Average Ratings 0 Ratings
Average Ratings 0 Ratings
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
PhysicsX Platform is an advanced engineering platform driven by AI that harnesses the capabilities of artificial intelligence throughout the domains of design, manufacturing, and operations, facilitating significant advancements in performance, efficiency, and speed for vital industrial sectors globally. This platform merges simulation, physics AI, data, and engineering applications into a cohesive software foundation that seamlessly integrates with existing tools utilized by engineers. Specifically designed to support the entire product lifecycle—from initial concept and design to manufacturing and operational phases—PhysicsX incorporates AI into the engineering process rather than treating it as an additional component. By empowering enterprises to swiftly create, implement, and expand a new generation of AI tools within intricate engineering workflows, PhysicsX allows teams to effectively train and deploy physics AI directly in real-world design and production contexts while enhancing productivity and innovation. Ultimately, the platform represents a transformative step toward the future of engineering.
API Access
Has API
API Access
Has API
Integrations
ANSYS SpaceClaim
Abaqus
Amazon Web Services (AWS)
CATIA
Microsoft Azure
Siemens NX
Simcenter STAR-CCM+
Integrations
ANSYS SpaceClaim
Abaqus
Amazon Web Services (AWS)
CATIA
Microsoft Azure
Siemens NX
Simcenter STAR-CCM+
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
PhysicsX
Country
United Kingdom
Website
www.physicsx.ai/platform
Product Features
Product Features
Artificial Intelligence
Chatbot
For Healthcare
For Sales
For eCommerce
Image Recognition
Machine Learning
Multi-Language
Natural Language Processing
Predictive Analytics
Process/Workflow Automation
Rules-Based Automation
Virtual Personal Assistant (VPA)
Engineering
2D Drawing
3D Modeling
Chemical Engineering
Civil Engineering
Collaboration
Design Analysis
Design Export
Document Management
Electrical Engineering
Mechanical Engineering
Mechatronics
Presentation Tools
Structural Engineering
Alternatives
Alternatives
No Alternatives