[ICCV'25 Highlight] HccePose (BF): Predicting Front & Back Surfaces to Construct Ultra-Dense 2D-3D Correspondences for Pose Estimation
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Updated
Sep 5, 2026 - Python
[ICCV'25 Highlight] HccePose (BF): Predicting Front & Back Surfaces to Construct Ultra-Dense 2D-3D Correspondences for Pose Estimation
A TensorRT and C++ based deployment of FoundationPose, which makes integration lightweight and efficient. Supports Jetson Orin. Adapted from nvidia_isaac_pose_esitimation.
7-DoF robot manipulator
PBD-AG: Persistent Baseline-Delta Active Graphs for long-horizon service robots, with G1 relocalization, safe navigation, fine inspection, 6D pose twins, VLA and Agent integration.
RGB-D 6D object pose estimation pipeline using RealSense D455, YOLOv8-seg, FoundationPose, and ROS 2.
Optimized ROS1 integration package for FoundationPose with Grounded SAM. Provides ROS1 wrapper nodes for real-time 6D object pose estimation with open-vocabulary segmentation. Includes timestamp synchronization and temporal filtering optimizations for Human Support Robot (HSR). FoundationPose and Grounded SAM are external dependencies.
Dexterous pick-and-place with Allegro hands on a dual-arm UR3/UR3e: FoundationPose 6D perception + BODex grasp synthesis, in Isaac Lab and on real hardware
ArUco markers and FoundationPose compariosn study
FoundationPose vs EKF stereo pose tracking for manipulator visual servoing on an xArm 7. Open source, MIT licensed.
面向长时序移动操作任务的具身 ReAct Agent 与双层记忆执行框架 (RealMan 复合机器人 · FoundationPose 6D 抓取)
Система машинного зрения и манипуляции. Jetson Orin Nano, RealSense D415, PyBullet/Gazebo-визуализация. Цель - полноценная система автоматизации загрузки заготовок в станок ЧПУ.
Desktop workflow for Orbbec RGB-D capture, SAM3 masks, BundleSDF object reconstruction and FoundationPose offline tracking; upstream licenses apply.
Zero-shot 6D object tracking in ROS 2 from a 3D mesh and an object name: YOLO-World + SAM 2 + FoundationPose, robot-ready poses for pick-and-place
RGB-D instance detection to FoundationPose 6D pose: detector training, runtime integration, and end-to-end development evaluation.
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