Tech Xplore

Researchers achieve remote, autonomous power control of a research reactor in real time

For the first time, researchers from Idaho National Laboratory, the Grainger College of Engineering at the University of ...
Frontiers

Design of industrial robot sorting and assembly control system based on Profinet bus

In complex industrial environments, traditional industrial robot control systems are difficult to meet the requirements of automated production for industrial parts sorting and assembly tasks. The ...
Frontiers

Learning-based control for tendon-driven continuum robotic arms

Tendon-Driven Continuum Robots are widely recognized for their flexibility and adaptability in constrained environments, making them invaluable for most applications, such as medical surgery, ...
IEEE

Adaptive PID Tuning for DC Motors using Machine Learning

Abstract: Direct Current (DC) motors are extensively used in industrial applications for their versatility in speed control and adaptability. This paper introduces a Reinforcement Learning (RL)-based ...
SciELO

DEEP LEARNING-DRIVEN PREDICTIVE CONTROL METHOD FOR OPTIMIZING COMBINE HARVESTER OPERATION SPEED

To enhance the automation and efficiency of combine harvesters, this paper proposes a predictive control method based on Long Short-Term Memory (LSTM) neural networks. The method integrates ...
Automation World

AI In My PID Loops? It’s More Likely Than You’d Expect

Some wonder if AI will replace PID control loops. The reality is that, instead of replacing PID, AI is stepping in to help keep things running smoothly without upending regulatory trust. Think of AI ...
TechCrunch

Juna.ai wants to use AI agents to make factories more energy-efficient

AI agents are all the rage, a trend driven by the generative AI and large language model (LLM) boom these past few years. Getting people to agree on what exactly AI agents are is a challenge, but most ...