AI RESEARCH

Temporally Consistent Object 6D Pose Estimation for Robot Control

arXiv CS.CV

ArXi:2605.02708v1 Announce Type: cross Single-view RGB object pose estimators have reached a level of precision and efficiency that makes them good candidates for vision-based robot control. However, off-the-shelf methods lack temporal consistency and robustness that are mandatory for a stable feedback control. In this work, we develop a factor graph approach to enforce temporal consistency of the object pose estimates.