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Method for Measuring Rotation Angle of Faucet Handle Based on Machine Vision
2020
IEEE Access
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:Method for Measuring Rotation Angle of Faucet Handle 2 J, Chen et al. :Method for Measuring Rotation Angle of Faucet Handle 8 FIGURE 9. ...
This paper proposes a faucet rotation angle detection system that uses machine vision to measure the faucet handle's rotation angle. ...
:Method for Measuring Rotation Angle of Faucet Handle
J, Chen et al. :Method for Measuring Rotation Angle of Faucet Handle 4 ...
doi:10.1109/access.2020.3034103
fatcat:o3ukfvkkzbgkxduqetxj7up2vq
High Quality Structure from Small Motion for Rolling Shutter Cameras
2015
2015 IEEE International Conference on Computer Vision (ICCV)
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Additionally, we present a depth propagation method to fill in the holes associated with the unknown pixels based on our novel geometric guidance model. ...
To address these problems, we introduce a novel 3D reconstruction method from narrowbaseline image sequences that effectively handles the effects of a rolling shutter that occur from most of commercial ...
To interpolate the changes of rotation and translation, usually the SLERP [7, 27] method is used for rotation and a linear interpolation is used for translation. ...
doi:10.1109/iccv.2015.102
dblp:conf/iccv/ImHCJJK15
fatcat:zw6m5s55o5hopngcaredep5wp4
Ditto: Building Digital Twins of Articulated Objects from Interaction
[article]
2022
arXiv
pre-print
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This work focuses on recreating interactive digital twins of real-world articulated objects, which can be directly imported into virtual environments. ...
We employ implicit neural representations for joint geometry and articulation modeling. ...
Acknowledgments We would like to thank Yifeng Zhu for his help with real robot experiments. ...
arXiv:2202.08227v3
fatcat:7qudwqzikvgwrpdjzxnrg5yxr4
Towards data-driven stroke rehabilitation via wearable sensors and deep learning
[article]
2020
arXiv
pre-print
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This ignorance stems from the lack of objective, pragmatic approaches for measuring training doses in rehabilitation activities. ...
We performed automatic classification of these primitives using machine learning. We designed a convolutional neural network model that outperformed existing methods. ...
Table 8 describes these joint angles in detail. Table 9 shows the performance of the different machine-learning models on Test sets 1 and 2 measured using accuracy instead of balanced accuracy. ...
arXiv:2004.08297v3
fatcat:zw7za4y7ybf4ffoxsbjqxpc4xa
Leap Motion Sensor Technology Based Robo-Control System
2020
International journal of computer science and mobile computing
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We measure more applications of this robot-like: These days, varied styles of robots are even utilized in medical industries, for the case of surgeries, the medico uses either direct or through pc management ...
It is known for the key problems of electro-mechanical coming up with of bilateral golem manipulators. ...
However, originally, the rotation task is natural and so is easy to maneuver hands to rotate any object within the desired method. ...
doi:10.47760/ijcsmc.2020.v09i12.007
fatcat:brlsd6rvajclxglxmangeg6zqi
Zero-Shot Category-Level Object Pose Estimation
[article]
2022
arXiv
pre-print
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Secondly, we propose a novel method based on semantic correspondences from a self-supervised vision transformer to solve the pose estimation problem. ...
Object pose estimation is an important component of most vision pipelines for embodied agents, as well as in 3D vision more generally. ...
We thank Dylan Campbell, Nived Chebrolu and Matias Mattamala for many useful discussions. ...
arXiv:2204.03635v2
fatcat:2p6iehgp5ncqza37hl2kh5zds4
Learning Articulated Motion Models from Visual and Lingual Signals
[article]
2016
arXiv
pre-print
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By exploiting the complementary nature of the visual and lingual input, our method infers correct kinematic structures for various multiple-part objects on which the previous state-of-the-art, visual-only ...
We evaluate our multimodal learning framework on a dataset comprised of a variety of household objects, and demonstrate a 36% improvement in model accuracy over the vision-only baseline. ...
Our method bests the vision-only baseline in estimating the full kinematic graph for five of the eight objects, matching its performance on the remaining three objects. ...
arXiv:1511.05526v2
fatcat:rrv2bp34vjcjlcdt7q7awlvk3e
ManiSkill2: A Unified Benchmark for Generalizable Manipulation Skills
[article]
2023
arXiv
pre-print
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, are not based on fully dynamic simulation, or are short of native support for multiple types of manipulation tasks. ...
