Up next—automated robot teaching! 🤖
We're announcing our collaboration with NEC Corporation to accelerate smart factory innovation. How? By using automated robot teaching to accelerate digital transformation (DX) in manufacturing.
Through our Technology Partner Program Agreement with NEC, we'll help expand global solutions in the field of robot 3D simulation, as we will jointly develop a robot teaching automation solution that combines the "NEC Robot Task Planning" digital twin service with our Process Simulate software (from the Tecnomatix portfolio) to help manufacturing customers optimize worksite operations, improve productivity and transition to fact-driven management.
"At Siemens, we are proud to support NEC in advancing global leadership in robotics using the power of digital twin technology and AI," said Kuni Horita, our country manager and VP for Japan. "By integrating NEC’s cutting-edge Robot Task Planning solution with Siemens’ Process Simulate, we enable manufacturers to dramatically accelerate robot teaching, reduce setup time and unlock new levels of productivity. This collaboration demonstrates how Siemens’ commitment to digital transformation and intelligent automation is helping our customers and partners like NEC deliver smarter, faster and more resilient manufacturing solutions to customers worldwide."
“Through this collaboration, we will bring innovation to manufacturing in the DX era by integrating the NEC Robot Task Planning digital twin—which promotes on-site optimization through AI-driven digitization, analysis and simulation in digital spaces—with Siemens' Process Simulate software,” said Kosuke Hidashima, general manager, Technology Services Software Division, NEC. “Together, we will create value as we contribute to our customers' enhanced productivity and competitiveness.”
Delivered as part of NEC’s BluStellar initiative, the NEC Robot Task Planning software is equipped with a proprietary algorithm that optimizes the coordinated operation of multiple robots and automatically generates robot motion plans using AI. Traditionally, planning the motion of multiple robots was done manually by skilled engineers using a process known as teaching. This process is extremely complex, and in manufacturing sites, designing the motion plan for robots to produce a single product requires substantial cost. As a result, there are many delays in launching production lines that use multiple robots.
For more on the details, visit the link in the comments 🔗.