AI, machine learning, and advanced sensors for AMRs
1 April 2024
Introduction
The combination of artificial intelligence and machine learning has a significant impact on the evolution of AMRs. "Implementing advanced algorithms based on artificial intelligence," affirms Mark Olding, Chief Commercial Officer of Exor International, "can enhance the perception capabilities of AMRs, enabling more intelligent and adaptable navigation. This, coupled with the integration of advanced sensors, can lead to greater operational efficiency and the ability to anticipate environmental needs."
Efficiency and precision in material transport
Exor and Corvina, a company offering Servitization and Digitalization solutions through the CORVINA IoT Platform, have been involved in several successful applications that have directly benefited from the implementation of mobile robotics solutions. For example, adopting AMRs for logistics operations has significantly improved efficiency and precision in material transport management. Thanks to the integration of advanced sensors, downtime has been reduced, maintenance needs can be predicted, and workplace safety has been enhanced. "Successful applications of mobile robotics," emphasizes Olding, "include autonomous material transport in industrial or logistical environments, such as warehouses and manufacturing plants. Companies implementing mobile robotics solutions often see improvements in operational efficiency, reduced downtime, and workflow optimization."
Advanced performance and user-friendliness
Exor International offers advanced solutions for mobile robotics in manufacturing and logistics. "Our focal points," emphasizes Olding, "revolve around the use of innovative technologies, integration of intelligent systems for control and navigation, and a focus on safety and operational efficiency. Our Corvina platform provides remote monitoring capabilities, diagnostic management, and intuitive integration with our hardware solutions. This allows us to offer a combination of advanced performance and user-friendliness."
