Abstract
Fresh data on Robotics are presented i n a new report. According to news reporting originating in Chongqing, People's R epublic of China, by NewsRx journalists, research stated, "Existing grasp planni ng networks often learn from labeled images with grasp examples to eliminate the need for training through physical grasp attempts. As a result, trained network s lack an understanding of the physical constraints involved in successful grasp s, leading to infeasible predictions and inaccurate evaluation." Financial supporters for this research include National Key Research & Development Program of China, National Natural Science Foundation of China (NSFC ), Science and Technology Program of Liaoning Province.
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