A new teleoperated robotic system developed for lunar missions enables precise remote collection of moon dust. This technology enhances efficiency and reduces costs, offering improved simulation-based operations for future lunar exploration and resource management.
Researchers have presented an exciting study exploring the latest advancements in deep reinforcement learning (DRL) for coordinating highway lane changes, ramp merges, and vehicle platoons.
According to a study published in the Royal Society Open Science journal by researchers at the University of Birmingham, virtual reality with a physics background may hold the key to lowering the exposure of cyclists and pedestrians to dangerous, non-exhaust vehicle emissions.
Calyo, Benedex Robotics, and Cranfield University have collaborated to increase the safety of self-driving vehicles.
Researchers from North Carolina State University developed a method that uses two-dimensional images taken by multiple cameras to improve the mapping of three-dimensional spaces by artificial intelligence (AI) programs.
In a study published in the British Medical Journal (BMJ) of Injury Prevention, Dr. Quynh Nguyen, an epidemiologist and statistician at the University of Maryland School of Public Health, employed AI tools to pinpoint crucial environmental factors influencing car-related collisions, as well as accidents involving cyclists and pedestrians.
Researchers introduce a novel control scheme in Electronics journal to improve the trajectory tracking accuracy of car-like mobile robots (CLMRs) amidst modeling errors and external disturbances. By combining an extended state observer (ESO) and a backstepping controller, they effectively estimate and compensate for system uncertainties, promising enhanced performance for various CLMR applications.
A recent Bar-Ilan University study has reached a watershed moment in the field of artificial intelligence (AI) by answering a basic question: Can deep learning systems attain well above-average confidence for a major fraction of inputs while retaining overall average confidence?
Researchers unveiled Easy Rocap, a groundbreaking open-source motion capture system designed specifically for unmanned platforms like drones.
The notion of objects vanishing seamlessly, not only in controlled lab settings but also in everyday situations, has long fascinated people.
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