1.7k citations
- Kyoto UniversityJP15 papers
- RIKEN Center for Advanced Intelligence ProjectJP6 papers
- National Institute of Information and Communications TechnologyJP4 papers
- Okinawa Institute of Science and Technology Graduate UniversityJP4 papers
- RIKENJP4 papers
- The University of TokyoJP4 papers
- Hitachi (Japan)JP3 papers
- Niigata UniversityJP3 papers
- University College LondonGB3 papers
- Xi'an Jiaotong UniversityCN3 papers
- Gatsby Computational Neuroscience UnitGB2 papers
- Kyoto College of Graduate Studies for InformaticsJP2 papers
52 papers
Public Evaluation on Potential Social Impacts of Fully Autonomous Cybernetic Avatars for Physical Support in Daily-Life Environments: Large-Scale Demonstration and Survey at Avatar Land
Lotfi El Hafi, Kazuma Onishi, Shoichi Hasegawa +18
Cybernetic avatars (CAs) are key components of an avatar-symbiotic society, enabling individuals to overcome physical limitations through virtual agents and robotic assistants. Whi…
Quadrupedal Spine Control Strategies: Exploring Correlations Between System Dynamic Responses and Human Perspectives
Nicholas Hafner, Chaoran Liu, Carlos Ishi +1
Unlike their biological cousins, the majority of existing quadrupedal robots are constructed with rigid chassis. This results in motion that is either beetle-like or distinctly rob…
Correntropy-Based Improper Likelihood Model for Robust Electrophysiological Source Imaging
Yuanhao Li, Badong Chen, Zhongxu Hu +4
Bayesian learning provides a unified skeleton to solve the electrophysiological source imaging task. From this perspective, existing source imaging algorithms utilize the Gaussian…
Phase-Amplitude Reduction-Based Imitation Learning
Satoshi Yamamori, Jun Morimoto
In this study, we propose the use of the phase-amplitude reduction method to construct an imitation learning framework. Imitating human movement trajectories is recognized as a pro…
Sparse Bayesian Correntropy Learning for Robust Muscle Activity Reconstruction from Noisy Brain Recordings
Yuanhao Li, Badong Chen, Natsue Yoshimura +2
Sparse Bayesian learning has promoted many effective frameworks for brain activity decoding, especially for the reconstruction of muscle activity. However, existing sparse Bayesian…
Foundational Policy Acquisition via Multitask Learning for Motor Skill Generation
Satoshi Yamamori, Jun Morimoto
In this study, we propose a multitask reinforcement learning algorithm for foundational policy acquisition to generate novel motor skills. \textcolor{\hcolor}{Learning the rich rep…