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What is MotoSim?

Yaskawa Motoman's MotoSim EG-VRC (Enhanced Graphics Virtual Robot Controller) is a sophisticated application tailored for offline programming and the three-dimensional simulation of complex robotic systems. This software enables users to design and visualize robotic work cells in a virtual setting, thus removing the need for actual robots during the initial development phases. Key features include the ability to optimize robot and equipment placement, model reach capabilities accurately, compute cycle times precisely, generate paths automatically, identify potential collisions, configure systems, modify condition files, and establish Functional Safety Units (FSU). Additionally, the platform comes with a virtual robot controller that boasts a programming pendant interface closely resembling that of the physical controller, which facilitates a seamless transition from simulated environments to real-world applications. Moreover, MotoSim EG-VRC offers users an extensive library of models, allowing them to download a variety of third-party models that enhance their simulation experiences. This adaptability not only improves the programming process but also significantly speeds up the overall development timeline by enabling thorough testing prior to actual implementation. By leveraging such advanced capabilities, engineers can streamline their workflows and reduce the likelihood of errors in the final deployment of robotic systems.

What is AWS RoboMaker?

AWS RoboMaker is a cloud-based simulation service that enables robotics developers to run, scale, and automate simulations without the complexities of managing the underlying infrastructure. This service provides a financially savvy method for scaling simulation tasks while allowing extensive parallel simulations through a single API call, facilitating the creation of user-defined, randomized 3D virtual environments. In addition, developers can perform automated regression testing as part of their continuous integration and continuous delivery processes, conduct numerous iterative experiments to train reinforcement learning models, and connect multiple concurrent simulations to fleet management software for comprehensive testing. By leveraging AWS's advanced machine learning, monitoring, and analytics features, AWS RoboMaker equips robots to stream data, navigate their environments, and communicate effectively, thereby enhancing their learning capabilities. This seamless integration ultimately optimizes the development and testing processes, resulting in more effective robotic solutions. Moreover, the connectivity with fleet management software not only strengthens the testing framework but also allows for adaptability across a range of scenarios, making it a versatile tool for developers. Such capabilities significantly reduce the time and resources required for simulation tasks, leading to accelerated innovation in robotics.

Media

Media

Integrations Supported

HAL Robotics
Visual Components

Integrations Supported

Amazon CloudWatch
Amazon S3

API Availability

API Availability

Has API

Pricing Information

Pricing not provided

Pricing Information

Pricing not provided

Supported Platforms

Windows

Supported Platforms

SaaS

Customer Service / Support

Standard Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
On-Site Training

Company Facts

Organization Name

Yaskawa Motoman

Date Founded

1989

Company Location

United States

Company Website

www.motoman.com/en-us/products/software/simulation

Company Facts

Organization Name

Amazon

Date Founded

1994

Company Location

United States

Company Website

aws.amazon.com/robomaker/

Categories and Features

Categories and Features

Robot Simulation

Not specified

Simulation

Not specified

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