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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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LUCA MARCHESE Aerospace_&_Defence_Machine_Learning_Company VAT:_IT0267070992 Email:_luca.marchese@synaptics.org |
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