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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 Lucky Robots?

Lucky Robots stands out as a groundbreaking platform focused on robotics simulation that allows teams to train, evaluate, and refine AI models for robots in carefully designed virtual environments that accurately mimic the complexities of real-world physics, sensors, and interactions. This platform promotes the creation of extensive synthetic training data and enables rapid iterations without the necessity for physical robots or costly laboratory setups. Utilizing advanced simulation technology, it generates hyper-realistic scenarios, including kitchens and diverse terrains, which facilitate the examination of various edge cases and the production of millions of labeled episodes, thus supporting scalable learning for models. This method accelerates development significantly, reduces expenses, and lessens safety hazards. Furthermore, the platform supports natural language control within its simulated settings and offers users the option to upload their own robot models or choose from a selection of existing commercial alternatives, while also integrating collaborative features via LuckyHub for sharing environments and training processes. Consequently, developers are empowered to fine-tune their models more efficiently for practical applications, which ultimately boosts the performance and dependability of their robotic innovations. With its user-friendly interface and comprehensive tools, Lucky Robots ensures that teams can maximize their productivity while pushing the boundaries of robotics technology.

Media

Media

Integrations Supported

HAL Robotics

Integrations Supported

HAL Robotics

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Free
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour 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
Online Training
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

Lucky Robots

Company Location

United States

Company Website

luckyrobots.com

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