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Such a system would provide individuals with limb loss with a very easy-to-use prosthetic control interface and may help reduce mental effort while u","title":"Towards Biosignals-Free Autonomous Prosthetic Hand Control via Imitation Learning","url":"https://arxiv.org/abs/2506.08795","vendor":"arxiv_cs_ai"},"summary":"arXiv:2506.08795v2 Announce Type: replace-cross \nAbstract: Limb loss affects millions globally, impairing physical function and reducing quality of life. Most traditional surface electromyographic (sEMG) and semi-autonomous methods require users to generate myoelectric signals for each control, imposing physically and mentally taxing demands. This study aims to develop a fully autonomous control system that enables a prosthetic hand to automatically grasp and release objects of various shapes using only a camera attached to the wrist. 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