CES 2017: ITRI Demonstrates Intelligent Vision System For Robots And Drone Fleet Management System

Posted: Dec 10 2016, 11:57am CST | by , Updated: Dec 11 2016, 9:27pm CST, in News | CES

 

CES 2017: ITRI Demonstrates Intelligent Vision System for Robots and Drone Fleet Management System
ITRI's Intelligent Vision System enables a companion robot to play chess at CES 2017
  • ITRI will bring an IA robot and drone to CES 2017
 

The Industrial Technology Research Institute (ITRI) is Taiwan’s largest applied technology research institute.

The Industrial Technology Research Institute (ITRI) just announced it will be attending CES 2017 with not one but two innovations. ITRI is Taiwan's largest and one of the world's leading research institutions.

The two cutting-edge technologies by ITRI to be demonstrated at CES 2017 include a robot and a drone. According to their official announcement the robot is an Intelligent Vision System for Companion Robots, while their drone is made with a special ICT Solution for Drones.

According to ITRI their robot will be able to play chess and even have coffee with the attendees at CES 2017. On the other hand the drone by ITRI has a drone fleet management system which enables it to be managed and charged from any distance.

ITRI states their Intelligent Vision System has enabled all their tech like the robots to be able to interpret the visual world. In this way they can perceive objects. This will be demonstrated when the robot at CES will distinguish between various chess pieces and their locations.

Similarly ITRI used their Smart Grip Technology to make sure the robots can interact with each other. The robots can not only perceive objects based on size, shape, color and location, but also grip objects along with avoiding collisions with other objects.

ITRI will demonstrate this by showing how their robot will fill up cups with coffee while at different locations throughout their exhibit. The Intelligent Vision System by ITRI also enables the robot to adapt itself along with changing conditions.

The robot can subsequently change its behavior and perform various tasks. The performance is based on randomly changing parameters and human events, evaluated by the robot itself.

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