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Wei Ji, Guozhi He, Bo Xu, Hongwei Zhang and Xiaowei Yu
During the picking process of the apple harvesting robot, the attitude of the end effector holding the apple and the movement method of separating the apple directly affect the success rate of picking. In order to improve the stability of the picking pro...
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Shuhe Zheng, Minglei He, Xuexin Jia, Zebin Zheng, Xinhui Wu and Wuxiong Weng
Agricultural robotics has emerged as a research area within robotics, with a particular focus on designing end effectors that are adapted to the physical characteristics of the target fruits. Acquiring a comprehensive understanding of the physical and me...
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Xu Xiao, Yaonan Wang and Yiming Jiang
Citrus harvesting is time-intensive and labor-intensive, relying mainly on manual harvesting. The automatic harvesting of fruit and vegetable crops can not only reduce the physical labor of fruit farmers in the harsh field environment but also greatly im...
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Piotr Palma, Karol Seweryn and Tomasz Rybus
The success of space missions like capture-and-deorbit or capture-and-service relies on the ability of the capturing satellite to establish a stable mechanical connection by its gripping tool with the object being intercepted. Most of the potential objec...
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Amado-George ?tefan, Lucian ?tefani?a Grigore, Silvia Marzavan, Iustin Priescu and Ionica Oncioiu
The underwater robot is part of a project with ?terrestrial?maritime? collaborative robots, whose mission is recognition and rescue. From a structural point of view, some small changes were made in this study to the original robot. These changes consiste...
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Gun Rae Cho, Geonhui Ki, Mun-Jik Lee, Hyungjoo Kang, Min-Gyu Kim and Ji-Hong Li
In underwater environments restricted from human access, many intervention tasks are performed by using robotic systems like underwater manipulators. Commonly, the robotic systems are tele-operated from operating ships; the operation is apt to be ineffic...
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Fidel Aznar, Mar Pujol and Ramón Rizo
This article presents a macroscopic swarm foraging behavior obtained using deep reinforcement learning. The selected behavior is a complex task in which a group of simple agents must be directed towards an object to move it to a target position without t...
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Abdul Quadir Md, Divyank Agrawal, Monark Mehta, Arun Kumar Sivaraman and Kong Fah Tee
With the pandemic gripping the entire humanity and with uncertainty hovering like a black cloud over all our future sustainability and growth, it became almost apparent that though the development and advancement are at their peak, we are still not ready...
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Kazuki Hokari, Jonas A. Pramudita, Masato Ito, Kazuya Okada and Yuji Tanabe
In this study, a grasping motion simulation method based on finite element analysis was developed for the virtual evaluation of gripping comfort while gripping a cylindrical object. The validity of the grasping motion simulation was verified by comparing...
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Bo Zhang, Qing Rui Zhang, Tao Wang and Zhuo Wang
In the process of repairing a damaged jacket with a grouting clamp, it is necessary to analyze the bearing capacity of the damaged structure to determine whether it meets requirements for maintenance and reinforcement. On the basis of previous research r...
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