If you are interested in learning more about training robots using machine learning techniques and technologies you might be interested in a new Arduino project to ascertain whether a basic robot ...
A wave of recent research has brought robotic touch sensitivity closer to human fingertips than ever before, driven by graphene-based composites and machine learning that let artificial skins detect ...
When we think about machine learning, our minds often jump to datacenters full of sweating, overheating GPUs. However, lighter-weight hardware can also be used to these ends, as demonstrated by ...
A robot, trained for the first time by watching videos of seasoned surgeons, executed the same surgical procedures as skillfully as the human doctors. The successful use of imitation learning to train ...
Researchers report building photonic computing chips that use light pulses to train spiking neural networks on robotic-control-style benchmark tasks, aiming to shift more of the learning workload from ...
University of Minnesota Twin Cities researchers have constructed a robot that uses machine learning to fully automate a complicated microinjection process used in genetic research. In their ...
Humanoid robots are beginning to take on household tasks, showing how AI-powered machines could soon assist with chores in ...
The microinjection robot detects embryos that are one-hundredth the size of a grain of rice, calculates a path, and automates the process. Credit: Andrew Alegria, University of Minnesota Twin Cities ...
Picture a robot capable of changing its shape on demand, squishing, bending, or stretching to perform various tasks like navigating tight spaces or retrieving objects. While this may sound like ...
ASU and Freeport are building robots and sensors to speed copper sorting and shrink processing waste in Arizona.
Industrial robot adoption has reached a point of no return. Automated machinery has become an industry standard and will only become increasingly common as time goes on. As this trend continues, ...