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Radio Wave Technology Gives Robots ‘All-Weather Vision’

Unite.AI

The quest to develop robots that can reliably navigate complex environments has long been hindered by a fundamental limitation: most robotic vision systems essentially go blind in challenging weather conditions. “Our signal processing and machine learning algorithms are able to extract rich 3D information from the environment.”

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Heico Sandee, Founder and CEO of Smart Robotics – Interview Series

Unite.AI

Heico Sandee , is the Co-Founder and CEO of Smart Robotics. Smart Robotics offers technology and services designed to automate pick-and-place stations in fulfillment centers. What inspired you to co-found Smart Robotics back in 2015? What challenges in the robotics industry were you aiming to solve?

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The Rise of Smarter Robots: How LLMs Are Changing Embodied AI

Unite.AI

For years, creating robots that can move, communicate, and adapt like humans has been a major goal in artificial intelligence. While significant progress has been made, developing robots capable of adapting to new environments or learning new skills has remained a complex challenge. LLMs can also help robots to learn.

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The Role of Artificial Intelligence in Enhancing Contamination Control Automation

Aiiot Talk

Routine tasks like data recording and logging can be automated with less reliance on personnel, thus negating human errors and reducing contamination risks. AI-powered robotic cleaners identify areas that need thorough or superficial cleaning, optimizing the process and time spent.”

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Robotic Automation and AI in Metal Fabrication: A Synergistic Relationship

Aiiot Talk

In recent years, automation and AI have revolutionized many sectors, including metal fabrication. However, introducing automation in metal fabrication has significantly transformed these methods. Benefits of Integrating Automation and AI Integrating automation and AI allows manufacturers to meet high demand efficiently.

Robotics 299
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SonicSense Gives Robots Human-Like Sensing Abilities Through Acoustic Vibrations

Unite.AI

Duke University researchers have unveiled a groundbreaking advancement in robotic sensing technology that could fundamentally change how robots interact with their environment. In robotics, the ability to accurately perceive and interact with objects remains a crucial challenge.

Robotics 162
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Has AI Taken Over the World? It Already Has

Unite.AI

The invention of the backpropagation algorithm in 1986 allowed neural networks to improve by learning from errors. 2000s – Big Data, GPUs, and the AI Renaissance The 2000s ushered in the era of Big Data and GPUs , revolutionizing AI by enabling algorithms to train on massive datasets.

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