arXiv Machine Learning By Jia Quan Loh (Human Robotics Laboratory, Department of Mechanical Engineering, The University of Melbourne), Vincent Crocher (Human Robotics Laboratory, Department of Mechanical Engineering, The University of Melbourne), Marlena Klaic (Melbourne School of Health Sciences, The University of Melbourne), Denny Oetomo (Human Robotics Laboratory, Department of Mechanical Engineering, The University of Melbourne), Ying Tan (Human Robotics Laboratory, Department of Mechanical Engineering, The University of Melbourne)

Learning Varying Physical Therapist-Patient Interactions for Robot-mediated Upper Limb Task-Specific Training

Read the original on arXiv Machine Learning →

arXiv:2608. 15995v1 Announce Type: cross Abstract: Upper extremity motor function recovery is positively linked to Task-Specific Training (TST) and sufficient therapy dosage.

Summary generated by The Flow from the publisher's feed. The full article lives at arXiv Machine Learning.

arXiv AI
2d ago

AdvDex: Learning Dexterous Manipulation from Human Demonstrations via Joint-Aligned Actions and Adversarial Learning

arXiv:2608. 14028v1 Announce Type: cross Abstract: Dexterous manipulation is a fundamental capability for embodied intelligence, but scaling it remains difficult because robot demonstrations are expensive to collect and action spaces vary across embodiments.

By Zhiyue Zhao, Jingyi Wu, Hairuo Liu, Mingyu Liu, Liyang Li, Hengdi Zhang, Tong He, Zhengxue Cheng