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Bibliographic Details
Main Authors: Iwao, Kengo, Arita, Hikaru, Tahara, Kenji
Format: Preprint
Published: 2024
Subjects:
Online Access:https://arxiv.org/abs/2409.12564
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author Iwao, Kengo
Arita, Hikaru
Tahara, Kenji
author_facet Iwao, Kengo
Arita, Hikaru
Tahara, Kenji
contents For robots with low rigidity, determining the robot's state based solely on kinematics is challenging. This is particularly crucial for a robot whose entire body is in contact with the environment, as accurate state estimation is essential for environmental interaction. We propose a method for simultaneous articulated robot posture estimation and environmental mapping by integrating data from proximity sensors distributed over the whole body. Our method extends the discrete-time model, typically used for state estimation, to the spatial direction of the articulated structure. The simulations demonstrate that this approach significantly reduces estimation errors.
format Preprint
id arxiv_https___arxiv_org_abs_2409_12564
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle State Estimation and Environment Recognition for Articulated Structures via Proximity Sensors Distributed over the Whole Body
Iwao, Kengo
Arita, Hikaru
Tahara, Kenji
Robotics
For robots with low rigidity, determining the robot's state based solely on kinematics is challenging. This is particularly crucial for a robot whose entire body is in contact with the environment, as accurate state estimation is essential for environmental interaction. We propose a method for simultaneous articulated robot posture estimation and environmental mapping by integrating data from proximity sensors distributed over the whole body. Our method extends the discrete-time model, typically used for state estimation, to the spatial direction of the articulated structure. The simulations demonstrate that this approach significantly reduces estimation errors.
title State Estimation and Environment Recognition for Articulated Structures via Proximity Sensors Distributed over the Whole Body
topic Robotics
url https://arxiv.org/abs/2409.12564