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Industrial Application of 6D Pose Estimation for Robotic Manipulation in Automotive Internal Logistics
April 10, 2024, 4:43 a.m. | Philipp Quentin, Dino Knoll, Daniel Goehring
cs.LG updates on arXiv.org arxiv.org
Abstract: Despite the advances in robotics a large proportion of the of parts handling tasks in the automotive industry's internal logistics are not automated but still performed by humans. A key component to competitively automate these processes is a 6D pose estimation that can handle a large number of different parts, is adaptable to new parts with little manual effort, and is sufficiently accurate and robust with respect to industry requirements. In this context, the question …
abstract advances application arxiv automate automated automotive cs.cv cs.lg cs.ro humans industrial industry key logistics manipulation processes robotic robotic manipulation robotics tasks type
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