Companies asked to produce customized products require being productive and cost effective when manufacturing at a lower volume or performing tasks in dangerous environments.To get more news about Robotics as a Service, you can visit glprobotics.com official website.
Robots can be used to increase productivity in manufacturing, but the typical robot is highly specialized for a particular task. It’s ill-suited to the evolving requirements of a manufacturing plant that might have 25 assembly lines and produces a diverse range of products. Capgemini helps create flexible solutions for use in industrial environments, assisting employees with some of their most challenging tasks.

Capgemini integrates its TRY software, machine learning and Intel technology with leading robotics innovators to create flexible and programmable robotic solutions that help manufacturers and other technology businesses assist workers, increase productivity and improve ROI. Capgemini’s Robotics as a Service (RaaS) enables businesses to affordably procure, adapt and deploy robots for use cases across many different industries using a flexible AI enhanced service model.
This service model affordably deploys single purpose or multi-use programmable robots to perform different tasks, and assists employees by performing repetitive,mundane and dangerous activities.
Using extensive industry experience, Capgemini analyzes customer needs and identifies how robots can help. The robots can use sensor or video processing and computer vision to recognize products, defects, and specific situations or events. Robots are connected wirelessly to an Intel IoT Gateway, which hosts the Capgemini XIoT platform. The open source XIoT software sends the data from the robot to the cloud, where Capgemini analytics software processes the collected data. Users can analyze the number of tasks completed, task success rate, robot sensor data, and additional operational data used for robot predictive maintenance. Data in the cloud can be used with various Artificial Intelligence or big-data platforms to augment the robot’s capabilities. For example, an IBM Watson artificial intelligence platform could be used to help identify products along the production line, or help recognize manufacturing flaws. The cloud can also be used for voice processing, so that the robot can be controlled using spoken commands.Unlike a simple rental agreement, under a RaaS contract, Capgemini and their partners are responsible for delivering the robotic capabilities required, including installation, configuration, and staff training.