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Industry Markets

Courtesy of the MIT researchers
Developed by MIT researchers, the VLASH asynchronous VLA framework allows physical AI robots to thinking ahead, leading to smoother motions and quicker reactions.
Robotics

MIT-Developed VLA Framework Cuts Robot Execution Latency by 11 Times

Asynchronous VLASH approach enables “smooth, accurate, and fast reaction” robotic control using VLA inference models, researchers say.
July 30, 2026
130308316 © Romberi | Dreamstime.com
Splined shaft
Mechanical & Motion Systems

Why Ball Splines Matter: The Motion Control Technology Behind Precision Machines

July 27, 2026
Kent Elastomer Products
Kent Elastomer tubing
Materials

Designing with Elastomer Tubing: Fundamentals Engineers Can’t Afford to Overlook

July 24, 2026
Hannover Messe
Humanoids at work
Automation & IIoT

The Robots Are Getting Real: Lessons from Hannover Messe’s Industrial AI Reality

July 22, 2026
NexCOBOT
Jenny Shern, General Manager at NexCOBOT
Robotics

Q&A: The AI-Robotics Convergence: Global Perspectives for Machine Builders

July 17, 2026
Teradyne Robotics
UR/Generalist AI model demo
Automation & IIoT

The AI Trainer, the Generalist and the Cable Inserter Walk into a Booth

July 15, 2026
Made with Adobe Express
Automated Wiring? thumbnail
Automation & IIoT

How Weidmüller SNAP IN Enables Faster, Automated Cabinet Wiring

July 14, 2026
TE Connectivity
Cobot arm
Automation & IIoT

The Evolution of Cobots and Single Pair Ethernet (SPE)

July 13, 2026
RoboDK
RoboDK shown in a test environment
Automation & IIoT

How Digital Twins Boost Teleoperation in Hazardous Environments

July 13, 2026

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