5 accepted papers
The myoelectric gesture recognition technology based on wearable armbands provides a natural and portable solution for human-robot interaction (HRI). However, various interferences during practical interactions can severely degrade the recognition model's performance, leading to reduced interaction
Iris motion tracking is critical for discriminating the iris stiffness and developmental stage of primary angle-closure disease (PACD). Anterior segment optical coherence tomography (AS-OCT) video is a highly efficient approach to observe the morphological determinant in iris motion. However, the ir…
Slip detection and control is critical to achieving stable grasping in robotics. However, accurate and robust slip detection and control remains a challenging task. This letter proposes a learning framework with contrastive learning and feature alignment to improve the accuracy of end-to-end slip de
Individual physiological differences constrain the cross-user application of joint angle estimation models based on surface electromyography (sEMG) signals. Current cross-user methods for myoelectric joint angle estimation often involve the use of angle or optical sensors, which increases the traini
Anthropomorphic robotic hands are seeking to achieve key features such as multi-degree-of-freedom motion ability, bi-directional actuation, high adaptability, and sufficient stiffness. In this research, we propose a 10 active degrees-of-freedom anthropomorphic robotic hand with a soft-rigid hybrid s