A gradient boosting classifier on nine fiber-optic strain readings detects collisions of a continuum manipulator with unknown hard and soft obstacles, without a kinematic or environment model.
IEEE Sensors Journal (2019)
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Learning to Detect Collisions for Continuum Manipulators without a Prior Model
A gradient boosting classifier on nine fiber-optic strain readings detects collisions of a continuum manipulator with unknown hard and soft obstacles, without a kinematic or environment model.