Media Summary: Lu, J., Liang, Z., Xie, T., Ritcher, F., Lin, S., Liu, S., & Yip, M. C. (2024). CtRNet-X: Pose Estimation of Robots using Monocular Cameras and Deep-Learning-based Keypoint Detection Jonathan Tremblay, Stephen Tyree, Terry Mosier, Stan Birchfield. Indirect Object-to-
Camera To Robot Pose Estimation - Detailed Analysis & Overview
Lu, J., Liang, Z., Xie, T., Ritcher, F., Lin, S., Liu, S., & Yip, M. C. (2024). CtRNet-X: Pose Estimation of Robots using Monocular Cameras and Deep-Learning-based Keypoint Detection Jonathan Tremblay, Stephen Tyree, Terry Mosier, Stan Birchfield. Indirect Object-to- Keypoint detection is an essential building block for many Long version for IROS 2020 paper Jonathan Tremblay, Stephen Tyree, Terry Mosier, Stan Birchfield. Indirect Object-to- Simon Bultmann, Raphael Memmesheimer, and Sven Behnke: External
In this video, we break down the research paper **"CtRNet-X: Exercise 2 for Vision Algorithms for Mobile Monocular Camera-based Pose Estimation of Articulated Robots using Deep Learning Presented at the 3rd International Conference on Electrical Engineering 2021. Demonstration video accompanying our paper "3D Neural network trained only on synthetic data for skeletal