Feb. 9, 2024, 5:46 a.m. | Shikun Ban Juling Fan Wentao Zhu Xiaoxuan Ma Yu Qiao Yizhou Wang

cs.CV updates on arXiv.org arxiv.org

Estimating robot pose from RGB images is a crucial problem in computer vision and robotics. While previous methods have achieved promising performance, most of them presume full knowledge of robot internal states, e.g. ground-truth robot joint angles, which are not always available in real-world scenarios. On the other hand, existing approaches that estimate robot pose without joint state priors suffer from heavy computation burdens and thus cannot support real-time applications. This work addresses the urgent need for efficient robot pose …

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