Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
AWS RoboMaker is a cloud-based simulation platform designed to support robotics developers by allowing them to efficiently run, scale, and automate simulations without the need to manage infrastructure themselves. This service provides a cost-effective approach for scaling simulation workloads and supports large-scale, parallel simulations through a single API call, while also enabling the creation of user-defined, randomized 3D virtual environments tailored to specific needs. Developers can enhance their workflows by conducting automated regression testing as part of continuous integration and continuous delivery pipelines, as well as train reinforcement learning models through numerous iterative trials. Furthermore, the platform facilitates the connection of multiple concurrent simulations to fleet management software, ensuring thorough and comprehensive testing processes. Integrating seamlessly with AWS machine learning, monitoring, and analytics services, AWS RoboMaker empowers robots to effectively stream data, navigate their surroundings, communicate, understand various inputs, and continuously learn. This integration not only enhances the capabilities of robots but also streamlines the overall development process, ultimately leading to more efficient and innovative robotic solutions.
Description
Accelerating product market entry while ensuring high quality necessitates the use of cohesive engineering workflows along with minimal changeover and startup durations. The SIMIT Simulation Platform facilitates extensive testing of automation applications and offers a realistic training setting for operators even before the plant becomes operational. By fostering opportunities for process refinement and knowledge retention, SIMIT contributes to decreased commissioning times and a significantly faster time-to-market. Ultimately, this leads to improved efficiency across the entire lifecycle of manufacturing and process facilities. Furthermore, SIMIT supports thorough testing of automation initiatives and allows for virtual commissioning of systems, machines, and processes all within a single platform, thereby streamlining operations. Additionally, the platform's realistic training environments ensure that personnel are well-prepared to manage the complexities of their roles.
API Access
Has API
Yes
API Access
Has API
No
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Pricing Details
No price information available.
Free Trial
No
Free Version
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
Deployment
Web-Based
No
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
Yes
Mac
No
Linux
No
Chromebook
No
Customer Support
Business Hours
Yes
Live Rep (24/7)
Yes
Online Support
Yes
Customer Support
Business Hours
Yes
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
Yes
Live Training (Online)
No
In Person
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Vendor Details
Company Name
Amazon
Founded
1994
Country
United States
Website
aws.amazon.com/robomaker/
Vendor Details
Company Name
Siemens
Country
Germany
Website
new.siemens.com/us/en/products/automation/distributed-control-system/simit.html
Product Features
Simulation
1D Simulation
No
3D Modeling
No
3D Simulation
No
Agent-Based Modeling
No
Continuous Modeling
No
Design Analysis
No
Direct Manipulation
No
Discrete Event Modeling
No
Dynamic Modeling
No
Graphical Modeling
No
Industry Specific Database
No
Monte Carlo Simulation
No
Motion Modeling
No
Presentation Tools
No
Stochastic Modeling
No
Turbulence Modeling
No
Product Features
Simulation
1D Simulation
No
3D Modeling
No
3D Simulation
No
Agent-Based Modeling
No
Continuous Modeling
No
Design Analysis
No
Direct Manipulation
No
Discrete Event Modeling
No
Dynamic Modeling
No
Graphical Modeling
No
Industry Specific Database
No
Monte Carlo Simulation
No
Motion Modeling
No
Presentation Tools
No
Stochastic Modeling
No
Turbulence Modeling
No