Titlebook: Intelligent Robotics and Applications; 14th International C Xin-Jun Liu,Zhenguo Nie,Rui Song Conference proceedings 2021 Springer Nature Sw

雪白

Conference proceedings 2021interaction for service robots; novel mechanisms, robots and applications; space robot and on-orbit service; neural learning enhanced motion planning and control for human robot interaction; medical engineering. .

中和

0302-9743 man-robot interaction for service robots; novel mechanisms, robots and applications; space robot and on-orbit service; neural learning enhanced motion planning and control for human robot interaction; medical engineering. .978-3-030-89097-1978-3-030-89098-8Series ISSN 0302-9743 Series E-ISSN 1611-3349

使无效

Generation of Collision-Free Five-Axis Sweep Scanning Path Using Graphics Enginere only 39.3% and 20.1% of those in the traditional three-axis scanning, which manifests that the sweep scanning path helps to reduce the kinematic loads and the dynamic error of the inspection machine.

Increment

Self-learning Visual Servoing for Robot Manipulation in Unstructured Environmentsrvation. The proposed visual servoing framework is applied to a manipulator with eye-in-hand configuration no system parameters. Finally, the simulation and experimental results demonstrate consistently that the proposed algorithm outperforms traditional visual servoing approaches.

表两个

A Robot Learning from Demonstration Platform Based on Optical Motion Capturehe designed robot controller to drive a real robot. The proposed robot learning from demonstration platform, which is designed for the rapid deployment of robots in industrial production lines, is convenient for secondary development and enables non-robotics professionals to operate the robots easily.

生气地

DOREP 2.0: An Upgraded Version of Robot Control Teaching Experimental Platform with Reinforcement Les some new functional modules such as reinforcement learning and visual analysis, which further improves the performance of DOREP system. Taking the newly added module as an example, this paper expounds the functions of reinforcement learning module and visual analysis module, and applies them to simulation and experiment successfully.

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饰带

Process Learning of Robot Fabric Manipulation Based on Composite Reward Functionsl process task. Experiments are conducted on the UR5e robot to prove the effectiveness of this method, and results show that the robot guided by the composite reward function can complete the process task of fabric manipulation before garment sewing.

黑豹

Surface Crack Detection of Rubber Insulator Based on Machine Visioncated by measuring the connected domain and using the distance threshold. The experimental results show that the proposed method can effectively remove the background interference and accurately locate the cracks, with an accuracy of 94.3%.

行为

Conference proceedings 2021 2021, which took place in Yantai, China, during October 22-25, 2021..The 299 papers included in these proceedings were carefully reviewed and selected from 386 submissions. They were organized in topical sections as follows: Robotics dexterous manipulation; sensors, actuators, and controllers for s