Caterpillar Heuristic for Gait-Free Planning With Multi-Legged Robot
Identifikátory výsledku
Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F23%3A00367865" target="_blank" >RIV/68407700:21230/23:00367865 - isvavai.cz</a>
Výsledek na webu
<a href="https://doi.org/10.1109/LRA.2023.3293749" target="_blank" >https://doi.org/10.1109/LRA.2023.3293749</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/LRA.2023.3293749" target="_blank" >10.1109/LRA.2023.3293749</a>
Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
Caterpillar Heuristic for Gait-Free Planning With Multi-Legged Robot
Popis výsledku v původním jazyce
In this letter, we address path planning for the quasi-static locomotion of a multi-legged walking robot on terrains with limited available footholds, such as passing a water stream over rocks. The task is to find a feasible sequence of steps to navigate the robot in environments where precise foot placement and order of the leg movements are necessary for successful traversal. A finite set of the considered footholds forms a state-space search domain, where states are defined by pairing the robot legs with footholds. The actions represent the connectivity of submanifolds of the robot configuration space approximating the robot's kinematic constraints indicating possible steps in a given stance. We propose a novel heuristic that significantly reduces the number of expanded states in the A* planner by avoiding local minima exhibited by commonly used heuristics. The computational requirements are nearly an order of magnitude lower than for the existing contact-driven solutions reported in the literature for similarly formulated planning problems. The viability of the proposed approach is further supported by an experimental deployment.
Název v anglickém jazyce
Caterpillar Heuristic for Gait-Free Planning With Multi-Legged Robot
Popis výsledku anglicky
In this letter, we address path planning for the quasi-static locomotion of a multi-legged walking robot on terrains with limited available footholds, such as passing a water stream over rocks. The task is to find a feasible sequence of steps to navigate the robot in environments where precise foot placement and order of the leg movements are necessary for successful traversal. A finite set of the considered footholds forms a state-space search domain, where states are defined by pairing the robot legs with footholds. The actions represent the connectivity of submanifolds of the robot configuration space approximating the robot's kinematic constraints indicating possible steps in a given stance. We propose a novel heuristic that significantly reduces the number of expanded states in the A* planner by avoiding local minima exhibited by commonly used heuristics. The computational requirements are nearly an order of magnitude lower than for the existing contact-driven solutions reported in the literature for similarly formulated planning problems. The viability of the proposed approach is further supported by an experimental deployment.
Klasifikace
Druh
J<sub>imp</sub> - Článek v periodiku v databázi Web of Science
CEP obor
—
OECD FORD obor
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Návaznosti výsledku
Projekt
<a href="/cs/project/GC21-33041J" target="_blank" >GC21-33041J: Učení plánování pohybu ve složitých úlohách</a><br>
Návaznosti
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Ostatní
Rok uplatnění
2023
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Údaje specifické pro druh výsledku
Název periodika
IEEE Robotics and Automation Letters
ISSN
2377-3766
e-ISSN
2377-3766
Svazek periodika
8
Číslo periodika v rámci svazku
8
Stát vydavatele periodika
US - Spojené státy americké
Počet stran výsledku
8
Strana od-do
5204-5211
Kód UT WoS článku
001030616500008
EID výsledku v databázi Scopus
2-s2.0-85164734498