Temporally Consistent Object 6D Pose Estimation for Robot Control
We present a factor graph-based method to enforce temporal consistency in single-view RGB object pose estimation for robot control. By incorporating motion models, estimating measurement uncertainty, and performing online optimization, our approach improves pose stability and robustness. We validate its effectiveness on benchmarks and in real-time feedback control with a camera-mounted robot arm.
Jan 1, 2025
