Electrical engineers have developed a faster collision detection algorithm that uses machine learning to help robots avoid moving objects and weave through complex, rapidly changing environments in real time.
Researchers have developed a 'real-time-avatar-robotic arm' that transmits sound, vision, and highly sensitive feelings of touch to remotely located users. This innovative touch sensitive robotic technology is expected to find applications in areas such as industrial manufacturing, harvesting farm produce, and nursing care.
Researchers report the first application of quantum computing to a physics problem. By employing quantum-compatible machine learning techniques, they developed a method of extracting a rare Higgs boson signal from copious noise data.
Engineers have developed a flexible sensor 'skin' that can be stretched over any part of a robot's body or prosthetic to accurately convey information about shear forces and vibration that are critical to successfully grasping and manipulating objects.