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Challenges for monocular 6d object pose estimation in robotics
Object pose estimation is a core perception task that enables, for example, object
manipulation and scene understanding. The widely available, inexpensive, and high …
manipulation and scene understanding. The widely available, inexpensive, and high …
Rnnpose: 6-dof object pose estimation via recurrent correspondence field estimation and pose optimization
6-DoF object pose estimation from a monocular image is a challenging problem, where a
post-refinement procedure is generally needed for high-precision estimation. In this paper …
post-refinement procedure is generally needed for high-precision estimation. In this paper …
[HTML][HTML] Self-supervised vision transformers for 3d pose estimation of novel objects
Object pose estimation is important for object manipulation and scene understanding. In
order to improve the general applicability of pose estimators, recent research focuses on …
order to improve the general applicability of pose estimators, recent research focuses on …
Deep Learning-Based Object Pose Estimation: A Comprehensive Survey
J Liu, W Sun, H Yang, Z Zeng, C Liu, J Zheng… - ar**
K Fu, X Dang, Y Zhang - IEEE/ASME Transactions on …, 2024 - ieeexplore.ieee.org
Gras** unseen cluttered objects is a challenging task for robots due to the uncertainty in
the shape, size, and pose of objects to be grasped. In this article, we propose a novel …
the shape, size, and pose of objects to be grasped. In this article, we propose a novel …
Zero123-6d: Zero-shot novel view synthesis for rgb category-level 6d pose estimation
F Di Felice, A Remus, S Gasperini, B Busam… - ar** of manipulation …
Autonomous and reliable robotic gras** is a desirable functionality in robotic manipulation
and is still an open problem. Standardized benchmarks are important tools for evaluating …
and is still an open problem. Standardized benchmarks are important tools for evaluating …
VMLHST: Development of an Efficient Novel Virtual Reality ML Framework with Haptic Feedbacks for Improving Sports Training Scenarios
This paper presents the development of a novel virtual reality (VR) machine learning (ML)
framework that incorporates haptic feedback to improve sports training scenarios. The …
framework that incorporates haptic feedback to improve sports training scenarios. The …
GCE-Pose: Global Context Enhancement for Category-level Object Pose Estimation
A key challenge in model-free category-level pose estimation is the extraction of contextual
object features that generalize across varying instances within a specific category. Recent …
object features that generalize across varying instances within a specific category. Recent …