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 ...

SafeWorld, an AI lab building robot safety simulation technologies, has emerged from stealth with $12.2 million in seed funding co-led by Shine Capital and a16z Speedrun, along with Box Group, ...

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 ...

Reinforcement learning (RL) for robotics is often associated with large GPU clusters, distributed infrastructure, and x86-based development environments. Training a humanoid robot with high-fidelity ...

What happens when robots encounter conditions no simulation predicted? From sensor interference to changing greenhouse environments, eight years of deployment data reveal how real-world experience ...

Simulating physics is central to robotics: before a robot ever moves in the real world, much of its learning, testing, and control happens in a virtual environment. But traditional simulators often ...

A University of Seoul student team won the Autonomous Robot Manipulation Challenge at RoboCup 2026 in Incheon from July 2-6. The UOS Robotics team said it captured the title for the third time, after ...