Titlebook: Intelligent Robotics and Applications; 12th International C Haibin Yu,Jinguo Liu,Dalin Zhou Conference proceedings 2019 Springer Nature Swi

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书目名称Intelligent Robotics and Applications影响因子(影响力)




书目名称Intelligent Robotics and Applications影响因子(影响力)学科排名




书目名称Intelligent Robotics and Applications网络公开度




书目名称Intelligent Robotics and Applications网络公开度学科排名




书目名称Intelligent Robotics and Applications被引频次




书目名称Intelligent Robotics and Applications被引频次学科排名




书目名称Intelligent Robotics and Applications年度引用




书目名称Intelligent Robotics and Applications年度引用学科排名




书目名称Intelligent Robotics and Applications读者反馈




书目名称Intelligent Robotics and Applications读者反馈学科排名

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Intelligent Robotics and Applications978-3-030-27529-7Series ISSN 0302-9743 Series E-ISSN 1611-3349

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内部

A Modified Cartesian Space DMPs Model for Robot Motion Generationwhich adds a dynamical quaternions goal subsystem to make the generated cartesian space twist more smooth and steady in the initial stage in this paper. This DMPs variant can be useful in some robot tasks which often require low speed operations, such as contact operation.

系列

A Methodology for Multi-goal Trajectory Planning in Weldingnd a smoothing algorithm is proposed to remove the redundant vertices. A simulation is presented to show that the proposed algorithms are effective and an experiment is conducted to illustrate that the trajectories meet the welding requirements.

Kindle

Continuous Path Planning for Free-Floating Space Manipulator Based on Genetic Algorithmnd then objective function is designed considering the end-effector position, the obstacle avoidance, and the trajectory cost. Finally, the Genetic algorithm is employed to search for the suitable values of the polynomial coefficients to optimize the objective function. The simulation verifies the effectiveness of the proposed method.

忍受

Conference proceedings 2019 ICIRA 2019, held in Shenyang, China, in August 2019. ..The total of 378 full and 25 short papers presented in these proceedings was carefully reviewed and selected from 522 submissions. The papers are organized in topical sections as follows:.Part I:. collective and social robots; human biomechanic

领先

Research on Optimization of Control Parameters of Coal Sampling Robot Based on Model and Neural Netwservo system. The combination of model-based control parameter tuning and improved BP neural network control parameter optimization is adopted to improve the system’s ability to adapt to the load and improve the performance of system.