The IDC FutureScape Report: Worldwide Robotics 2017 Predictions

IDC predicts a compound annual growth rate of 17% to reach a global total market for robotics around $135 billion by 2019.

Autopilot vs. Autonomous

A fully autonomous automobile is able to decide whether it can safely enter an intersection. It is able to decide how to maneuver around other vehicles, people, and other moving objects.

Carnegie Mellon Successfully Exploiting Manufacturing Robots

The team wanted to use the robot to transform complex 3D designs from concept to physical reality in machine foam and other soft materials.

Sensitive Environment Robots

Because of their enclosed structure with all the cables routed internally, the robots are ideally equipped to handle even the most extreme conditions.

Japan Robots Riding on the Concept of Entertainment, Ease of Life and Engaging

The world's biggest robots ever made were unveiled by Japanese company On-Art Corp., wants to use them to build a tourist park called Dino -A-Live.

Quick Overview of 4D Graphics

The 4 in the 4D represents the additional level of visual process information available, "Making the invisible - visible." This means that on the screen the user receives 3D visualization of the robot's movement.

Innovative Robotic Technology Improves Safety in Hazardous Locations

UL and Shell collaborate on a robot that performs inspections in the most challenging environments.

Going Where No Man Has Gone Before: What Does the Future Hold for Automation in the Service Industry?

Most service organisations are still at the stage of small scale trial RPA deployments summarised as "if x is true, then click button y". So how do we go on our voyage of discovery, and move from where we are now to a more automated enterprise?

AI-powered Motion

Unlike other solutions, AImotive's full stack software uses the power of artificial intelligence to "see" fine detail and predict behavior, making it easier to manage common driving concerns such as poor visibility and adverse conditions.

Deep-Domain Conversational AI

Deep-Domain Conversational AI describes the AI technology which is required to build voice and chat assistants which can demonstrate deep understanding of any knowledge domain.

Who's Driving That Truck?

While self-driving cars get most of the credit for capturing the public's imagination, autonomous or nearly autonomous tractor-trailers are starting to move goods across the world's highways.

Developing Communications and Mapping for a New Generation of Driverless Cars

The development of driverless cars brings a wide set of capabilities together. From secure cloud-based mapping to next generation communication systems, there are many new ways to provide navigation for driverless systems.

Utilizing MapleSim to Improve Assisted Living Devices

We took biomechanical data from actual human trials and applied them to a robotic model that mimics human movements when transitioning between sitting and standing positions.

Dual Check Safety Improves Stop Position Prediction

The process of having employees work alongside robots is constantly improving. While this change may seem to be a small change, it does give more space for actual collaboration.

RR Floody's Powerful New Flexible Feeder System Pairs Mitsubishi Electric Robot and Cognex Vision System

With manufacturers more and more concerned about being able to change product and component mix on the fly, they are demanding a more flexible feeder bowl solution that allows for changing component recognition without expensive and time-consuming retooling of the system every time.

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Maplesoft - Free Whitepaper: Developing a Robot Model using System-Level Design

Maplesoft - Free Whitepaper: Developing a Robot Model using System-Level Design

This paper uses NAO, the humanoid robot from Aldebaran Systems, to demonstrate how MapleSim can be used to develop a robot model, and how the model can be further analyzed using the symbolic computation engine within Maple.