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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.

What is DELMIA Robotics?

DELMIA Robotics software facilitates the validation of production systems and robot programming within a collaborative 3D environment. It integrates seamlessly with CAD tools, allowing for real-time updates that improve workflow efficiency, reduce errors, and expedite the time to market. Users are able to define robotic work cells, program and adjust robots, and simulate the entire manufacturing process and product flow virtually, which removes the need for physical resources in the early phases. This functionality enables offline robot programming without disrupting current production, leveraging digital twin technology for accurate virtual validation, effectively saving time and costs. Manufacturers can scale their operations with assurance that the robots will function as expected, contributing to a significant reduction in production downtimes. Furthermore, users can design, simulate, and validate different tooling and equipment setups. They have the option to either import parametric objects from an extensive catalog or design custom solutions tailored to their specific requirements, resulting in a highly adaptable approach. This degree of flexibility enhances the ability of manufacturers to optimize their production environments, ensuring they can meet unique operational demands efficiently. Ultimately, the use of DELMIA Robotics software leads to a more streamlined and productive manufacturing process.

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

PyBullet

Company Location

United States

Company Website

pybullet.org/wordpress/

Company Facts

Organization Name

Dassault Systèmes

Date Founded

2002

Company Location

France

Company Website

www.3ds.com/products/delmia/industrial-engineering/robotics

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