Categories: AI/ML News

Ronaldo’s Siuuu celebration: Whole-body training model allows robots to mimic famous athlete moves

A team of AI and robotics researchers at Carnegie Mellon University, working with a pair of colleagues from technology company NVIDIA, has developed a new model for training robots to move like human athletes.

Adding audio data when training robots helps them do a better job

A combined team of roboticists from Stanford University and the Toyota Research Institute has found that adding audio data to visual data when training robots helps to improve their learning skills. The team has posted their research on the arXiv preprint server.

July 6, 2024

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Zero-shot strategy enables robots to traverse complex environments without extra sensors or rough terrain training

Two roboticists from the University of Leeds and University College London have developed a framework that enables robots to traverse complex terrain without extra sensors or prior rough terrain training. Joseph Humphreys and Chengxu Zhou outlined the details of their framework in a paper posted to the arXiv preprint server.

December 17, 2024

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A deep learning model that generates nonverbal social behavior for robots

Researchers at the Electronics and Telecommunications Research Institute (ETRI) in Korea have recently developed a deep learning-based model that could help to produce engaging nonverbal social behaviors, such as hugging or shaking someone's hand, in robots. Their model, presented in a paper pre-published on arXiv, can actively learn new context-appropriate…

November 25, 2022

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AI Generated Robotic Content