On Autonomous Mobile Robot Exploration Projects in Robotics Course
Identifikátory výsledku
Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F23%3A00372381" target="_blank" >RIV/68407700:21230/23:00372381 - isvavai.cz</a>
Výsledek na webu
<a href="https://doi.org/10.1007/978-3-031-38454-7_1" target="_blank" >https://doi.org/10.1007/978-3-031-38454-7_1</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-031-38454-7_1" target="_blank" >10.1007/978-3-031-38454-7_1</a>
Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
On Autonomous Mobile Robot Exploration Projects in Robotics Course
Popis výsledku v původním jazyce
Autonomous mobile robot exploration can be considered a representative task where multiple problems need to be addressed and solutions integrated into a software framework that exhibits desired autonomous behavior of the robot. The problem includes online decision-making in selecting new navigational waypoints towards which the robot is autonomously navigated to explore not yet covered part of the environment. A mobile robot’s navigation consists of localization, mapping, planning, and execution of the plan by following the path toward the waypoint. For these very reasons, we decided to include mobile robot exploration as one of the tasks in our Artificial Intelligence in Robotics course opened at the Faculty of Electrical Engineering, Czech Technical University in Prague. In this paper, we present our experience running the course, where the students start with relatively small isolated tasks that are then integrated into a full exploration framework. We share the students’ feedback on our initial approach for the task that becomes a mandatory part of the course evaluation and grading.
Název v anglickém jazyce
On Autonomous Mobile Robot Exploration Projects in Robotics Course
Popis výsledku anglicky
Autonomous mobile robot exploration can be considered a representative task where multiple problems need to be addressed and solutions integrated into a software framework that exhibits desired autonomous behavior of the robot. The problem includes online decision-making in selecting new navigational waypoints towards which the robot is autonomously navigated to explore not yet covered part of the environment. A mobile robot’s navigation consists of localization, mapping, planning, and execution of the plan by following the path toward the waypoint. For these very reasons, we decided to include mobile robot exploration as one of the tasks in our Artificial Intelligence in Robotics course opened at the Faculty of Electrical Engineering, Czech Technical University in Prague. In this paper, we present our experience running the course, where the students start with relatively small isolated tasks that are then integrated into a full exploration framework. We share the students’ feedback on our initial approach for the task that becomes a mandatory part of the course evaluation and grading.
Klasifikace
Druh
D - Stať ve sborníku
CEP obor
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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/EF16_019%2F0000765" target="_blank" >EF16_019/0000765: Výzkumné centrum informatiky</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 statě ve sborníku
Lecture Notes in Networks and Systems (Volume 747 LNNS)
ISBN
978-3-031-38453-0
ISSN
2367-3370
e-ISSN
—
Počet stran výsledku
13
Strana od-do
3-15
Název nakladatele
Springer
Místo vydání
Wien
Místo konání akce
Limassol
Datum konání akce
19. 4. 2023
Typ akce podle státní příslušnosti
WRD - Celosvětová akce
Kód UT WoS článku
—