2 papers
eess.SP2026
Generative versus Discriminative Approaches for Class-Incremental Learning of EMG Signals: Effectiveness of Scale Mixture Modeling
Seitaro Yoneda, Suguru Kanoga, Akira Furui
In electromyogram (EMG)-based motion recognition, it is impractical to predefine all motions that may be required during deployment, necessitating class-incremental learning that s…
cs.RO2024
Unsupervised Neural Motion Retargeting for Humanoid Teleoperation
Satoshi Yagi, Mitsunori Tada, Eiji Uchibe +3
This study proposes an approach to human-to-humanoid teleoperation using GAN-based online motion retargeting, which obviates the need for the construction of pairwise datasets to i…