Matt Shipman
Matt Shipman, research communications lead, North Carolina State University
Articles
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.
Formula tackles complex moral decision-making for AI
A blueprint for creating algorithms that more effectively incorporate ethical guidelines into artificial intelligence (AI) decision-making programs has been developed.
Helping autonomous vehicles navigate tricky highway merges
If autonomous vehicles are ever going to achieve widespread adoption, we need to know they are capable of navigating complex traffic situations, such as merging into heavy traffic when lanes disappear on a highway.
Approach to federated learning developed for creating AI models faster
North Carolina State University researchers have developed an approach to federated learning that allows them to develop accurate artificial intelligence (AI) models more quickly.
Twisted soft robots navigate mazes without human or computer guidance
Researchers have developed soft robots that are capable of navigating complex environments without input from humans or computer software. See video.