首页|New Findings Reported from Qingdao University of Science and Technology Describe Advances in Robotics (Vision-based Robotic Peg-in-hole Research: Integrating Ob ject Recognition, Positioning, and Reinforcement Learning)
New Findings Reported from Qingdao University of Science and Technology Describe Advances in Robotics (Vision-based Robotic Peg-in-hole Research: Integrating Ob ject Recognition, Positioning, and Reinforcement Learning)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Investigators publish new report on Robotics. According to news reporting out of Shandong, People’s Republic of China, by NewsRx editors, research stated, “The peg-in-hole task is important in robotics. Visual inspection is a crucial method for recognition and positioning duringthis task.”
ShandongPeople’s Republic of ChinaAsiaEmerging TechnologiesMachine LearningReinforcement LearningRobotRobo ticsRobotsQingdao University of Science and Technology
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