Fido

AWS RoboMaker is a cloud-based simulation service that enables robotics developers to run, scale, and automate simulations without managing any infrastructure. It allows for cost-effective scaling and automation of simulation workloads, supports large-scale and parallel simulations with a single API call, and facilitates the creation of user-defined, randomized 3D virtual environments. Developers can perform automated regression testing within a continuous integration and continuous delivery pipelines, train reinforcement learning models through extensive iterative trials, and connect multiple concurrent simulations to fleet management software for comprehensive testing. By integrating with AWS machine learning, monitoring, and analytics services, AWS RoboMaker enables robots to stream data, navigate, communicate, comprehend, and learn. Connect multiple concurrent simulations to your fleet management software for testing.

Yaskawa Motoman's MotoSim EG-VRC (Enhanced Graphics Virtual Robot Controller) is a sophisticated offline programming and 3D simulation software tailored for the precise programming of complex robotic systems. It enables users to construct and simulate robotic work cells virtually, eliminating the need for physical robots during the development phase. Key features include optimizing robot and equipment placement, reach modeling, accurate cycle time calculations, automatic path generation, collision detection, system configuration, condition file editing, and Functional Safety Unit (FSU) configuration. The software incorporates a virtual robot controller, providing a programming pendant interface identical to the actual controller, ensuring a seamless transition from simulation to real-world application. Additionally, MotoSim EG-VRC offers access to an extensive model library, allowing users to download a broad range of third-party models to enhance their simulations.