CNC, Motion Control
Adding machine vision and artificial intelligence (AI) to 3-D printing allows industrial printers to produce products that have never been printed before.
Researchers at the USC Viterbi Center for Advanced Manufacturing have identified an algorithm designed to provide robots short, collision-free solutions in complex manufacturing spaces.
Electromechanical systems offer advantages over hydraulic and pneumatic actuators
MIT engineers, along with the Ford Motor Company, have developed a navigation method for robots that enables a robot to use clues in its environment to plan out a route to its destination, which can be described in general semantic terms rather than coordinates on a map.
A team from MIT’s Computer Science and Artificial Intelligence Laboratory (CSAIL) have developed self-assembling robotic cubes that can climb over and around one another, leap through the air, roll across the ground, and identify each other.
SKF Motion Technologies, formerly part of the SKF Group, is now known as Ewellix: Makers in Motion, effective immediately.
Researchers at MIT have developed a system where robots “learn” from a dataset called Omnipush that captures how pushed objects move to improve their physical interactions with new objects.
Logistics operations must be able to process massive databases of SKUs and information and enhancements in machine vision can help improve efficiency.
A team led by scientists at the University of Washington has designed and tested a 3D-printed metamaterial that can manipulate light with nanoscale precision, which could have a major effect on autonomous transportation as well as optical elements for displays and sensors in VR or AR headsets.
MIT researchers are working on developing systems of tiny robots that may someday build high-performance structures, from airplanes to space settlements.