Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
CoppeliaSim, created by Coppelia Robotics, stands out as a dynamic and robust platform for robot simulation, effectively serving various purposes such as rapid algorithm development, factory automation modeling, quick prototyping, verification processes, educational applications in robotics, remote monitoring capabilities, safety checks, and the creation of digital twins. Its architecture supports distributed control, allowing for individual management of objects and models through embedded scripts in Python or Lua, plugins written in C/C++, and remote API clients that support multiple programming languages including Java, MATLAB, Octave, C, C++, and Rust, as well as tailored solutions. The simulator is compatible with five different physics engines—MuJoCo, Bullet Physics, ODE, Newton, and Vortex Dynamics—enabling swift and customizable dynamics calculations that facilitate highly realistic simulations of physical phenomena and interactions, such as collision responses, grasping mechanisms, and the behavior of soft bodies, strings, ropes, and fabrics. Additionally, CoppeliaSim offers both forward and inverse kinematics computations for a diverse range of mechanical systems, enhancing its utility in various robotics applications. This flexibility and capability make CoppeliaSim an essential tool for researchers and professionals in the field of robotics.
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.
API Access
Has API
No
API Access
Has API
No
Integrations
C
Yes
C++
Yes
Java
Yes
Lua
Yes
MATLAB
Yes
Octave
Yes
Python
Yes
Rust
Yes
Integrations
C
No
C++
No
Java
No
Lua
No
MATLAB
No
Octave
No
Python
No
Rust
No
Pricing Details
$2,380 per year
Free Trial
No
Free Version
Yes
Pricing Details
Free
Free Trial
No
Free Version
Yes
Deployment
Web-Based
No
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
Yes
Mac
Yes
Linux
Yes
Chromebook
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Customer Support
Business Hours
Yes
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
Yes
In Person
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Vendor Details
Company Name
Coppelia Robotics
Country
Switzerland
Website
www.coppeliarobotics.com
Vendor Details
Company Name
Lucky Robots
Country
United States
Website
luckyrobots.com