Модели и алгоритмы коллективного управления в группах роботов
ИА Каляев, АР Гайдук, СГ Капустян - 2009 - elibrary.ru
Рассматривается современное состояние проблемы группового управления роботами.
Дается формальная постановка задачи управления группой роботов в условиях …
Дается формальная постановка задачи управления группой роботов в условиях …
COLA2: A control architecture for AUVs
N Palomeras, A El-Fakdi, M Carreras… - IEEE Journal of …, 2012 - ieeexplore.ieee.org
This paper presents a control architecture for an autonomous underwater vehicle (AUV)
named the Component Oriented Layer-based Architecture for Autonomy (COLA2). The …
named the Component Oriented Layer-based Architecture for Autonomy (COLA2). The …
A behavior-based scheme using reinforcement learning for autonomous underwater vehicles
M Carreras, J Yuh, J Batlle… - IEEE Journal of Oceanic …, 2005 - ieeexplore.ieee.org
This paper presents a hybrid behavior-based scheme using reinforcement learning for high-
level control of autonomous underwater vehicles (AUVs). Two main features of the …
level control of autonomous underwater vehicles (AUVs). Two main features of the …
A machine-learning approach to multi-robot coordination
Y Wang, CW de Silva - Engineering Applications of Artificial Intelligence, 2008 - Elsevier
This paper presents a machine-learning approach to the multi-robot coordination problem in
an unknown dynamic environment. A multi-robot object transportation task is employed as …
an unknown dynamic environment. A multi-robot object transportation task is employed as …
Jam mitigation for autonomous convoys via behavior-based robotics
Autonomous ground vehicle convoys heavily rely on wireless communications to perform
leader-follower operations, which make them particularly vulnerable to denial-of-service …
leader-follower operations, which make them particularly vulnerable to denial-of-service …
Learning to role-switch in multi-robot systems
E Martinson, RC Arkin - … on Robotics and Automation (Cat. No …, 2003 - ieeexplore.ieee.org
We present an approach that uses Q-learning on individual robotic agents, for coordinating
a mission-tasked team of robots in a complex scenario. To reduce the size of the state …
a mission-tasked team of robots in a complex scenario. To reduce the size of the state …
Mobile robot navigation using neural Q-learning
GS Yang, EK Chen, CW An - Proceedings of 2004 International …, 2004 - ieeexplore.ieee.org
Continuous Q-learning algorithm has been widely used in robotic domains for its simplicity
and well-developed theory. In this paper mobile robot navigation using neural Q-learning is …
and well-developed theory. In this paper mobile robot navigation using neural Q-learning is …
Navigation behavior selection using generalized stochastic Petri nets for a service robot
Appropriate design and control of behaviors of mobile robots are important for their
successful autonomous navigation in a real dynamic environment. This paper proposes a …
successful autonomous navigation in a real dynamic environment. This paper proposes a …
[图书][B] A proposal of a behavior-based control architecture with reinforcement learning for an autonomous underwater robot
M Carreras Pérez - 2003 - dugi-doc.udg.edu
Technical advances in our society have demonstrated great achievements in many diverse
fields like transportation, communication, manufacturing and computation. Machines help us …
fields like transportation, communication, manufacturing and computation. Machines help us …