Zobrazeno 1 - 6
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pro vyhledávání: '"Ichiwara, Hideyuki"'
Publikováno v:
IEEE Robotics and Automation Letters, vol. 8, issue 3, pp. 1834-1841, 2023
Anchor-bolt insertion is a peg-in-hole task performed in the construction field for holes in concrete. Efforts have been made to automate this task, but the variable lighting and hole surface conditions, as well as the requirements for short setup an
Externí odkaz:
http://arxiv.org/abs/2312.16438
While deep learning enables real robots to perform complex tasks had been difficult to implement in the past, the challenge is the enormous amount of trial-and-error and motion teaching in a real environment. The manipulation of moving objects, due t
Externí odkaz:
http://arxiv.org/abs/2309.12547
We achieved contact-rich flexible object manipulation, which was difficult to control with vision alone. In the unzipping task we chose as a validation task, the gripper grasps the puller, which hides the bag state such as the direction and amount of
Externí odkaz:
http://arxiv.org/abs/2112.06442
Deep learning provides a powerful framework for automated acquisition of complex robotic motions. However, despite a certain degree of generalization, the need for vast amounts of training data depending on the work-object position is an obstacle to
Externí odkaz:
http://arxiv.org/abs/2103.01598
Akademický článek
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Publikováno v:
2022 International Conference on Robotics and Automation (ICRA).
We achieved contact-rich flexible object manipulation, which was difficult to control with vision alone. In the unzipping task we chose as a validation task, the gripper grasps the puller, which hides the bag state such as the direction and amount of