FingerSLAM: Closed-loop Unknown Object Localization and Reconstruction from Visuo-tactile Feedback
Author:
Affiliation:
1. Massachusetts Institute of Technology,Computer Science and Artificial Intelligence Lab
2. Massachusetts Institute of Technology,Mechanical Engineering
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10160211/10160212/10161489.pdf?arnumber=10161489
Reference38 articles.
1. Tac2pose: Tactile object pose estimation from the first touch;bauza;ArXiv Preprint,2022
2. Mobilenets: Efficient convolutional neural networks for mobile vision applications;howard;ArXiv Preprint,2017
3. Tactile Mapping and Localization from High-Resolution Tactile Imprints
4. ShapeMap 3-D: Efficient shape mapping through dense touch and vision
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1. SimPLE, a visuotactile method learned in simulation to precisely pick, localize, regrasp, and place objects;Science Robotics;2024-06-26
2. AcTExplore: Active Tactile Exploration on Unknown Objects;2024 IEEE International Conference on Robotics and Automation (ICRA);2024-05-13
3. TEXterity: Tactile Extrinsic deXterity;2024 IEEE International Conference on Robotics and Automation (ICRA);2024-05-13
4. Embedded Object Detection and Mapping in Soft Materials Using Optical Tactile Sensing;SN Computer Science;2024-03-29
5. GelSight Svelte: A Human Finger-Shaped Single-Camera Tactile Robot Finger with Large Sensing Coverage and Proprioceptive Sensing;2023 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS);2023-10-01
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