Robots cross sim gap: Aston University’s AI-based training lets robots adapt simulation-learned skills to real-world conditions with minimal extra data, boosting reliability in uncertain environments.
Two new studies introduce AI systems that use either video or photos to create simulations that can train robots to function in the real world. This could significantly lower the costs of training ...
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New AI system helps robots transfer virtual training into real-world tasks
Researchers in the UK have developed a new AI-based training method that helps robots ...
Before a potential customer buys an autonomous mobile robot solution, Locus Robotics often uses different types of simulation to determine the type of robots needed and the number needed to optimize ...
Dr Alireza Rastegarpanah co-led research to develop an AI-based method to train robots for real-life tasks such as cutting materials or assembly Current training methods are fast but can fail when a ...
A new AI-based method co-developed by Aston University's Dr Alireza Rastegarpanah could revolutionise the way advanced robotic systems are trained ...
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