On Autonomous Mobile Robot Exploration Projects in Robotics Course

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>

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.

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/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)

Rok uplatnění

2023

Kód důvěrnosti údajů

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

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

—