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Autonomous Systems

Full automation of testing and quality assurance services exclusively developed for Cognitive Autonomous Systems.

The Current Challenges – Autonomous Robot Vehicles

QA challenges for robot developers, manufactures, buyers, regulators and investors

LIMITED
KNOWLEDGE
Expertise to properly test an autonomous robotic vehicles
REGULATORY
COMPLIANCE
Regulatory compliance and government integrations or approval
LONG TIME
TO MARKET
Once the time to be spent with testing and validating hazard scenarios is high
HIGH COST FOR
PHYSICAL TESTING
It is not feasible to try reproducing several test scenarios physically
HIGH RISK FOR
THE ROBOT BUYER
No formal guarantee about situations where the vehicle might be not able to avoid obstacles and collide with other objects or people
LIMITED TESTING
COVERAGE
Uncertain about the robotic vehicle’s behavior in different situations
LATE VALIDATION
IN SDLC
Validation and testing performed possible to be done in late stages of development
HIGH
COMPLEXITY
High degrees of complex combinations to be tested to ensure high quality

Our Solution

We invented an accelerator for the automated testing for AI of robotic vehicles

FULL
AUTOMATION
Automated tests are automatically generated by the framework
 
MODEL-BASED
TESTING
Generation and prioritization of test cases are automatically done, using a model based approach
 
SAFER TEST
EXECUTION
No risk to human life or equipment to validate thousands of scenarios that are needed
HIGH
SCALABLE
Test is performed in a simulated environment in the cloud
 
VELOCITY AND
PERMUTATION
Safety through velocity and permutation: A solution that has automated the creation of automated tests
 
FASTER AND
ECONOMICAL
The setup of testing is faster and more economical, once it doesn’t require physical equipment and environment

The test automation framework

Like traditional QA, we start off with a set of requirements and rules which are provided by the customer. In turn, these standards are used for the basis of our expected results. Using QAC’s meta-model we create a set of model-based tests. These tests are easily updated as new requirements or rules occur. Based on industry safety standards, QAC executes tests based on a prioritization score of each test case. Using Robotic Operating System (ROS) and Gazebo (in conjunction with other tools) we then build a simulated environment. This system houses the customers’ robot software and calls upon generated test cases to be executed. Not only can we perform these base tests, but we have 100s of combinations of test injectors to perform more robust testing.

  • Weather and Environment
    Light, rain, snow, fog, wind, traction water, ice, sand, etc.
  • Terrain
    Incline, decline, uneven ground, and holes
  • Disrupters and Emergency conditions
    EMI, smoke and fire
  • Static and Dynamic Obstacles
    People and crowd gathering dispersing, other moving objects and vehicles, furniture, equipment, walls, and entrances, transparent and reflective obstacles (glass)

With our automation framework, we can execute all tests automatically. Leveraging our cloud computing, we can run our tests and conditions in parallel to maximize test execution and highlight where potential issues are found.

 

Relevant Partnerships

Custom solutions for a variety of robotic deployments

 

GOVERNMENT
& REGULATORS
Government, Regulation entities and even insurance companies might be interested in making sure the robot vehicle is safe enough to be running in an environment where people circulate or interact

ROBOT
MANUFACTURES
Companies that build the physical robot vehicle. These companies usually are the ones responsible for the entire robot vehicle and the first point – of – contact to buyers or users of those robot vehicles

ROBOT
BUYERS
Companies that buy the robot vehicles and have them running in their environment. Examples of Robot Buyers are Airports, Malls, Government, Warehouses, Hospitals, etc.

FUNDERS
& INVESTORS
Organizations that provide funds and grants for the autonomous robot vehicles ecosystem to invest on technology and solutions to address different needs

ROBOT
AI DEVELOPERS
Software (AI) builders that controls and provides autonomy to the robotics vehicles. The intelligence to self – driving and take its own decisions given the scenarios and circumstances it is exposed to

Benefits and advantages of our solution

Outcomes of Automated Cognitive System Testing

Our accelerator for the automated testing for AI of robotic vehicles allows:
LOWER COST DUE
TO SIMULATION
Any test scenarios can be performed in a simulated environment
FAST TIME
TO MARKET
Hundred of thousands different test scenarios can be executed quickly
QUALITY & SAFETY
ASSURANCE
Potential issues can be identified and fixed before the robotic vehicle goes to production
STRATEGY FOR A
REAL – WORLD UAT
Focus on scenarios identified as higher risks to be reproduced in real – word with physical tests
LOWER RISK
FOR THE ROBOT BUYER
With a formal quality assurance process, robot buyers can get confidence that it is ready to be interacting in a real environment with people without hazard risks
HIGH TESTING
COVERAGE
The model – based testing approach allows that hundred of thousands test scenarios are automatically generated and executed
EARLY VALIDATION
IN SDLC
The software that controls the robotic vehicle can be tested in early stages of development, due to the automated approach and easy validation

 

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