Unlock the potential of pre-engineered cobot systems to enhance automation in manufacturing. With their adaptability and ease of use, these solutions address labor shortages and drive impressive ROI, making now the perfect time to invest in customized automation for your business.
Many manufacturers miss out on automation’s potential for improving quality. To achieve these gains, quality must be prioritized from the business case to sourcing and implementation.
Manufacturers can significantly enhance product quality through automation, potentially reducing quality issues by 50-75%. However, to achieve these improvements, companies must integrate quality control systems, understand the costs of quality issues, and clearly define quality goals when sourcing automation solutions.
A recent Idera report reveals that many industries view artificial intelligence positively. Judy Bossi, Vice President of Product Management at Idera, discusses AI's potential in quality assurance (QA), the challenges to adoption, and steps to effectively implement the technology.
Autonomous systems, collaborative robots, AI-driven robotics applications and sustainable robotics are shaping a new era of automation and human-robot interaction.
Robotics is rapidly advancing from science fiction to practical uses across industries like manufacturing, logistics, and healthcare. Key trends include autonomous systems operating independently, robots collaborating with humans for improved productivity and safety, and AI integration that allows robots to learn and adapt. This technology enables both large enterprises and SMEs to optimize processes and meet growing demands.
Reed Switch Developments Corp. (RSD), a woman-owned manufacturer in Racine, WI, specializes in magnetic reed switches and sensors. Recognized as last year’s Quality Plant of the Year, RSD has achieved a 25% increase in sales year-to-date, leveraging in-house technical expertise and automation to manage growth amid rising costs and economic uncertainty.
Initially seen as science fiction, machine vision in manufacturing faced hesitance due to high costs and lack of awareness. However, interest has surged, shifting the focus from "Can it be done?" to "How will we do it?" This reflects significant transformative changes in the industry.
Automated processes are vital in industrial production, with robots handling finished products and sorting parts for quality assurance. Equipped with 3D cameras and machine vision, they accurately identify and grasp items from disordered bins.
GWANGJU, South Korea—Cats have inspired engineers at the Gwangju Institute of Science and Technology to develop a vision system that enhances accuracy in challenging environments.
As robotics use grows throughout processing, packaging, and logistics environments, it’s important to understand your options — and how to keep up with safety guidelines.
As robots gain prevalence in manufacturing, emphasizing their safe use is vital. This includes understanding safety features, challenges, and best practices across all robot types, such as industrial, collaborative (cobots), autonomous mobile (AMRs), and humanoid robots, to navigate their complexities effectively.