The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
Expert based learning algorithms have been used by robots to choose satisfying reactions to human movements. These algorithms often demonstrate random performance that tries to hit a balance between adaptiveness and consistency that matches human's preferences intuitively. This paper provides a rigorous way to quantify the adaptiveness and consistency of the expert based learning algorithms in the...
The increasing need for real time robotic systems capable of performing tasks in changing and constrained environments demands the development of reliable and adaptable motion planning and control algorithms. This paper considers a mobile robot whose performance is measured by the completion of temporal logic tasks within a certain period of time. In addition to such time constraints, the planning...
This paper considers iterative learning control for the practically relevant case of deterministic discrete linear plants where the first Markov parameter is zero. A 2D systems approach that uses a strong form of stability for linear repetitive processes is used to develop a one step control law design for both trial-to-trial error convergence and along the trial performance. The resulting design...
Consensus strategies find extensive applications in coordination of robot groups and decision making of agents. Since balanced graph plays an important role in the average consensus problem for directed communication networks, this work explores the conditions and algorithms for the digraph balancing problem. It has been proved that a directed graph can be balanced if and only if the null space of...
In this article we present an approach to improve the execution time of the Markov decision process (MDP) used in robotics for path planning. We've improved it for both value iteration algorithms (value iteration) and Policy Iteration (policy iteration). Unlike the conventional approach which initializes the algorithms with random values and explores all the accessible states at each iteration, our...
The human eye collects visual information by means of saccades and fixations. Recent work shows that fixation locations are not arbitrary. On the contrary, they tend to cluster on the salient regions of the scene. Automatic estimation of the number of fixations on an image has uses in many applications and contexts including computer vision (e.g., robot vision, compression, salience estimation) and...
A path planning algorithm of robot is proposed based on ensemble algorithm of the learning classifier system, which design fitness function in dynamic environment. The paper derived and proved that ensemble algorithm is convergence and provided a theoretical guarantee for the path planning algorithm. Simulation results also showed that genetic algorithms and learning classifier system combination...
This study attempts to make a compact humanoid robot acquire a giant-swing motion without any robotic models by using reinforcement learning; only the interaction with environment is available. Generally, it is widely said that this type of learning method is not appropriated to obtain dynamic motions because Markov property is not necessarily guaranteed during the dynamic task. However, in this study,...
This paper describes the path planning for the mobile robots, based on the Markov decision problems and the detection of dynamic objects using stereo-vision. The presented algorithms are developed for resolving problems with partially observable states. The algorithm is applied in an office environment and tested with a skid-steered robot. The created map combines two mapping theory, the topological...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.