A single AI model trained to control numerous robotic bodies can operate unfamiliar hardware and adapt eerily well to serious ...
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Robots are prone to privacy leaks despite encryption
A new study from the University of Waterloo has unveiled major privacy weaknesses in collaborative robots—calling for ...
Two researchers at UC Berkeley and ETH Zurich have harnessed the power of OpenAI's GPT-4o large language model to teach cheap robot arms to clean up spills. It's a clever demonstration of how AI ...
CCTY, a provider of robotic and humanoid bearings and linkages, will exhibit at RoboBusiness, the leading event for robotics developers.
The study explores how quantum algorithms, particularly techniques in quantum machine learning, can enhance the performance of robots in tasks such as operation, navigation, and grasping. The core ...
This white paper describes the importance and solution for protecting smart sweeping robots. The significance of TE’s resettable circuit protection with polymer positive temperature coefficient (PPTC) ...
"We adopt an adaptive admittance control algorithm to optimize force and position control, ensuring safety and comfort," wrote Yuan Xu, Kui Huang, Weichao Guo and Leyi Du in their paper. "The paper ...
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Ant swarm simulation unlocks possibilities in materials engineering, robot navigation and traffic control
Think twice about eliminating those pesky ants at your next family picnic. Their behavior may hold the key to reinventing how ...
Researchers from North Carolina State University and Elon University have developed a technique that allows them to remotely control the movement of soft robots, lock them into position for as long as ...
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