robotics simulation

AI company HUMXN is launching a program in Minnesota offering homeowners free plumbing and HVAC service while its robots perform the work, gathering real-world training data in the process. The arrangement gives the firm hands-on experience in messy, unpredictable home environments that lab simulations cannot easily replicate, while customers get repairs at no cost.

A Financial Times feature examines 'robot gyms' — facilities where robots are trained in simulated real-world settings before deployment. The report highlights the growing industry effort to teach machines to handle everyday environments, from warehouses to homes, as companies race to make robotics reliable outside the lab.

SafeWorld has come out of stealth with a focus on building and deploying simulation technologies for robot safety. The company aims to help test and validate how robots behave safely before deployment in real-world environments. Details on funding, leadership and customers have not yet been disclosed.

GreyOrange, a warehouse robotics and automation company, has acquired Site Bionics, a digital twin platform. The deal adds virtual simulation technology to GreyOrange's fulfillment automation offering, letting retailers model and optimize warehouse operations digitally. The acquisition was reported by WWD, pointing to its relevance for retail supply chains. Details on deal terms and integration plans have not yet been disclosed.

NVIDIA has published a technical blog post detailing a five-step process for creating SimReady assets for robotics using frontier AI models. SimReady assets are simulation-ready 3D objects that can be used to train and test robots in virtual environments. The guide explains how AI models can automate asset creation, reducing the manual work traditionally required to build physically accurate simulation content. Robotics developers are expected to use the workflow to speed up simulation-based training pipelines.

GaussianBench has been introduced as a benchmark for evaluating how well Gaussian splatting scene representations hold up under physical simulation. Rather than judging rendering quality alone, it measures physics fidelity — whether reconstructed 3D scenes behave correctly when subject to forces, collisions and other dynamics. The work targets researchers combining 3D Gaussian reconstruction with simulation, an area of growing interest in graphics and robotics communities.

A new open-source framework has been released that simulates drone swarms in fully three-dimensional indoor environments. The tool gives researchers and developers a way to test swarm coordination and navigation behavior inside detailed indoor 3D worlds before deploying real hardware. Coverage so far is limited, with the announcement circulating mainly through technology news outlets and drawing interest from the robotics and drone research community.

Hyundai and Boston Dynamics are making a major investment in AI-based robot training for manufacturing. The effort focuses on using artificial intelligence to teach industrial robots new skills, aiming to speed up automation in Hyundai's production operations. Trade publications covering engineering and design have picked up the announcement, highlighting how AI simulation and training could reshape factory robotics.

Fast Company explores how technologies born in video games, such as simulations and game engines, are paving the way for physical AI, where artificial intelligence is embodied in robots that interact with the real world. The piece examines how gaming tools can train and test embodied systems, a topic drawing attention as companies invest heavily in robotics and AI beyond screens.

Computer vision organisation OpenCV is running a live stream featuring Yossi Cohen, covering the history of robotics simulation and the current state of the art using NVIDIA's Isaac Sim platform. The session gives viewers a walkthrough of how simulation tools have evolved and how NVIDIA's technology is now applied in robotics development, drawing interest from the robotics and open-source vision communities.

SafeWorld has come out of stealth announcing $12.2 million in funding to develop simulation software for robot safety. The company aims to let developers test and validate robotic systems in virtual environments before deployment, reducing physical risk. The announcement is drawing attention in the robotics and industrial automation communities as interest grows in safety tooling for increasingly autonomous machines.

Fast Company examines how decades of game development — simulated physics, virtual agents, and interactive 3D environments — could inform the next generation of embodied AI systems such as robots. The piece argues that the game industry's experience building believable worlds and training agents inside them offers a useful blueprint for teaching machines to act in the physical world.

A new hands-on review of LTX-2.5 examines how the model performs in physical AI work, covering robotics use cases, world model generation, and synthetic data creation. The reviewer walks through practical tests of the system's ability to simulate and understand physical environments, a growing focus for developers training robots and autonomous systems. The review is drawing attention for its look at whether generative video models can serve real robotics pipelines.

Bonsai Robotics is using AI-based simulation to train autonomous field robots before they are deployed on real farms, according to a report by Future Farming. The approach lets machines learn tasks such as navigation and crop handling in virtual environments, reducing the cost and risk of on-site testing. The development is drawing attention within the agricultural technology sector as demand grows for reliable farm automation.