The article discusses the critical need for low-latency architectures in collaborative robots (cobots) to ensure safety and efficiency in high-mix assembly environments, highlighting the limitations of traditional cloud-based systems and PLCs. It advocates for moving AI processing to the edge, allowing real-time adjustments to robot behavior based on human movements, thus enhancing collaboration without compromising safety or productivity.
For someone in the robotics field, the key insight from this content is the critical importance of adopting edge-first architectures for collaborative robots (cobots) to reduce latency and improve safety and productivity. By processing AI inferences directly at the edge and bypassing legacy PLC systems, you can achieve real-time speed and separation monitoring (SSM) below 30 ms, enabling dynamic and adaptive collaboration in high-mix environments. This approach not only enhances safety but also maintains throughput by minimizing the need for stop-and-go operations.