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.
In view of the shortcomings of the previous genetic algorithm in solving the problem of path planning of robot, this paper has improved it on the basis of the traditional genetic algorithm. The environment model is built by the grids and the fixed length serial number coding is used to encode. The random search method and the ascending order method are combined to generate the initial population....
Dishwashers are owned by less households than many of other home appliances in Japan. One of the reasons is that it is difficult and troublesome to decide the layout of dishes in a compact dishwasher rack. We develop an anytime algorithm with a genetic algorithm (GA) for optimization of dishwasher loading. This system shows the temporary best layout to human users with 3D graphics. The developed algorithm...
In this paper, A solution is proposed for the multi-robot task assignment in obstacle environment, which combines the A∗ algorithm with the genetic algorithm. Our main work are twofold:(a) Path planning method based on A∗ algorithm to search an optimal path between any robot and any target or any two targets; and (b) task assignment method based on the genetic algorithm for the assignment of robots...
Swarm robotic systems are often considered to be dependable. However, there is little empirical evidence or theoretical analysis showing that dependability is an inherent property of all swarm robotic system. Recent literature has identified potential issues with respect to dependability within certain types of swarm robotic algorithms. There appears to be a dearth of literature relating to the testing...
This paper presents the improved branched tendon mechanism by including additional design parameters to the original branched tendon design, and a kinematic design optimization technique for this mechanism using genetic algorithm. The significance of additional design parameters and the feature of improved branched tendon mechanism are also explained. Unlike traditional joint pulley-tendon mechanism...
This paper proposed a parameter optimization design method for the wireless charging system of mowing robot. The circuit topology for wireless charging is given according to the demand analysis of charging device. The boundary constraints of the system parameters are obtained by analyzing the characteristics of the wireless charging system and its performance requirements. Then the main parameters...
Meta-heuristic algorithms have been known to solve complex problems which were once considered difficult to solve. They produce an optimal or near optimal solution with reduced computational complexity and are thus are considered where deterministic algorithms produce inefficient solutions. Robotics has been a disciplinary field where artificial intelligence is bestowed to robots for them to perform...
In this paper is presented the integration of diverse modules for people fallen detection by a mobile service robot. This integration has been achieved in the middleware ROS (Robotics Operation System). The proposed implementation are arranged over an modular architecture of three layers: Hardware, Processing and Decision. The modules implemented are on the processing layer. The first module uses...
In this paper an optimal control method for parafoil system homing planning is introduced, which includes multi-phase homing arrangement, optimal homing path calculation using genetic algorithm(GA), and Bezier curves based path planning for parafoil terminal guidance to deal with the situation of variable glide ratios. L1 nonlinear algorithm is adopted to make trajectory tracking. Comparison simulations...
The multi-robot systems (MRS) task planning model is established by the similar Multiple Traveling Salesman Problem (SMTSP) in this paper. An improved Genetic Algorithm (GA) is proposed to optimize the task planning under different objectives. Compared with the traditional algorithm, the main contribution of this paper is the elite set strategy of genetic operation which improves the optimization...
This work adopts a standard Denavit–Hartenberg method to model a PUMA 560 spot welding robot as the object of study. The forward and inverse kinematics solutions are then analyzed. To address the shortcomings of the ant colony algorithm, factors from the particle swarm optimization and the genetic algorithm are introduced into this algorithm. Subsequently, the resulting hybrid algorithm and the ant...
Error calibration technique is one of the key factors that ensure robots accomplishing high kinematic precision. In this paper, a calibration method for general 6-DOFs robot is proposed. In this method, a linear geometrical error model is built according to the working condition and loads of a general 6-DOFs robot and the analysis of error sources; after which, such model is solved by generalized...
Multi-robot coalition formation (MRCF) problem deals with the formation of subsets of robotic to handle a particular task. In such a system, every task is executed by multiple robots. Thus, cooperation and coordination among the robots is very important. One of the key issues to be investigated for smooth operation of a multi-robot systems is finding an optimal task allocation among the suitably formed...
In order to improve the adaptability of mobile robot path planning algorithm, a solution for robotic path planning method using improved genetic algorithm is proposed. In this method, the chromosome with variable length is introduced in the genetic algorithm. In addition, a new fitness function and three improved genetic operators are proposed in this study, including simplification operator, revision...
Robot coalition problem is a complicated combinatorial optimization problem. In this paper, a novel improved quantum genetic algorithm for the problem is proposed. Based on quantum genetic algorithm, the new algorithm is mainly to improve the rotation angle of quantum gates. A new strategy is designed which can adaptively adjust the rotation angle according to the algorithm running state. Meanwhile,...
Case-Based Reasoning (CBR) interests the scientific community, whom are concerned with scalability in knowledge representation and processing. CBR systems scale far better than rule-based systems. Rule-based systems are limited by the need to know the rules of engagement, which is practically unobtainable. The work presented in this paper pertains to knowledge generalization based on randomization...
Genetic algorithms are an often used tool for the problem of pathfinding. Their ability to find good solutions to multiobjective optimization problems makes them well suited to this task. Of course, genetic algorithms embody a broad range of techniques and strategies including crossover, mutation and mass extinction, each with multiple parameters and implementations. In this paper, we examine the...
Path Planning is one of the exclusive research area in the Robotics. It basically focuses on the robot motion from the initial position to final position such that it must avoid the hurdles and finally reach the goal in optimal path. But it is not an easy task because many conditions are included for the efficiency of final result like working on different environments, known or unknown target etc...
Brain-machine interface (BMI) systems collect and classify electroencephalogram (EEG) data to predict the desired command of the user. The P300 EEG signal is passively produced when a user observes or hears a desired stimulus. The P300 can be used with a visual display to allow a BMI user to select commands from an array of selections. The visual stimuli are often repeated and averaged to increase...
The appearance of robots is often made arbitrary as it relies more on guidelines than on a rigorous methodology. This paper presents a novel method of using genetic algorithms (GA) to improve the appearance of social robots with human feedback. Such general methods are interesting as they do not require prior artistic experience from the designer and can integrate the end-user in the loop. As a proof...
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.