Visibility-Aware Navigation Among Movable Obstacles

We examine the problem of visibility-aware robot navigation among movable obstacles (VANAMO). A variant of the well-known NAMO robotic planning problem, VANAMO puts additional visibility constraints on robot motion and object movability. This new problem formulation lifts the restrictive assumption...

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Main Author: Muguira Iturralde, Jose
Other Authors: Lozano-Pérez, Tomás
Format: Thesis
Published: Massachusetts Institute of Technology 2023
Online Access:https://hdl.handle.net/1721.1/150289
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author Muguira Iturralde, Jose
author2 Lozano-Pérez, Tomás
author_facet Lozano-Pérez, Tomás
Muguira Iturralde, Jose
author_sort Muguira Iturralde, Jose
collection MIT
description We examine the problem of visibility-aware robot navigation among movable obstacles (VANAMO). A variant of the well-known NAMO robotic planning problem, VANAMO puts additional visibility constraints on robot motion and object movability. This new problem formulation lifts the restrictive assumption that the map is fully visible and the object positions are fully known. We provide a formal definition of the VANAMO problem and propose the Look and Manipulate Backchaining (LaMB) algorithm for solving such problems. LaMB has a simple vision-based API that makes it more easily transferable to real-world robot applications and scales to large 3D environments. To evaluate LaMB, we construct a set of tasks that illustrate the complex interplay between visibility and object movability that can arise in mobile base manipulation problems in unknown environments. We show that LaMB outperforms NAMO and visibility-aware motion planning approaches as well as simple combinations of them on complex manipulation problems with partial observability.
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spelling mit-1721.1/1502892023-04-01T03:32:29Z Visibility-Aware Navigation Among Movable Obstacles Muguira Iturralde, Jose Lozano-Pérez, Tomás Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science We examine the problem of visibility-aware robot navigation among movable obstacles (VANAMO). A variant of the well-known NAMO robotic planning problem, VANAMO puts additional visibility constraints on robot motion and object movability. This new problem formulation lifts the restrictive assumption that the map is fully visible and the object positions are fully known. We provide a formal definition of the VANAMO problem and propose the Look and Manipulate Backchaining (LaMB) algorithm for solving such problems. LaMB has a simple vision-based API that makes it more easily transferable to real-world robot applications and scales to large 3D environments. To evaluate LaMB, we construct a set of tasks that illustrate the complex interplay between visibility and object movability that can arise in mobile base manipulation problems in unknown environments. We show that LaMB outperforms NAMO and visibility-aware motion planning approaches as well as simple combinations of them on complex manipulation problems with partial observability. M.Eng. 2023-03-31T14:45:24Z 2023-03-31T14:45:24Z 2023-02 2023-02-27T18:43:11.006Z Thesis https://hdl.handle.net/1721.1/150289 In Copyright - Educational Use Permitted Copyright MIT http://rightsstatements.org/page/InC-EDU/1.0/ application/pdf Massachusetts Institute of Technology
spellingShingle Muguira Iturralde, Jose
Visibility-Aware Navigation Among Movable Obstacles
title Visibility-Aware Navigation Among Movable Obstacles
title_full Visibility-Aware Navigation Among Movable Obstacles
title_fullStr Visibility-Aware Navigation Among Movable Obstacles
title_full_unstemmed Visibility-Aware Navigation Among Movable Obstacles
title_short Visibility-Aware Navigation Among Movable Obstacles
title_sort visibility aware navigation among movable obstacles
url https://hdl.handle.net/1721.1/150289
work_keys_str_mv AT muguiraiturraldejose visibilityawarenavigationamongmovableobstacles