Temat: multi-robot environment - Katalog OPAC zbiorów

Skocz do pozycji: 1.

Tytuł:: Non-cooperative game approach to multi-robot planning
Autorzy:: Gałuszka, A.
Świerniak, A.
Powiązania:: https://bibliotekanauki.pl/articles/908521.pdf
Data publikacji:: 2005
Wydawca:: Uniwersytet Zielonogórski. Oficyna Wydawnicza
Tematy:: zagadnienie projektowe
robot wielofunkcyjny
gra niekooperatywna
planowanie kompleksowe
planning problems
multi-robot environment
STRIPS language
non-cooperative games
planning complexity
Opis:: A multi-robot environment with a STRIPS representation is considered. Under some assumptions such problems can be modelled as a STRIPS language (for instance, a Block World environment) with one initial state and a disjunction of goal states. If the STRIPS planning problem is invertible, then it is possible to apply the machinery for planning in the presence of incomplete information to solve the inverted problem and then to find a solution to the original problem. In the paper a planning algorithm that solves the problem described above is proposed and its computational complexity is analyzed. To make the plan precise, non-cooperative strategies are used.
Źródło:: International Journal of Applied Mathematics and Computer Science; 2005, 15, 3; 359-367
1641-876X
2083-8492
Pojawia się w:: International Journal of Applied Mathematics and Computer Science
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 2.

Tytuł:: Architecture of an Autonomous Robot at the IT Level
Autorzy:: Ambroszkiewicz, S.
Bartyna, W.
Skarżyński, K.
Stępniak, M.
Szymczakowski, M.
Powiązania:: https://bibliotekanauki.pl/articles/950994.pdf
Data publikacji:: 2015
Wydawca:: Sieć Badawcza Łukasiewicz - Przemysłowy Instytut Automatyki i Pomiarów
Tematy:: ontology
multi-robot system
environment representation
Opis:: The paper proposes an architecture for a control system of an autonomous robot as well as an architecture for a multi-robot system in which the robots cooperate in order to accomplish client’s tasks. The solution is based on the SOA paradigm and an ontology as a way of represen ting an environment, and is specified at the Informa- tion Technology level. This approach is focused on intui tive cooperation with a human and automation of a task execution, as well as automation of handling exceptions and changes in the environment. For the purpose of the test scenarios, a sample ontology was created, which allows the human user to define tasks to be performed by a robot. Additionally, a simulation environment was designed and implemented in Unity. It allows for automatic generation of the visual representation of information defined in the ontology, and for testing the effectiveness of the proposed architecture in different types of scenarios with variable sets of services (devices).
Źródło:: Journal of Automation Mobile Robotics and Intelligent Systems; 2015, 9, 1; 34-40
1897-8649
2080-2145
Pojawia się w:: Journal of Automation Mobile Robotics and Intelligent Systems
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 3.

Tytuł:: Human integration in an ontology-based IoT system
Autorzy:: Skarżyński, Kamil
Bartyna, Waldemar
Stępniak, Marcin
Powiązania:: https://bibliotekanauki.pl/articles/2052440.pdf
Data publikacji:: 2021
Wydawca:: Uniwersytet Przyrodniczo-Humanistyczny w Siedlcach
Tematy:: IoT
ontology
multi-robot systems
smart environment
Opis:: The IoT systems are growing field of automation. In contrast to industrial applications, where the system is custom made for each customer or use case, the home IoT systems can be composed and used in many, sometimes dangerous and unpredictable, ways. This paper presents a system that is based on a common ontology as a unified and universal method of representing the environment including humans. Such approach allows for easy integration of heterogenous devices and declarative definition of services, tasks, and rules ensuring human safety and/or comfort.
Źródło:: Studia Informatica : systems and information technology; 2020, 1-2(24); 53-69
1731-2264
Pojawia się w:: Studia Informatica : systems and information technology
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 4.

Tytuł:: Handling realistic noise in multi-agent systems with self-supervised learning and curiosity
Autorzy:: Szemenyei, Marton
Reizinger, Patrik
Powiązania:: https://bibliotekanauki.pl/articles/2147129.pdf
Data publikacji:: 2022
Wydawca:: Społeczna Akademia Nauk w Łodzi. Polskie Towarzystwo Sieci Neuronowych
Tematy:: deep reinforcement learning
multi-agent environment
autonomous driving
robot soccer
self-supervised learning
Opis:: Most reinforcement learning benchmarks – especially in multi-agent tasks – do not go beyond observations with simple noise; nonetheless, real scenarios induce more elaborate vision pipeline failures: false sightings, misclassifications or occlusion. In this work, we propose a lightweight, 2D environment for robot soccer and autonomous driving that can emulate the above discrepancies. Besides establishing a benchmark for accessible multiagent reinforcement learning research, our work addresses the challenges the simulator imposes. For handling realistic noise, we use self-supervised learning to enhance scene reconstruction and extend curiosity-driven learning to model longer horizons. Our extensive experiments show that the proposed methods achieve state-of-the-art performance, compared against actor-critic methods, ICM, and PPO.
Źródło:: Journal of Artificial Intelligence and Soft Computing Research; 2022, 12, 2; 135--148
2083-2567
2449-6499
Pojawia się w:: Journal of Artificial Intelligence and Soft Computing Research
Dostawca treści:: Biblioteka Nauki

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