3 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
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