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- W3210241395 abstract "The bionic robotic arm has the characteristics of high safety, lightweight and portability, which can assist humans in completing various daily activities in life. Based on the research background of human-machine collaboration and simulating its experimental environment, a vision-assisted grasping framework for collaborative robots serving humans is proposed, and a discrimination scheme based on the combination of the shortest path and gIOU is designed. We can interact with the robotic grasping system by directly gazing at the object of interest. The gaze coordinates are provided by an eye tracker, which is matched with the image of the target detection algorithm to obtain the grasping information, and the signal is transmitted to the grasping system. The grasping system executes the grasping operation through the robotic arm after calculating the target pose, and implements the automatic grasping target by gazing at the target object. The experimental results show that this framework has good positioning accuracy and can effectively complete daily grasping tasks." @default.
- W3210241395 created "2021-11-08" @default.
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- W3210241395 date "2021-01-01" @default.
- W3210241395 modified "2023-09-24" @default.
- W3210241395 title "Collaborative Robot Grasping System Based on Gaze Interaction" @default.
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- W3210241395 doi "https://doi.org/10.1007/978-981-16-7213-2_8" @default.
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