This development may indicate a shift towards more energy-efficient industrial automation, which could benefit the environment and reduce operational costs. The use of AI and reinforcement learning suggests a potential for increased adoption of these technologies in industrial settings, which may lead to improved productivity and competitiveness.
Collaboration Aims To Reduce Industrial Robot Energy Use
ABB and researchers from Salzburg University of Applied Sciences have collaborated on an AI system to reduce energy use in industrial robots. The system utilizes reinforcement learning to optimize motion control and minimize energy losses. This development is part of an ongoing effort to apply academic research to practical industrial solutions, as reported by Robotics & Automation News.
This development may indicate a shift towards more energy-efficient industrial automation, which could benefit the environment and reduce operational costs. The use of AI and reinforcement learning suggests a potential for increased adoption of these technologies in industrial settings, which may lead to improved productivity and competitiveness.
Collaboration Aims To Reduce Industrial Robot Energy Use
ABB and researchers from Salzburg University of Applied Sciences have collaborated on an AI system to reduce energy use in industrial robots. The system utilizes reinforcement learning to optimize motion control and minimize energy losses. This development is part of an ongoing effort to apply academic research to practical industrial solutions, as reported by Robotics & Automation News.