RF-guided exploration for robotic manipulation

Thesis: S.M., Massachusetts Institute of Technology, School of Architecture and Planning, Program in Media Arts and Sciences, September, 2020

Bibliographic Details
Main Author: Leng, Junshan.
Other Authors: Fadel Adib.
Format: Thesis
Language:eng
Published: Massachusetts Institute of Technology 2021
Subjects:
Online Access:https://hdl.handle.net/1721.1/130211
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author Leng, Junshan.
author2 Fadel Adib.
author_facet Fadel Adib.
Leng, Junshan.
author_sort Leng, Junshan.
collection MIT
description Thesis: S.M., Massachusetts Institute of Technology, School of Architecture and Planning, Program in Media Arts and Sciences, September, 2020
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institution Massachusetts Institute of Technology
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last_indexed 2024-09-23T13:50:16Z
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publisher Massachusetts Institute of Technology
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spelling mit-1721.1/1302112021-03-23T03:16:23Z RF-guided exploration for robotic manipulation Radiofrequency-guided exploration for robotic manipulation Leng, Junshan. Fadel Adib. Program in Media Arts and Sciences (Massachusetts Institute of Technology) Program in Media Arts and Sciences (Massachusetts Institute of Technology) Program in Media Arts and Sciences Thesis: S.M., Massachusetts Institute of Technology, School of Architecture and Planning, Program in Media Arts and Sciences, September, 2020 Cataloged from student-submitted PDF of thesis. Includes bibliographical references (pages [48]-[53]). This thesis presents the design, implementation, and evaluation of RVExp, a system that leverages radio perception to design efficient exploration controllers in highly occluded and non-line-of-sight settings. RVExp relies on eye-in-hand vision sensor and battery-less RFID tags attached to the object of interest. Since RF (radio frequency) signals can traverse everyday occlusions, RVExp uses the RFIDs' signals to locate an object through occlusions. At the heart of RVExp's design is a novel radio-visual planner that uses the RFID's location to semantically explore the environment and plan an efficient trajectory toward an occluded target object. The controller can efficiently discover obstacles by biasing a Gaussian belief space planner using the RFID's location. I have built RVExp end-to-end and evaluated its performance in challenging real-world environments. The results show the feasibility of RF-guided exploration and its superiority over standard exploration. by Junshan Leng. S.M. S.M. Massachusetts Institute of Technology, School of Architecture and Planning, Program in Media Arts and Sciences 2021-03-22T17:23:48Z 2021-03-22T17:23:48Z 2020 2020 Thesis https://hdl.handle.net/1721.1/130211 1241686235 eng MIT theses may be protected by copyright. Please reuse MIT thesis content according to the MIT Libraries Permissions Policy, which is available through the URL provided. http://dspace.mit.edu/handle/1721.1/7582 53 unnumbered pages application/pdf Massachusetts Institute of Technology
spellingShingle Program in Media Arts and Sciences
Leng, Junshan.
RF-guided exploration for robotic manipulation
title RF-guided exploration for robotic manipulation
title_full RF-guided exploration for robotic manipulation
title_fullStr RF-guided exploration for robotic manipulation
title_full_unstemmed RF-guided exploration for robotic manipulation
title_short RF-guided exploration for robotic manipulation
title_sort rf guided exploration for robotic manipulation
topic Program in Media Arts and Sciences
url https://hdl.handle.net/1721.1/130211
work_keys_str_mv AT lengjunshan rfguidedexplorationforroboticmanipulation
AT lengjunshan radiofrequencyguidedexplorationforroboticmanipulation