Archive 06.12.2023

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Researchers develop reprogrammable bistable soft gripper for enhanced human-machine interaction

Soft grippers have advantages in human-machine interactions, but most of them suffer from low response time. Bistable structures could improve this characteristic, but the performance of current bistable grippers is limited by their predefined structural parameters and grasping modes.

Artificial intelligence makes gripping of prosthetic hands more intuitive

Artificial hands can be operated via app or with sensors placed in the muscles of the forearm. New research from the Technical University of Munich (TUM) shows that a better understanding of muscle activity patterns in the forearm supports a more intuitive and natural control of artificial limbs. This requires a network of 128 sensors and AI-based techniques.
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