Safety First: Trusted AI Transforms Robotics
into Cooperative Teams
for Complex Environments
The Problem:
Robots can perform dirty, dull, and dangerous jobs faster and safer than people. But when the outdoor environment is unstructured and unpredictable, you need teams of different robot types with abilities to overcome obstacles and communicate in ways they were not designed for.
The Solution:
Dirty, Dull, And Dangerous Jobs get Done Faster And Safer With AvaWatz Trusted AI Collaborative Robot Teams
GET MORE FROM YOUR
ROBOTS
WITH AVAWATZ
The AvaWatz Trusted AI Platform enables robotics teaming to allow robots of different types and abilities to work effectively in environments that are unstructured, performing nuanced activities that can be executed only when they cooperate. Powerful machine learning methods combine the capabilities of individual robot agents into a unified system for collaborative detecting, deciding, and acting. This enables your ultimate robot team to get the job done!
Challenging Environments Require Multi-Platform robot Teams to Collaborate and Problem Solve as a unit to complete the mission safely.
For Use As Needed...Not Designed
TO GET THE JOB DONE, ROBOTS NEED TO BE ABLE TO TAKE THREE (SEEMINGLY) SIMPLE STEPS:
INTERPRET DATA FROM SENSORS
COMMUNICATE THE APPROPRIATE ACTION
OVERCOME OBSTACLES To Accomplish the Mission
IN THE REAL WORLD, THese “SIMPLE” STEPS GET COMPLICATED QUICKLY.
HERE’S WHAT YOU NEED
Robots are great at collecting data through their sensors. The only limitation they have is the type and quality of sensor they have for operating in a given environment, or at a given distance.
Does the UAV (unmanned aerial vehicle) or UGV (unmanned ground vehicle) receiving the actionable information have the capability to do the task that needs to get done? Many times, they don’t. For example: UAVs are often blessed with great vision, but without hands and feet (so to speak). A UGV may have ‘hands and feet’, but significantly limited vision. The best solution to the problem may be to coordinate the actions between the two robot types.
If you’re lucky enough to have the right robot with the right skill ready to deploy, it still needs to be told where to go and what to do. The problem is, the UGV was built by a different company, and uses a different programming language than the UAV. AvaWatz provides conduit for communication that allows the different technologies to coordinate to each other, allowing for autonomous action (or placing the people in full control of the coordinated effort).
Data interpretation is only as good as the method used. There are three ways to deal with this data interpretation, and sometimes you need all three to overcome the challenges that are in the way:
- Human collaboration for interpretation (the tried and true). The object in question is highlighted; what do you want to do with it?
- AI and machine learning recognises the object and determines action.
- A person collaboratively works with the AI to determine action.
Sometimes 1-to-1 communication isn’t enough to get the job done in the time allotted. For instance, a large task may require 100 UAVs scanning across a few hundred square miles, and you need coordinated interpretation to ensure you are getting the most actionable information.
Your ability to execute is contingent on your robots team’s ability to receive actionable information and utilize the tools appropriate for the execution of the task at hand.
AVAWATZ Trusted AI Enables
Collaboration & Problem Solving
SCHEDULE A CALL
In our discovery session, we’ll discover your needs, align with your goals, and understand the task at hand.
BUILD YOUR TEAM
Our team will help you design your ultimate robot team with the complementary skill sets,
communication, and scalability you need.
DIRTY Dull DANGEROUS… DONE
When you deploy your ultimate robot team, you’ll be able to knock out your most challenging tasks more quickly and safely than ever before.
AVAWATZ ALLOWS YOU TO CONNECT YOUR ROBOTIC WORLD
We understand how hard it can feel to get different robotic systems with different capabilities to work together. There’s nothing plug-and-play about it. Before you can accomplish your mission successfully, you need to understand why robotic teams fail.
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