Association for Advancing Automation

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Association for Advancing Automation A3 is your home for all things automation.

Welcome to the improved Association for Advancing Automation (A3), the leading global automation trade association of the robotics, machine vision, motion control, and industrial AI industries. We are your hub for all your automation resources: Products, partners, new applications, training, and information on the latest technologies.

10/13/2026

Changing an object’s color can expose a weakness in a robot’s training.

Carolina Parada describes a robot trained on red objects, then placed in a scene where those same objects are blue. Without enough variety in its training data, it can associate “red” with the object it’s supposed to recognize.

Hear her explain why the environments robots learn in matter when they encounter something different.

Catch the full episode at automated.fm

10/12/2026

Unitree’s humanoids are finding buyers. Most are going to researchers.

Aaron Prather looks at the numbers on The Business of Automation, including the 9% going into industrial applications. Even within that group, factory tours and inspections account for most of the work.

Watch more: https://www.automate.org/business-of-automation

10/09/2026

Loading a metal part onto a fixture is familiar work for an industrial robot. How does a humanoid compare?

ABB’s Andie Zhang looks at the precision and speed of humanoid demonstrations, and the performance manufacturers already get from industrial robots.

Watch her discussion at automated.fm

09/30/2026

AI can be the engine. Social impact has to be the goal.

Karen Panetta talks about using AI, robotics and engineering to solve problems that have a meaningful effect on people’s lives.

That has meant applying technology across areas like accessibility, food safety, infrastructure and transportation, including problems that may not always have an obvious commercial market.

For her, the real measure of the technology is the social impact it can create.

09/30/2026

The next generation of automation talent won’t all come from the same background.

Dr. Karen Panetta of Tufts University shares why creativity, imagination, determination and individuality matter in STEM, and how interests like art and music can help shape stronger problem-solvers.

Catch the full episode at automated.fm

09/29/2026

Different robots can bring different strengths to the same team.

Amanda Prorok discusses why heterogeneous robot systems can be more robust, with individual robots specializing in certain roles while still working together as part of a larger system.

When something unexpected happens, another robot may already have the capability or perspective needed to respond.

09/29/2026

Dhruv Batra says AI agents can sometimes navigate poorly designed websites better than humans.

They look at what’s on the screen, adapt as layouts change, and keep learning from live interactions.

09/28/2026

A robot doesn’t necessarily need another robot to generate its training data.

Tony Zhao explains how Sunday Robotics can use relatively inexpensive wearable devices to collect manipulation data instead of relying entirely on costly teleoperated robots.

It gives the team a way to gather much larger amounts of real-world data as it trains robots to handle increasingly varied tasks.

09/23/2026

Semiconductors may be one of humanity’s most innovative technologies. 💻

Texas Instruments CTO Ahmad Bahai explains how decades of advances in chip design, manufacturing, materials and lithography helped make modern AI, autonomy and robotics possible.

Even when the industry appears to hit a physical limit, engineers have repeatedly found another way forward.

🎥 Watch the full conversation with Ahmad Bahai.

09/22/2026

Robot data may be the most accurate way to train a robot, but it comes with an obvious limitation: you can only collect as much data as your robots have time to generate.

Carolina Parada of Google DeepMind explains why the industry is also looking at simulation, human video and robots learning from their own mistakes.

Eventually, the goal is for robots to learn much more of what they know by observing video, then practice enough to adapt those skills to their own bodies.

Address

900 Victors Way
Ann Arbor, MI
48108

Opening Hours

Monday 8am - 5pm
Tuesday 8am - 5pm
Wednesday 8am - 5pm
Thursday 8am - 5pm
Friday 8am - 5pm

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+17349946088

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