Safety is paramount with collaborative robots and they can be made safer with machine vision and artificial intelligence technology.
West Virginia University’s robotic drilling team won NASA’s Moon to Mars Ice & Prospecting Challenge for the second time in three years with the Mountaineer Ice Drilling Automated System III (MIDAS III).
Artificial intelligence (AI) is an efficient method of teaching an industrial robot new skills.
In labor-constrained industries, collaborative robots could boost productivity.
Case study: Collaborative robots at a thermal wrap manufacturing company deliver a zero-defect rate while doubling production output. Installation, integration and use has been a do-it-yourself (DIY) project.
Probabilistic roadmaps (PRMs) help to create collision-free paths for collaborative robots and refers to the set of random points in the configuration space within which the planner knows the collaborative robot can safely move.
Small- and medium-sized enterprises (SMEs) are turning to collaborative robots to increase flexibility on the plant floor, and companies are looking to improve the technology behind the robots. In a flexible robot cell, the installation and commissioning time is reduced by up to 90%.
While collaborative robots are starting to be accepted within the manufacturing sector, safety is still a concern for many. Learn how several companies are working to address the safety issue and address misconceptions.
3-D machine vision lets a robot sense, process information and mimic the way two humans adjust to working around each other.
Machine vision technologies are helping the agricultural industry prevent food losses by giving farmers a better look at their crops' health.