FingerSLAM: Closed-loop Unknown Object Localization and Reconstruction from Visuo-tactile Feedback

Author:

Zhao Jialiang1,Bauza Maria2,Adelson Edward H.1

Affiliation:

1. Massachusetts Institute of Technology,Computer Science and Artificial Intelligence Lab

2. Massachusetts Institute of Technology,Mechanical Engineering

Publisher

IEEE

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

Cited by 5 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

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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