首页|New Robotics Study Results Reported from Huazhong University of Science and Tech nology (Network Convergence Indicator for Efficient Robot Grasping Pose Detectio n Under Limited Computation Resource)
New Robotics Study Results Reported from Huazhong University of Science and Tech nology (Network Convergence Indicator for Efficient Robot Grasping Pose Detectio n Under Limited Computation Resource)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Fresh data on Robotics are presented i n a new report. According to news originating from Wuhan, People’s Republic of C hina, by NewsRx correspondents, research stated, “Industrial edge computing devi ces typically have limited computational performance. Current high-precision gra sping pose detection models are often over-parameterized, resulting in computati onal inefficiency and making it difficult to deploy on industrial robots.” Financial support for this research came from National Key Research and Developm ent Program of China.
WuhanPeople's Republic of ChinaAsiaEmerging TechnologiesMachine LearningRobotRoboticsHuazhong University o f Science and Technology
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