Dynamic manipulation skill learning for tactile myoelectric prosthetic hands in tool handling
Peer-Reviewed Publication
Updates every hour. Last Updated: 29-Oct-2026 02:16 ET (29-Oct-2026 06:16 GMT/UTC)
A research paper by scientists from Beijing University of Posts and Telecommunications designed a multimodal controller termed the tactile, kinesthetic, and electromyography (EMG) bionic gripping controller (TKE-BGC).
The new research paper, published on May. 13 in the journal Cyborg and Bionic Systems, developed a bioinspired control framework that dramatically improves prosthetic hand stability during such dynamic tasks.
A research paper by scientists from Capital Medical University proposed a diffusion tensor imaging (DTI)-based DenseNet to identify SVCI from subcortical ischemic vascular disease (SIVD) and to profile multidomain cognitive risks.
The new research paper, published on May. 13 in the journal Cyborg and Bionic Systems, developed a deep‑learning framework that uses routine diffusion tensor imaging to both identify SVCI and profile an individual’s domain‑specific cognitive weaknesses.
Now, a team at Peking University and collaborating institutions has established a single-molecule platform for real-time, from-the-start monitoring of asymmetric evolution in a Diels–Alder reaction. Using graphene–molecule–graphene single-molecule junctions together with the chirality-induced spin selectivity effect, the researchers directly observed spontaneous mirror-symmetry breaking, identified the molecular origin of reaction chirality, and further demonstrated catalyst-free on-line asymmetric synthesis under electrical control.