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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 KUKA.Sim?

KUKA.Sim is a sophisticated simulation platform designed specifically for the efficient offline programming of KUKA robots, enabling users to improve both system and robotic efficiency away from the actual production environment in a fast and user-friendly way. This software facilitates the creation of digital twins, which act as accurate representations of anticipated production processes. The extensive 3D simulation encompasses the entire planning cycle, addressing process design, visualizing material flows, identifying bottlenecks, and generating PLC code. KUKA.Sim ensures total data consistency, meaning that both virtual and physical controllers operate using the same set of information, which is crucial for successful virtual commissioning. By allowing for the pre-testing and refinement of new production lines, this approach significantly reduces time spent, as it permits rapid and tailored planning of both system and robot configurations without requiring any physical prototypes. Additionally, the capacity to simulate different scenarios not only promotes innovation but also aids in recognizing potential challenges prior to their occurrence in actual operations. This comprehensive tool stands as a crucial asset for industries looking to optimize their production processes effectively.

Media

Media

Integrations Supported

3DEXPERIENCE
OpenGL
Python
Visual Components

Integrations Supported

3DEXPERIENCE
OpenGL
Python
Visual Components

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

PyBullet

Company Location

United States

Company Website

pybullet.org/wordpress/

Company Facts

Organization Name

KUKA

Date Founded

1898

Company Location

Germany

Company Website

www.kuka.com/en-us/products/robotics-systems/software/simulation-planning-optimization/kuka_sim

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