San francisco: Skild AI has announced expanded collaborations with NVIDIA, ABB Robotics, and Teradyne Robotics' Universal Robots (UR) and Mobile Industrial Robots (MiR) to deploy its artificial intelligence (AI)-powered robot brain across multiple industries. The partnerships aim to scale deployment of Skild AI's robotics foundation model, Skild Brain, designed as a general-purpose system capable of controlling different robotic hardware across a wide range of tasks.

According to BERNAMA News Agency, Skild AI in a statement, this foundation model accelerates a powerful "data flywheel", enabling the brain to combine data from different robot deployments to continuously improve itself and scale additional deployments. Conventionally, industrial robots require careful, task-by-task programming by human experts, making scaling difficult. Skild's AI brain offers a fundamentally different approach by learning directly from data.

Through its collaboration with NVIDIA, Skild AI is using the company's open robotics platform, including the Isaac Lab and Isaac Sim frameworks, to train its robotic foundation model in large-scale simulations before deployment in real-world environments. Skild AI is also working with ABB Robotics and UR to integrate its AI system into industrial robots, allowing manufacturers to automate complex tasks without building task-specific code for each workflow.

As an early success, Skild AI is partnering with Foxconn to deploy the omni-bodied brain to control dual arms on NVIDIA's Blackwell graphics processing unit (GPU) production lines, performing complex assembly operations.