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What is RoSi?

RoSi is an all-encompassing digital twin simulation platform designed to enhance the development, training, and assessment of robotic and automation systems, utilizing both Software-in-the-Loop (SiL) and Hardware-in-the-Loop (HiL) simulations to generate synthetic datasets. This versatile platform caters to both conventional and AI-integrated technologies, available as either a Software as a Service (SaaS) or on-premise solution. Its notable features include support for a diverse range of robots and systems, the provision of lifelike real-time simulations, exceptional performance through cloud scalability, compliance with open and interoperable standards like ROS 2 and O3DE, and the integration of AI for generating synthetic data and facilitating embodied AI applications. Specifically designed for the mining industry, RoSi for Mining meets the needs of modern mining operations and is utilized by mining companies, technology providers, and OEMs in the sector. By harnessing advanced digital twin simulation technologies and a flexible architecture, RoSi significantly enhances the development, validation, and testing processes for mining systems with remarkable accuracy and efficiency. Moreover, its strong capabilities promote innovation and drive operational excellence in an ever-evolving mining landscape, empowering users to adapt and thrive amid industry challenges.

What is PyBullet?

PyBullet is a flexible Python library that specializes in simulating physics, robotics, and deep reinforcement learning, with its foundation stemming from the Bullet Physics SDK. This module allows users to import articulated bodies from multiple formats, such as URDF and SDF, and provides functionalities including forward dynamics simulation, inverse dynamics computation, kinematics, collision detection, and ray intersection queries. Beyond its strong simulation capabilities, PyBullet offers rendering options like a CPU renderer and OpenGL visualization, as well as compatibility with virtual reality headsets. Its utility spans various research projects, including Assistive Gym, which employs PyBullet to enhance human-robot interactions and improve assistive robotics for tasks that require collaboration and physical support. Furthermore, the Kubric project integrates with PyBullet and Blender to create highly realistic scenes with intricate annotations, showcasing its potential to handle large-scale projects that can be executed across numerous machines. This diverse array of features not only makes PyBullet a critical resource for researchers and developers in the robotics and simulation domains but also highlights its adaptability for various technological advancements and applications in the field. Ultimately, PyBullet serves as a cornerstone for innovation and exploration in the realms of robotics and physics simulation.

Media

Media

Integrations Supported

OpenGL
Python

Integrations Supported

OpenGL
Python

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
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

Robotec.ai

Company Location

Poland

Company Website

www.robotec.ai/products

Company Facts

Organization Name

PyBullet

Company Location

United States

Company Website

pybullet.org/wordpress/

Categories and Features

Categories and Features

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