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Bibliographic Details
Main Authors: Chintalapudi, Sahit, Kaelbling, Leslie, Lozano-Perez, Tomas
Format: Preprint
Published: 2024
Subjects:
Online Access:https://arxiv.org/abs/2409.15774
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author Chintalapudi, Sahit
Kaelbling, Leslie
Lozano-Perez, Tomas
author_facet Chintalapudi, Sahit
Kaelbling, Leslie
Lozano-Perez, Tomas
contents The problem of mating two parts with low clearance remains difficult for autonomous robots. We present bi-level belief assembly (BILBA), a model-based planner that computes a sequence of compliant motions which can leverage contact with the environment to reduce uncertainty and perform challenging assembly tasks with low clearance. Our approach is based on first deriving candidate contact schedules from the structure of the configuration space obstacle of the parts and then finding compliant motions that achieve the desired contacts. We demonstrate that BILBA can efficiently compute robust plans on multiple simulated tasks as well as a real robot rectangular peg-in-hole insertion task.
format Preprint
id arxiv_https___arxiv_org_abs_2409_15774
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Bi-Level Belief Space Search for Compliant Part Mating Under Uncertainty
Chintalapudi, Sahit
Kaelbling, Leslie
Lozano-Perez, Tomas
Robotics
The problem of mating two parts with low clearance remains difficult for autonomous robots. We present bi-level belief assembly (BILBA), a model-based planner that computes a sequence of compliant motions which can leverage contact with the environment to reduce uncertainty and perform challenging assembly tasks with low clearance. Our approach is based on first deriving candidate contact schedules from the structure of the configuration space obstacle of the parts and then finding compliant motions that achieve the desired contacts. We demonstrate that BILBA can efficiently compute robust plans on multiple simulated tasks as well as a real robot rectangular peg-in-hole insertion task.
title Bi-Level Belief Space Search for Compliant Part Mating Under Uncertainty
topic Robotics
url https://arxiv.org/abs/2409.15774