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Average Ratings 0 Ratings

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ease
features
design
support

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Description

Lucky Robots is an innovative platform dedicated to robotics simulation that empowers teams to train, assess, and enhance AI models for robots within meticulously crafted virtual environments that closely reflect the nuances of real-world physics, sensors, and interactions. This system facilitates the extensive creation of synthetic training data and allows for swift iterations without the need for physical robots or expensive lab environments. By leveraging cutting-edge simulation technology, it constructs hyper-realistic scenarios, such as kitchens and various terrains, enabling the exploration of diverse edge cases and the generation of millions of labeled episodes to support scalable model learning. This approach not only speeds up development but also significantly cuts costs and minimizes safety risks. Additionally, the platform accommodates natural language control in its simulated environments, provides the flexibility for users to upload their own robot models or select from existing commercial options, and incorporates collaborative tools through LuckyHub for sharing environments and training workflows. As a result, developers can optimize their models more effectively for real-world applications, ultimately enhancing the performance and reliability of their robotic solutions.

Description

PyBullet is a versatile Python library designed for simulating physics, robotics, and deep reinforcement learning, and it is rooted in the Bullet Physics SDK. This module enables users to load articulated bodies from various formats such as URDF and SDF, while also offering capabilities like forward dynamics simulation, inverse dynamics computation, kinematics, collision detection, and ray intersection queries. In addition to its robust simulation features, PyBullet includes rendering options, such as a CPU renderer and OpenGL visualization, along with support for virtual reality headsets. It finds applications in numerous research initiatives, including Assistive Gym, which utilizes PyBullet to facilitate physical human-robot interactions and advance assistive robotics for collaborative and physically supportive tasks. Additionally, the Kubric project serves as an open-source Python framework that collaborates with PyBullet and Blender to create photorealistic scenes complete with detailed annotations, demonstrating its ability to scale to extensive projects that can be distributed across thousands of machines. This combination of functionalities makes PyBullet an essential tool for researchers and developers working in the fields of robotics and simulation.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

OpenGL
Python

Integrations

OpenGL
Python

Pricing Details

Free
Free Trial
Free Version

Pricing Details

No price information available.
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Vendor Details

Company Name

Lucky Robots

Country

United States

Website

luckyrobots.com

Vendor Details

Company Name

PyBullet

Country

United States

Website

pybullet.org/wordpress/

Product Features

Product Features

Alternatives

Alternatives

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