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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 OCTOPUZ?
OCTOPUZ is an advanced robot programming software that functions offline, facilitating the creation of complex, path-sensitive robotic applications without disrupting manufacturing processes or necessitating an on-site programming expert. By allowing users to design robot operations in a virtual space, OCTOPUZ greatly enhances productivity and profitability by removing the downtime typically associated with taking robots offline. The software boasts compatibility with a wide range of robot brands, configurations, and applications, ensuring easy integration and efficient code generation for real-world cell applications. Key features include a user-friendly interface that promotes quick learning, automatic detection and rectification of robot errors, and program optimization that focuses on reducing cycle times, while also managing complex setups that involve multiple robots and external devices. Additionally, OCTOPUZ improves the validation of robotic workflows through simulation, which ensures that programs are accurate and efficient before implementation, thereby streamlining the entire robotic deployment process. This holistic approach not only simplifies the programming experience but also enhances the overall effectiveness and reliability of industrial automation systems. As a result, OCTOPUZ positions itself as an indispensable tool for industries looking to optimize their robotic operations and achieve greater efficiency.
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
OCTOPUZ
Date Founded
2013
Company Location
Canada
Company Website
octopuz.com