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[HTML][HTML] A survey on deep learning-based monocular spacecraft pose estimation: Current state, limitations and prospects
Estimating the pose of an uncooperative spacecraft is an important computer vision problem
for enabling the deployment of automatic vision-based systems in orbit, with applications …
for enabling the deployment of automatic vision-based systems in orbit, with applications …
Deep learning-based object pose estimation: A comprehensive survey
J Liu, W Sun, H Yang, Z Zeng, C Liu, J Zheng… - ar** pose fusion
Mobile manipulation constitutes a fundamental task for robotic assistants and garners
significant attention within the robotics community. A critical challenge inherent in mobile …
significant attention within the robotics community. A critical challenge inherent in mobile …
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 …
One-shot imitation learning: A pose estimation perspective
In this paper, we study imitation learning under the challenging setting of:(1) only a single
demonstration,(2) no further data collection, and (3) no prior task or object knowledge. We …
demonstration,(2) no further data collection, and (3) no prior task or object knowledge. We …
Keypoints Filtrating Nonlinear Refinement in Spatial Target Pose Estimation with Deep Learning
L Zhong, S Chen, Z **, P Guo… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Spatial target pose estimation with deep learning has garnered increasing attention in
recent years. However, the existing methods in this field suffer from poor generalization. In …
recent years. However, the existing methods in this field suffer from poor generalization. In …
Mfos: Model-free & one-shot object pose estimation
Existing learning-based methods for object pose estimation in RGB images are mostly
model-specific or category based. They lack the capability to generalize to new object …
model-specific or category based. They lack the capability to generalize to new object …
[HTML][HTML] Bio-Inspired Proprioceptive Touch of a Soft Finger with Inner-Finger Kinesthetic Perception
In-hand object pose estimation is challenging for humans and robots due to occlusion
caused by the hand and object. This paper proposes a soft finger that integrates inner vision …
caused by the hand and object. This paper proposes a soft finger that integrates inner vision …
Keymatchnet: Zero-shot pose estimation in 3d point clouds by generalized keypoint matching
In this paper, we present KeyMatchNet, a novel network for zero-shot pose estimation in 3D
point clouds. Our method uses only depth information, making it more applicable for many …
point clouds. Our method uses only depth information, making it more applicable for many …