大口水罐 发表于 2025-3-21 18:14:46
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Team UAlberta: Amazon Picking Challenge Lessons,hing and grasping objects deep inside the shelve bins. Given limited resources we come up with a simple design, a custom-made mechanism to bring objects to the edge of the shelve bins. During trials we explored both image-based visual servoing and Kinect RGB-D vision. The former, while precise, reli经典 发表于 2025-3-22 02:59:22
A Soft Robotics Approach to Autonomous Warehouse Picking,d be able to pick objects with various shape, size, and physical properties. It was shown that soft robots, thanks to the elasticity included in their structure in design, are adaptable to grasp different objects and robust to interact in unstructured environments. In this paper, we present a soft rIntroduction 发表于 2025-3-22 07:57:43
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,Standing on Giant’s Shoulders: Newcomer’s Experience from the Amazon Robotics Challenge 2017,teams to push the state of the art. In this chapter, we present the approach, design philosophy and development strategy that we followed during our participation in the Amazon Robotics Challenge 2017, a competition focused on warehouse automation. After introducing our solution, we detail the devel收藏品 发表于 2025-3-23 04:54:04
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