The Robotic Industries Association (RIA)'s annual Engelberger Robotics Awards were given to Catherine Morris and Dr. Howie Choset.
Researchers at multiple universities are developing and researching potential uses for robots in industries such as inspection, medical, and automotive.
Collaborative robots offer pharmaceutical applications greater reliability, consistency, and precision and can improve safety.
MIT researchers have developed a learning-based particle simulator, could give industrial robots a more refined touch and help them make predictions about interacting with solid objects and liquids.
Inspection robots feature advanced vision systems and are in high demand in critical infrastructure applications and industries such as oil & gas and the petrochemical industries.
Collaborative robots have come a long way in the last several years and recent innovations such as embedded vision and machine learning have allowed them to do more.
Professional service robots feature some degree of autonomy and mobility for unstructured environments and offer many potential benefits for end users.
Collaborative robots are useful for CNC machine tending applications because they can be deployed quickly and can improve productivity on the plant floor.
There are many tools and programs designed to make industrial robots more accurate and precise for demanding manufacturing applications.
The agricultural industry is turning to robots to meet the soaring demand for consumers and replace traditionally manual jobs to improve production.