Matt Shipman
Matt Shipman, research communications lead, North Carolina State University
Articles
Soft robot developed to navigate complex obstacles
North Carolina State University researchers have created a “brainless” soft robot that can navigate more complex and dynamic environments. See video.
Robot platform designed to develop range of semiconductor materials
Researchers have created RoboMapper, which can conduct experiments to develop a range of semiconductor materials with desirable attributes.
AI framework helps boost teamwork training
Researchers have developed an AI framework that is better at analyzing and categorizing dialogue to make teamwork easier.
Method improves vision transformer AI system efficiency
North Carolina State researchers are working on improving vision transformers' (ViTs) efficiency so they can simplify their computing power and make their decision-making abilities more transparent.
Robot caterpillar demonstrates approach to locomotion for soft robotics
A caterpillar-like soft robot that can move forward, backward and dip under narrow spaces has been developed.
Wheeled robot measures leaf angles to help corn plants
Researchers have demonstrated an automated technology capable of accurately measuring the angle of leaves on corn plants in the field, providing farmers with useful data more quickly.
Elastic material impervious to gases, liquids developed
Researchers have developed a technique that uses liquid metal to create an elastic material impervious to gases and liquids, which could help improve protection from gases.
Researchers demonstrate strain sensors for machine interface technology
Researchers have developed a stretchable strain sensor that combines sensitivity and range, allowing it to detect minor changes in strain than previous technologies.
Autonomous crawling ringbots navigate narrow gaps
Researchers at North Carolina State University have created a ring-shaped soft robot capable of pulling a small payload across the surface – in ambient air or under water, as well as passing through a gap narrower than its ring size. See video
Network pruning can skew deep learning models
North Carolina State University researchers learn that network pruning can adversely affect the performance of the model at identifying certain groups.