The digital parts of the system must be accurate in order to reliably simulate a robotics system. Higher-quality components ...

A new research initiative from NVIDIA has demonstrated an AI system capable of autonomously generating reward algorithms that ...

Before a potential customer buys an autonomous mobile robot solution, Locus Robotics often uses different types of simulation to determine the type of robots needed and the number needed to optimize ...

On the 24th, KRAFTON CEO Kim Chang-han met with AWS CEO Matt Garman at the Amazon Web Services (AWS) headquarters in Seattle ...

The Genesis Project represents a significant leap forward in the convergence of generative AI and physics simulation, reshaping the way robots are trained and developed. By integrating innovative ...

For Nvidia, the future may be in leveraging digital twin technology. The company expects that Mega will help encourage more efficient outcomes in the physical warehouse. It could be particularly ...

Robotics startup 1X Technologies has developed a new generative model that can make it much more efficient to train robotics systems in simulation. The model, which the company announced in a new blog ...

A higher form of simulation, digital twins collect data to create accurate simulations that display the operation, potential failures, and possible future maintenance issues in manufacturing equipment ...

Robotic simulation and control form the backbone of modern autonomous systems, enabling designers to prototype, validate and refine algorithms before deployment in real environments. High-fidelity ...

The two companies announced an expanded partnership at a Cadence conference in Santa Clara on Wednesday. The goal: make robot training data more accurate so physical AI systems reach real-world ...

Opentrons Labworks, a provider of lab automation technologies, now offers Protocol Visualization for Opentrons Flex, a new simulation and visualization capability within the Opentrons software ...

Flexion Robotics, a startup founded by ex-Nvidia engineers, has a clever way of training robots to do useful work.