Co-carrying an object by robot in cooperation with humans using visual and force sensing

Yu, Xinbo; Zhang, Shuang; Liu, Yu; Li, Bin; Ma, Yinsong; Min, Gaochen

doi:10.1098/rsta.2020.0373

Cited by 3 publications

(3 citation statements)

References 34 publications

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“…The development of new media art in China began in the late 1980s. It is the epoch-making of video works by Zhang Peili at the China Modern Art Exhibition in 1989, which is the first new media practice in the history of China's new media art (Yu et al, 2021). Since then, artists' attempts at new media have never stopped.…”

Section: Related Studiesmentioning

confidence: 99%

The Psychology Analysis for Post-production of College Students’ Short Video Communication Education Based on Virtual Image and Internet of Things

Tang

2022

Front. Psychol.

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To improve the understanding of film and television postproduction for college students in the era of intelligent media, a study is conducted on college students’ short video communication education and audience psychology based on the rapid development of virtual image and the Internet of Things (IoT). Primarily, the collaborative filtering algorithm (CFA) is optimized and combined with the principle of Spark and Hadoop platforms as well as the IoT and virtual image technologies. Then, a hybrid computing model is proposed, and the two algorithms are improved and combined, with 90,000 network video records as data samples. Finally, the push accuracy of the hybrid algorithm and the traditional algorithm is calculated and compared, and based on this, a questionnaire survey on the audience psychology of short video production is carried out for college students. The results show that the time user of the combined algorithm is always at least 0.4 s faster than that of a single algorithm and the running speed of the algorithm with five nodes is nearly 80% higher than the algorithm with a single node. The Spark algorithm with multinode has good versatility in image recording and processing of large groups of college students. When processing more than 100,000 image records, the deviation values of Spark and Hadoop with a single node exceeded 1.1, but the deviation value of the hybrid algorithm was still lower than 1.1. With the increase of data volume, the deviation values of the three algorithms are increasing. Compared with the traditional CFA algorithm, the optimized algorithm has a higher speed in processing data and is more accurate in content pushing. From the questionnaire survey of college students, it is found that contemporary college students are not active in learning knowledge of virtual images. Hence, it is concluded that colleges must carry out relevant courses based on short video communication education and strengthen the short video communication education of college students. A reference is provided for the development of college students’ short video communication education in the digital age.

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Section: Related Studiesmentioning

confidence: 99%

The Psychology Analysis for Post-production of College Students’ Short Video Communication Education Based on Virtual Image and Internet of Things

Tang

2022

Front. Psychol.

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“…Using laser ranging and some basic statistical tools, the offset of the sheep’s breast profile is calculated. Force feedback can provide high fidelity for robot control (Deng et al , 2020; Lian, 2018; Yu et al , 2021). Guire uses the mixed force position control to realize the robot beef cutting (Guire et al , 2010).…”

Section: Introductionmentioning

confidence: 99%

Online path planning of pork cutting robot using 3D laser point cloud

Liu,

Ning,

et al. 2024

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Purpose The purpose of this paper is to propose an new online path planning method for porcine belly cutting. With the proliferation in demand for the automatic systems of pork production, the development of efficient and robust meat cutting algorithms are hot issues. The uncertain and dynamic nature of the online porcine belly cutting imposes a challenge for the robot to identify and cut efficiently and accurately. Based on the above challenges, an online porcine belly cutting method using 3D laser point cloud is proposed. Design/methodology/approach The robotic cutting system is composed of an industrial robotic manipulator, customized tools, a laser sensor and a PC. Findings Analysis of experimental results shows that by comparing with machine vision, laser sensor-based robot cutting has more advantages, and it can handle different carcass sizes. Originality/value An image pyramid method is used for dimensionality reduction of the 3D laser point cloud. From a detailed analysis of the outward and inward cutting errors, the outward cutting error is the limiting condition for reducing the segments by segmentation algorithm.

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“…The next article in the issue is application oriented. In this work, Yu and his colleagues discuss co-carrying an object by robots in cooperation with humans [12]. The task is performed using visual and force sensing methods.…”

Section: Introductionmentioning

confidence: 99%