8 citations · 9 across the 4 of their papers we have counts for
5 papers
When One Step Is Enough: An Empirical Study of Euler Integration in Flow-Matching Policies
Shivakanth Sujit, Luca Nunziante, Rousslan Fernand Julien Dossa +1
Flow matching is now the dominant approach for vision-language action (VLA) robot policies, thanks to its expressiveness and simple training objective. However, inference for stand…
An Augmented Reality Brain-Robot Interface for Generalist Robot Arm Manipulation
Shangkai Zhang, Rousslan Fernand Julien Dossa, Luca Nunziante +2
The integration of augmented reality (AR) and EEG-based brain-computer interfaces (BCIs) offers a promising path for enabling intuitive control of robots for assistive purposes. Ho…
Improving Low-Cost Teleoperation: Augmenting GELLO with Force
Shivakanth Sujit, Luca Nunziante, Dan Ogawa Lillrank +2
In this work we extend the low-cost GELLO teleoperation system, initially designed for joint position control, with additional force information. Our first extension is to implemen…
A Silent Speech Decoding System from EEG and EMG with Heterogenous Electrode Configurations
Masakazu Inoue, Motoshige Sato, Kenichi Tomeoka +5
Silent speech decoding, which performs unvocalized human speech recognition from electroencephalography/electromyography (EEG/EMG), increases accessibility for speech-impaired huma…
Scaling Law in Neural Data: Non-Invasive Speech Decoding with 175 Hours of EEG Data
Motoshige Sato, Kenichi Tomeoka, Ilya Horiguchi +3
Brain-computer interfaces (BCIs) hold great potential for aiding individuals with speech impairments. Utilizing electroencephalography (EEG) to decode speech is particularly promis…