deployment learning without extensive training, heavy computing …

Methods and systems are described for new paradigms for user interaction with an
unmanned aerial vehicle (referred to as a flying digital assistant or FDA) using a portable …

Abstract Systems and methods are disclosed for tracking objects in a physical environment
using visual sensors onboard an autonomous unmanned aerial vehicle (UAV). In certain …

Disclosed herein are neural networks for generating target classifications for an object from
a set of input sequences. Each input sequence includes a respective input at each of …

Examples disclosed herein relate to an autonomous driving system in a vehicle, including a
radar system with a reinforcement learning engine to control a beam steering antenna and …

An autonomous mobile device (AMD) follows a user who may move among other people,
change orientation, or move in and out view of a camera on the AMD. A predicted location of …

Embodiments relate to a first processing node that processes an input data having a
temporal sequence of spatial patterns by retaining a higher-level context of the temporal …

Provided are a mobile robot device and a control method thereof. The mobile robot device
comprises: a driving unit; an image sensor; a plurality of geomagnetic sensors; a memory for …