首页|Findings from University of Science and Technology Beijing Reveals New Findings on Robotics (A Branch-and-bound Based Globally Optimal Solution To 2d Multi-robo t Relative Pose Estimation Problems)
Findings from University of Science and Technology Beijing Reveals New Findings on Robotics (A Branch-and-bound Based Globally Optimal Solution To 2d Multi-robo t Relative Pose Estimation Problems)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Investigators discuss new findings in Robotics. According to news originating from Beijing, People’s Republic of China , by NewsRx correspondents, research stated, “The relative pose estimation probl em is important for multi-robot systems when they execute a variety of tasks coo peratively, such as cooperative sensing, multi-robot search and rescue, formatio n control. The finding of reliable solutions to this problem is essential, howev er, algorithms that guarantee to provide globally optimal solutions are still in demand.”
BeijingPeople's Republic of ChinaAsiaEmerging TechnologiesMachine LearningRobotRoboticsUniversity of Scien ce and Technology Beijing
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