In a study published in Robot Learning journal, researchers propose a new learning-based path planning framework that allows mobile robots to navigate safely and efficiently using a Transformer model.

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Despite a flat volume outlook, the logistics firm plans to scale profitability by deploying GXO IQ to more than 50 sites and scaling its robotics fleet to 20,000 in 2026.

AI can transform healthcare, but risks remain: liability, bias, blurred “wellness vs medicine,” and jagged model errors.

The average long-term return on the stock market is about 10 percent. For AgSEED, the Purdue College of Agriculture’s ...

The Pentagon had kept trying to leave itself little escape hatches in the agreements that it proposed to Anthropic. It would ...

Japanese firms Toshiba and MIRISE Technologies have demonstrated a breakthrough in autonomous mobility. The ...

Researchers in Germany have launched a new initiative to develop an AI-powered robotic system ...

With 2D cameras and space robotics algorithms, astronautics engineers have created a navigation system able to manage multiple satellites using visual data only. They just tested it in space for the ...

Mobile robots must continuously estimate their position to navigate autonomously. However, satellite-based navigation systems are not always reliable: signals may degrade near buildings or become ...

KAUNAS, LT - February 13, 2026 - PRESSADVANTAGE - Pul AI has announced the release of its innovative health monitoring ...

Recent technological advances have opened new possibilities for the development of advanced medical devices, including tiny ...