4 accepted papers
The absence of sensory feedback has been a critical challenge for myoelectric prostheses in recent years. While electrotactile feedback has emerged as an effective non-invasive solution, significant challenges remain in simultaneously ensuring real-time performance, processing EMG signals under elec…
Advanced scene understanding is crucial for robots to navigate robustly in complex 3D environments. Recent works utilize large Vision-Language Models (VLMs) to embed semantic information into reconstructed maps, thereby creating open-vocabulary scene representations for instance-aware robot navigati
Although Contrastive Language-Image Pre-training (CLIP) exhibits strong performance across diverse vision tasks, its application to person representation learning faces two critical challenges: (i) the scarcity of large-scale annotated vision-language data focused on person-centric images, and (ii)
sEMG recognition has been used extensively in prosthetic device control, human-assisting manipulators and sign language recognition, etc. However, the sEMG recognition model, trained with one subject's sEMG data, is not applicable to the other subjects, which hinders the practical application of myo…