首页|Reports from Beijing Institute of Technology Advance Knowledge in Robotics (Glob al Footstep Planning With Greedy and Heuristic Optimization Guided By Velocity f or Biped Robot)
Reports from Beijing Institute of Technology Advance Knowledge in Robotics (Glob al Footstep Planning With Greedy and Heuristic Optimization Guided By Velocity f or Biped Robot)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Current study results on Robotics have been published. According to news reporting from Beijing, People’s Republic of China, by NewsRx journalists, research stated, “In order to give full play to th e unique movement capabilities of biped robots that are different from tradition al mobile robots, and to improve the ability to adapt to the environment, planni ng an appropriate global footstep sequences is an important way. In this article , we proposed Greedy and Heuristic Quadratic Programming(GH-QP) based on the Qua dratic Programming(QP) method to achieve global footsteps for biped robots.”
BeijingPeople’s Republic of ChinaAsi aEmerging TechnologiesMachine LearningNano-robotRobotRoboticsBeijing Institute of Technology
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