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Average Ratings 0 Ratings

Total
ease
features
design
support

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Write a Review

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

Set up the IoT simulator to transmit real-time messages that can either fall within a specific range or derive from a random assortment of values, taking into account both time and client factors. The system should replicate dynamic messages in two formats, TEXT and JSON, closely mimicking the functionality of actual IoT devices. It will facilitate the transmission of four distinct types of dynamic values, including system variables like timestamps and client identifiers, as well as random, range-based, linear, and constant values, allowing for diverse data publication in each sequence to effectively align with genuine device behavior. Users can configure IoT events by uploading a predefined dataset via a CSV file using the CSV Importer feature. Each command dispatched to the edge device or IoT endpoint will generate a response from the device upon completing the requested action. Additionally, users can create realistic scenarios with automatic responses through Behavior Simulation, an engine designed to reply to subscribers based on the messages and topics received. Once a simulation request is initiated, the virtual connected devices commence data publication to the endpoint, ensuring seamless interaction within the simulated environment. This comprehensive setup enhances the realism of IoT simulations, bridging the gap between theoretical modeling and practical application.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

Amazon CloudWatch
Amazon S3
Amazon Web Services (AWS)
Google Cloud Platform
Microsoft Azure
Salesforce

Integrations

Amazon CloudWatch
Amazon S3
Amazon Web Services (AWS)
Google Cloud Platform
Microsoft Azure
Salesforce

Pricing Details

No price information available.
Free Trial
Free Version

Pricing Details

$599 per year
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

Amazon

Founded

1994

Country

United States

Website

aws.amazon.com/robomaker/

Vendor Details

Company Name

Bevywise Networks

Founded

2016

Country

United States

Website

www.bevywise.com/iot-simulator/

Product Features

Simulation

1D Simulation
3D Modeling
3D Simulation
Agent-Based Modeling
Continuous Modeling
Design Analysis
Direct Manipulation
Discrete Event Modeling
Dynamic Modeling
Graphical Modeling
Industry Specific Database
Monte Carlo Simulation
Motion Modeling
Presentation Tools
Stochastic Modeling
Turbulence Modeling

Product Features

IoT

Application Development
Big Data Analytics
Configuration Management
Connectivity Management
Data Collection
Data Management
Device Management
Performance Management
Prototyping
Visualization

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