Treffer: Automating Robotic Workflows with Cloud DevOps Frameworks

This research automates robotic operations using Cloud DevOps frameworks to improve robotic system efficiency, scalability, and innovation. The main goals are to examine the pros and cons of Continuous Deployment (CD) in robotics and design implementation solutions. Cloud computing, DevOps, and robotic systems literature are reviewed using secondary sources to identify trends, difficulties, and best practices. Significant results show that Cloud DevOps frameworks increase productivity and reliability by providing quick, automatic upgrades, real-time data processing, edge computing, and strong security. Robotic system complexity, security threats, and specialist expertise limit the integration procedure. Policy implications include vital security requirements for cloud-based robotic systems, robotics and DevOps education and training funding, and research into merging new methods with ancient systems. Addressing these restrictions via specific rules and practices may improve robotic operations and develop automation technology.