Toyota, READY Robotics to introduce sim-to-real robotic programming in industrial manufacturing

READY ForgeOS, NVIDIA partner with Toyota to bolster safety, optimize Toyota's manufacturing process.


Toyota, READY Robotics sim-to-real robotic programming in industrial manufacturing
Toyota, READY Robotics and NVIDIA collaborate in effort to optimize and enhance safety in car manufacturer's aluminum hot forging production process.

READY Robotics is collaborating with Toyota Motor Corporation and NVIDIA to bring a leap forward in industrial robotics. Toyota will employ READY ForgeOS in tandem with NVIDIA Isaac Sim, a robotics simulator developed on NVIDIA Omniverse, to build a simulated robotic programming environment for its aluminum hot forging production lines.

This collaboration is set to enhance safety and efficiency in Toyota’s manufacturing processes. Typically, programming robotic systems for forging necessitates that the metal parts remain hot during programming, presenting significant safety challenges. With the integration of ForgeOS and NVIDIA Isaac Sim - an extensible application developed on the Omniverse platform for simulating, developing and testing robots - programming can now be accomplished in a simulated environment, eliminating the risks associated with hot parts.

Safeguards in the Toyota production process with ForgeOS

READY Robotics developed ForgeOS, the industrial OS for robots and automation as a time-saving automation solution that overcomes the obstacles faced by manufacturers. ForgeOS simplifies the programming process, reducing the typical complexities of robotic systems and enabling an easy-to-use experience for any industrial robotic manipulator.

READY has integrated ForgeOS with NVIDIA Isaac Sim to provide visual and physics-simulation fidelity, bringing realism to robotic simulations. With ForgeOS’ programming and NVIDIA’s simulation environments, Toyota can program and optimize complex robotic hot forging routines in simulations that capture the nuance of the complex hot forging processes.

“The unique architecture of ForgeOS allows for the sim-to-real workflow we need for this production line because it bridges NVIDIA Isaac Sim’s simulation capabilities with the control of our physical system,” said Kazuhiro Suzuki, Group Manager of Toyota Motor Corporation’s Raw Materials Development Division. “This means we can program in simulation, transfer that program, and then use ForgeOS to capture live production data and iteratively improve our processes.”

Once proven in the simulated environment, these programs can be transferred into the live production work cell, removing the necessity for programming in the physical installation itself, thereby reducing the concern for safety around hot parts. Since ForgeOS controls both the simulation and physical work cell, the program can be transferred and updated in seconds, minimizing downtime and making the work cell easier to maintain. 

Sim-to-real workflows with READY Robotics, NVIDIA

Another novel aspect of this “sim-to-real” workflow is ForgeOS’ ability to relay real-time production data from the cell on the factory floor back to the original NVIDIA Isaac Sim simulation. This forms a digital twin of the live cell, enabling visualizations of its current state and facilitating greater monitoring and oversight.

The combination of ForgeOS and NVIDIA Isaac Sim enables the creation of realistic programs for challenging programming tasks, especially those where safety is a concern. 

“NVIDIA provides the tools needed to help our programs reflect real-world situations, and ForgeOS provides the connection from this simulation to the real cell and back,” said Dr. Kel Guerin, Chief Innovation Officer at READY Robotics. “We are pleased to be working with SCSK, a leading Japanese IT services company and NVIDIA Omniverse partner, to bring this solution to Toyota.”

Machine learning, AI in manufacturing processes

Toyota’s collaboration with READY Robotics and NVIDIA aims to create a new process for how robotic automation is programmed and deployed with greater efficiency, usability, and safety, and it opens the opportunity for production data to be captured from automation systems for use in process monitoring and improvement, or even artificial intelligence applications.

“We are looking towards a future where machine learning and AI allow for advancements in our manufacturing processes, but everything starts with improving our current processes, all while simultaneously extracting the data out of the factory into simulation where it is useful,” Suzuki said.

“Simulating industrial processes in high fidelity prior to their real-world deployment can greatly improve productivity and safety while reducing costs,” said Deepu Talla, Vice President of Embedded and Edge Computing at NVIDIA. “The collaboration between Toyota and READY Robotics is a great example of the pioneering use of technology, such as NVIDIA Isaac Sim, to unlock industrial digitalization possibilities in manufacturing.”

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Toyota, READY Robotics sim-to-real robotic programming in industrial manufacturing

Robot Technologies