Generalizable manipulation skills, which can be composed to tackle long-horizon and complex daily chores, are one of the cornerstones of Embodied AI. ...
TurnFaucet • Objective: Turn on a faucet by rotating its handle. • Success Metric: The faucet handle has been turned past a target angular distance. • Demonstration Format: For most faucet models, we provide ...
arXiv:2302.04659v1
fatcat:s475dh76x5bhrhz56zib2kap44
Multi-body SE(3) Equivariance for Unsupervised Rigid Segmentation and Motion Estimation
[article]
2023
arXiv
pre-print
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We conduct experiments on four datasets to demonstrate the superiority of our method. ...
To the best of our knowledge, this is the first work designed for category-agnostic part-level SE(3) equivariance in dynamic point clouds. ...
We are grateful to all of the anonymous reviewers for their valuable comments. ...
arXiv:2306.05584v2
fatcat:epneijw7mrc3jcj4qun2b75iee
Learning to see like children: proof of concept
[article]
2014
arXiv
pre-print
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In the last few years we have seen a growing interest in machine learning approaches to computer vision and, especially, to semantic labeling. ...
Based on this remark, we propose a re-foundation of the communication protocol between visual agents and the environment, which is referred to as learning to see like children. ...
Acknowledgment The results coming from this research couldn't have been achieved without the contribution of many people, who have provided suggestions and supports in different forms. ...
arXiv:1408.2478v1
fatcat:s4ww5elkzzfr7iyrcjo7jhalnq
See, Imagine, Plan: Discovering and Hallucinating Tasks from a Single Image
[article]
2024
arXiv
pre-print
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We develop a modular pipeline that progressively enhances scene decomposition, comprehension, and reconstruction, incorporating VLM for dynamic interaction and 3D motion planning for object trajectories ...
Our model can discover diverse tasks, with the generated task videos demonstrating realistic and compelling visual outcomes that are understandable by both machines and humans. ...
method for partial reconstruction of the 3D scene focuses on full representation of foreground objects while simplifying the inpainted background as a plane. ...
arXiv:2403.13438v3
fatcat:kyc63rrfifgj5dkzrfitf6gj7y
Accelerating Robotic Reinforcement Learning via Parameterized Action Primitives
[article]
2021
arXiv
pre-print
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Addressing this problem is an active area of research with the majority of focus on improving RL methods via better optimization or more efficient exploration. ...
Despite the potential of reinforcement learning (RL) for building general-purpose robotic systems, training RL agents to solve robotics tasks still remains challenging due to the difficulty of exploration ...
Acknowledgments We thank Shikhar Bahl, Ben Eyesenbach, Aravind Sivakumar, Rishi Veerapaneni, Russell Mendonca and Paul Liang for feedback on early drafts of this paper. ...
arXiv:2110.15360v1
fatcat:5b6eobkxp5dmdhwlygkqglfz2y
Solar Energy Scenarios
2012
IOSR Journal of Mechanical and Civil Engineering
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for the state. ...
The Crises of energy has been increased over the years due to increasing world population and expansion of global industries especially for food and basic requirements. ...
Acknowledgement The authors are grateful to the college for their cooperation and encouragement to carry out the work. ...
doi:10.9790/1684-0120103
fatcat:a6xuj7w3wrbahfhga7s3udwrh4
VAT-Mart: Learning Visual Action Trajectory Proposals for Manipulating 3D ARTiculated Objects
[article]
2022
arXiv
pre-print
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The space of 3D articulated objects is exceptionally rich in their myriad semantic categories, diverse shape geometry, and complicated part functionality. ...
., cabinets, doors) in human environments is an important yet challenging task for future home-assistant robots. ...
We use the 6D-rotation representation (Zhou et al., 2019) for the orientation of wp 0 and predict 3-DoF euler angles for subsequent orientation changes. ...
arXiv:2106.14440v2
fatcat:3c5upexjkrdwzgje2xusyskfci
Biosensing on the Centrifugal Microfluidic Lab-on-a-Disc Platform
2020
Processes
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Finally, an overview of current devices on the market is provided. ...
This review considers the basics of the centrifugal microfluidics and describes recent developments in common biosensing methods and novel technologies for fluidic control and automation. ...
The use of strobe flash as light source to fluorescence allowed measurements on rotating disc [149] . ...
doi:10.3390/pr8111360
fatcat:imfjzeso7ffofgfqzqyjd6ofmy
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