Abstract

The performance of prosthetic hands and robotic manipulators is severely limited by their having little or no tactile information compared to the human hand. Technologies such as MEMS, microfluidics, and nanoparticles have been used to produce arrays of force sensors, but these are generally not robust enough to mount on curved, deformable finger pads or to use in environments that include dust, fluids, sharp edges and wide temperature swings. Furthermore, it is not clear how the prosthetic controller will use the tactile information, so it is difficult to generate specifications for these sensors.

Keywords:
Tactile sensor Robotic hand Computer science Microelectromechanical systems Microfluidics Tactile display Robot Artificial intelligence Prosthetic hand Computer vision Engineering Control engineering Nanotechnology Materials science

Metrics

3
Cited By
0.53
FWCI (Field Weighted Citation Impact)
0
Refs
0.71
Citation Normalized Percentile
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Topics

Advanced Sensor and Energy Harvesting Materials
Physical Sciences →  Engineering →  Biomedical Engineering
Muscle activation and electromyography studies
Physical Sciences →  Engineering →  Biomedical Engineering
Robot Manipulation and Learning
Physical Sciences →  Engineering →  Control and Systems Engineering

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