Traversal cost modeling based on motion characterization for multi-legged walking robots

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F19%3A00336167" target="_blank" >RIV/68407700:21230/19:00336167 - isvavai.cz</a>

Výsledek na webu

<a href="https://ieeexplore.ieee.org/abstract/document/8870912" target="_blank" >https://ieeexplore.ieee.org/abstract/document/8870912</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1109/ECMR.2019.8870912" target="_blank" >10.1109/ECMR.2019.8870912</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Traversal cost modeling based on motion characterization for multi-legged walking robots

Popis výsledku v původním jazyce

In this paper, we concern a traversal cost estimation considering motion control of a hexapod walking robot. The proposed idea is motivated by the observation that the traversal cost depends not only on the traversed terrain but also on the robot motion. Based on the experimental deployments, the forward motion is preferable over some terrains; however, uphill and downhill locomotion over the particular terrain might differ significantly. Therefore, we propose to enhance the traversal cost model by a motion characterization. The model is learned using feature descriptor composed of terrain shape and appearance that is combined with the expected motion performance determined from the slope change and possible rotation of the robot. The traversal model enables to reason about the robot stability regarding placement of the robot legs and performed motion action. The proposed idea of motion characterization is demonstrated and experimentally verified on a simplified motion control using grid-based planning with the robot control decomposed into straight and turn movements.

Název v anglickém jazyce

Traversal cost modeling based on motion characterization for multi-legged walking robots

Popis výsledku anglicky

In this paper, we concern a traversal cost estimation considering motion control of a hexapod walking robot. The proposed idea is motivated by the observation that the traversal cost depends not only on the traversed terrain but also on the robot motion. Based on the experimental deployments, the forward motion is preferable over some terrains; however, uphill and downhill locomotion over the particular terrain might differ significantly. Therefore, we propose to enhance the traversal cost model by a motion characterization. The model is learned using feature descriptor composed of terrain shape and appearance that is combined with the expected motion performance determined from the slope change and possible rotation of the robot. The traversal model enables to reason about the robot stability regarding placement of the robot legs and performed motion action. The proposed idea of motion characterization is demonstrated and experimentally verified on a simplified motion control using grid-based planning with the robot control decomposed into straight and turn movements.

Druh

D - Stať ve sborníku

CEP obor

—

OECD FORD obor

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Projekt

<a href="/cs/project/GA18-18858S" target="_blank" >GA18-18858S: Metody kontinuálního učení řízení pohybu vícenohých kráčejích robotů v úlohách autonomního sběru dat</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Rok uplatnění

2019

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

2019 European Conference on Mobile Robots (ECMR)

ISBN

978-1-7281-3605-9

ISSN

—

e-ISSN

—

Počet stran výsledku

6

Strana od-do

—

Název nakladatele

IEEE

Místo vydání

St. Paul, Minnesota

Místo konání akce

Prague

Datum konání akce

4. 8. 2019

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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