How Artificial Intelligence is used in Robotics
Artificial intelligence (AI) and robotics are revolutionizing manufacturing, providing scale, speed, and time-to-market advantages. According to the World Economic Forum, over 50% of manufacturers will adopt AI by 2025 as these technologies are proving effective in boosting shop floor efficiency, quality, and flexibility.
AI gives robotics programming and manufacturing platforms unprecedented adaptability, scale and speed. AI and robotics also are the catalysts that enable manufacturers to achieve more in less time and at a lower cost. Automating repetitive, dangerous, or ergonomically taxing manual tasks, including heavy lifting, materials handling, and assembly is just the start of these two technologies’ many contributions to manufacturing.
Integrating robotics and AI is paying off in manufacturing
- Automating manually repetitive, dangerous tasks
- Enabling mass customization and design-to-manufacturing
- Optimizing production planning
- Increasing predictive maintenance accuracy
- Improving quality control
Combining AI and robotics across shop floors also automates quality inspection, where AI helps reduce defects and scrap.
How DELMIA Robotics is defining the future of manufacturing
AI and robotics make the factories of the future smarter and more efficient. Manufacturers need to use these exponential technologies to gain a competitive advantage. DELMIA Robotics software helps manufacturers validate and optimize robot programming and simulation in a 3D collaborative environment before building the production system. This reduces the risk of failures, saves time and cost, and improves the performance and reliability of robots for various production processes.
DELMIA Robotics continues to contribute to manufacturers who benefit from and rely on it for digital continuity.
Read in detail at: The Interplay Between Robotics and Artificial Intelligence in Manufacturing
Why it matters to students:
Manufacturers are increasingly using new technologies, including the Industrial Internet of Things, robotics and additive manufacturing, artificial intelligence to eliminate waste and raise productivity. Students need to obtain the skills they need to work successfully in these factories of the future.
For students, this entails learning three nontraditional skills.
- The first challenge for students is learning to use the hybrid working system in combination with the technical assistance and cyberphysical systems
- The second is the seamless digital engineering environment. In the past, students only had to work with either CAD, process engineering or robot simulations, but now they have to work with all of these digital tools, which support advanced, world-class production technologies in a seamless development process.
- The third challenge is learning to manage intelligent products based on highly diverse customer requirements in self-steering production systems.
The way we work and learn is transforming at an accelerating pace, and that means major changes for both employers and employees. “Employees will have to have more knowledge in their fields because all kinds of work will require more information,” says Roberta Bigliani, a Milan-based specialist in future workforce issues at market intelligence firm IDC. “They will likely be working alongside digital coworkers powered by artificial intelligence that will help them perform their jobs.”
Jobs designed for people with highly specialized capabilities are clearly increasing, but the supply of qualified workers isn’t keeping pace and business leaders insist workforce preparation simply hasn’t kept up with the modern nature of jobs.
Self motivated students and young employees who will keep updating their skills to match industry demands have a bright future.
Edu
