A team of researchers specializes in SLAM, or simultaneous localization and mapping, the technique whereby mobile autonomous robots map their environments and determine their locations. Now these ...

A deep-learning based object recognizer first detects all relevant objects in the robot's environment. Then, the position of the object is determined by a specially trained autoencoder and refined by ...

If you want high performance AI inference, such as Super-Resolution Object Detection and Recognition, in your SoC the challenge is to find a solution that can meet your needs and constraints. You need ...

This capability is achieved through image processing and object recognition, which empower robots to perform tasks such as navigation, obstacle avoidance, and even interaction with humans. Debian, ...

Google is releasing a new TensorFlow object detection API to make it easier for developers and researchers to identify objects within images. Google is trying to offer the best of simplicity and ...

Getting computers to recognize objects has been a historically difficult problem in computer science, but with the rise of machine learning it is becoming easier to solve. One of the tools that can be ...