Adding a robotic system enabled Groupe Gravel, a metal fabricator, to profitably automate cutting and welding for high-mix short-batch production. Robotmaster's tools enabled automatic path creation from CAD models drastically improved programming time.
Because LiDAR uses light, the target must be visible, so it is not an all-weather solution. It won't work well in fog or other weather conditions that affect visibility, but if conditions are clear, it can operate during both day and night.
The insect drone takes on the functions of larger UAVs, but reduces the larger drones down into a miniature undetectable device.
IDC predicts a compound annual growth rate of 17% to reach a global total market for robotics around $135 billion by 2019.
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.
The team wanted to use the robot to transform complex 3D designs from concept to physical reality in machine foam and other soft materials.
Because of their enclosed structure with all the cables routed internally, the robots are ideally equipped to handle even the most extreme conditions.
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.
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.
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?
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 describes the AI technology which is required to build voice and chat assistants which can demonstrate deep understanding of any knowledge domain.
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.
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.
Records 406 to 420 of 1036
App Your Sensor®! What would smartphones be without apps? They would be mobile phones that can't do much more than make phone calls and sending SMS. Apps turn smartphones into intelligent assistants with any number of different tasks. Transferred into the world of image processing, this app-based approach transforms cameras and sensors into customised, smart vision sensors.