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cs.RO2024
THÖR-MAGNI Act: Actions for Human Motion Modeling in Robot-Shared Industrial Spaces
Tiago Rodrigues de Almeida, Tim Schreiter, Andrey Rudenko +3
Accurate human activity and trajectory prediction are crucial for ensuring safe and reliable human-robot interactions in dynamic environments, such as industrial settings, with mob…
cs.RO2024
Fast Online Learning of CLiFF-maps in Changing Environments
Yufei Zhu, Andrey Rudenko, Luigi Palmieri +3
Maps of dynamics are effective representations of motion patterns learned from prior observations, with recent research demonstrating their ability to enhance various downstream ta…