Robot Pose Estimation From Depth

Neural network trained only on synthetic data for skeletal

6D Pose Estimation for Robotic Pick and Place

Introductory video of the paper "Real-time Holistic

paper available at ...

Lu, J., Liang, Z., Xie, T., Ritcher, F., Lin, S., Liu, S., & Yip, M. C. (2024). CtRNet-X: Camera-to-

Long version for IROS 2020 paper Jonathan Tremblay, Stephen Tyree, Terry Mosier, Stan Birchfield​. Indirect Object-to-

Jonathan Tremblay, Stephen Tyree, Terry Mosier, Stan Birchfield. Indirect Object-to-

Robust Keypoint Detection and

Testing

Demonstration video accompanying our paper "3D

MyungHwan Jeon and Ayoung Kim, PrimA6D: Rotational Primitive Reconstruction for Enhanced and Robust 6D

For the first time, an algorithm trained only on synthetic data is able to beat a state-of-the-art network trained on real images for ...

Authors: Kiru Park, Timothy Patten, and Markus Vincze Title: Neural Object Learning for 6D

State

Paper Title: Learning

Vision-based state and pose estimation for robotic bin picking of cables

Semi Perspective Decoupled Heatmaps for 3D

Semi Perspective Decoupled Heat maps for 3D

In a step toward home-helper

In this video, we break down the research paper **"CtRNet-X: Camera-to-