Object pose estimationThe high positioning accuracy of robotic systems is fundamental and critical for dexterous and precise manipulation. In this paper, a novel accurate positioning method based on vision and tactile sensors for object pose estimation in robotic manipulation is proposed to improve the ...
[January 11th, 2024] We released the code for both training and testing settings. We are working on the demo for custom objects including detecting novel objects withCNOSand novel object pose estimation from a single reference image by reconstructing objects withWonder3D. Stay tuned!
NOPE: Novel Object Pose Estimation from a Single Image (CVPR 2024) Templates for 3D Object Pose Estimation Revisited: Generalization to New objects and Robustness to Occlusions (CVPR 2022) PIZZA: A Powerful Image-only Zero-Shot Zero-CAD Approach to 6DoF Tracking (3DV 2022) ...
FS6D: Few-Shot 6D Pose Estimation of Novel Objects Yisheng He1 Yao Wang2 Haoqiang Fan2 Jian Sun2 Qifeng Chen1 1Hong Kong University of Science and Technology 2Megvii Technology Abstract 6D object pose estimation networks are limited in their capability to scale to large numbers of obj...
We study the problem of detecting object grasp from an RGB-D image in cluttered scenes. In particular, we focus on grasping household objects by a two-finger robotic arm. Recent advances in this literature have made remarkable p...
SOCS: Semantically-aware Object Coordinate Space for Category-Level 6D Object Pose Estimation under Large Shape Variations To learn effective coordinate regression to SOCS, we propose a novel multi-scale coordinate-based attention network. Evaluations demonstrate that our method ... B Wan,Y Shi,K Xu...
Real-time 3D shape estimation is the base for the control and application of soft mani... S Zou,Y Lyu,LMG Guan - 《Journal of Control Engineering & Applied Informatics》 被引量: 0发表: 2022年 Manipulation Planning for Object Re-Orientation Based on Semantic Segmentation Keypoint Detection ...
The time-domain performance metrics such as rise time, overshoot, settling time, and steady-state error are selected as the performance evaluation metrics of the controlled object. ALA and other competitor methods including: PSO, MFO, WOA, SCA, HHO, AO, AOA, GJO, DMO, DO, LCA, COA, L...
Pose estimation of novel objects We provide pre-trained models for 6D pose estimation of novel objects. Given as inputs: an RGB image (depth can also be used but is optional), the intrinsic parameters of the camera, a mesh of the object, a bounding box of that object in the image, ou...
We present FoundationPose, a unified foundation model for 6D object pose estimation and tracking, supporting both model-based and model-free setups. Our approach can be instantly applied at test-time to a novel object without fine-tuning, as long as its CAD model is given, or a small numbe...