ArticleSensors (Basel, Switzerland)2023
Slip Detection Strategies for Automatic Grasping in Prosthetic Hands.
Article in Sensors (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed.
- A Bioinspired, Multimodal Soft Tactile Skin with Task-Adaptive Perception for Intelligent Robotic Manipulation.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- A Lightweight and Versatile Prosthetic Hand for Daily Grasping.Biomimetics (Basel, Switzerland) · 2026Article
- Autonomous Slip-Prevention Grip Force Control and Its Potential in Shared Control of Robotic Prosthetic Hands.IEEE transactions on medical robotics and bionics · 2026Article
- Shared human-machine control of an intelligent bionic hand improves grasping and decreases cognitive burden for transradial amputees.Nature communications · 2025Article
- Soft Shear Sensing of Robotic Twisting Tasks Using Reduced-Order Conductivity Modeling.Sensors (Basel, Switzerland) · 2025Article
- Research on Adaptive Grasping with a Prosthetic Hand Based on Perceptual Information on Hardness and Surface Roughness.Micromachines · 2024Article
Corrections and comments
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Authors and funding
1 author.
Funding
Abstract
The detection of an object slipping within the grasp of a prosthetic hand enables the hand to react to ensure the grasp is stable. The computer controller of a prosthetic hand needs to be able to unambiguously detect the slide from other signals. Slip can be detected from the surface vibrations made as the contact between object and terminal device shifts. A second method measures the changes in the normal and tangential forces between the object and the digits. After a review of the principles of how the signals are generated and the detection technologies are employed, this paper details the acoustic and force sensors used in versions of the Southampton Hand. Attention is given to the techniques used in the field. The performance of the Southampton tube sensor is explored. Different surfaces are slid past a sensor and the signals analysed. The resulting signals have low-frequency content. The signals are low pass filtered and the resulting processing results in a consistent response across a range of surfaces. These techniques are fast and not computationally intensive, which makes them practical for a device that is to be used daily in the field.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.