Today's intelligent robots can accurately recognize many objects through vision and touch. Tactile information, obtained through sensors, along with machine learning algorithms, enables robots to identify objects previously handled.
The researchers aimed to mimic the human ability of thermal feeling through a robotic tactile sensing method, enhancing object detection accuracy by perceiving multi-attributes of the grasped object.
Efficient cascade classification algorithms help robots differentiate between objects of varying complexity, starting from simple categories like empty cartons to more intricate items such as orange peels or cloth remnants.
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