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Safety_Critical_Machine_Learning |
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PROgnostic Maintenance On The Edge for
Robotics (PROMOTER™) - Many robotic arms currently in operation do not have
maintenance prognostic systems and many do not even have the sensors
necessary for the detection of anomalies. We propose a solution that uses
battery-operated wireless accelerometers that can be positioned with a
precision of 1/10 of mm through locking systems that guarantee the
repeatability of the joint acceleration measurements. The sensors can be
detached to recharge the batteries and repositioned on the joints with
maximum precision. The anomaly detection system is based on Neuromem®
technology which, by learning a codebook of acceleration patterns, models the
cinematic chain of the robotic arm for a set of movements. The Neuromem®
technology is embedded inside a small form factory industrial computer that
is wireless connected with wireless sensors. We can design custom solutions
for your specific need in prognostic maintenance with existing robotic arms. |
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General Synaptics Aerospace_and_Defence_Machine_Learning_Company VAT NUMBER:_IT02670700992 REA NUMBER: GE-503104 Email:_luca.marchese@synaptics.org |
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Copyright© 2026 General Synaptics |
