selection-of-robots
A CLIPS-based expert system for the evaluation and selection of robots
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Abstract This paper describes the development of a prototype expert system for the intelligent selection of robots for manufacturing operations. The paper first develops a comprehensive, three-stage process to model the robot selection problem. The decisions
Task partitioning in swarms of robots: An adaptive method for strategy selection
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ABSTRACT Task partitioning is the decomposition of a task into two or more sub-tasks that can be tackled separately. Task partitioning can be observed in many species of social insects, as it is often an advantageous way of organizing the work of a group of individuals.
Artificial pheromone for path selection by a foraging swarm of robots
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ABSTRACT Foraging robots involved in a search and retrieval task may create paths to navigate faster in their environment. In this context, a swarm of robots that has found several resources and created different paths may benefit strongly from path selection. Path
A Real-World Experiments Setup for Investigations of the Problem of Visual LandmarksSelection for Mobile Robots
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Abstract We consider a real-world experiments setup for investigations of the problem of visual landmarks selection for wheeled and tracked robots navigation. In particular, we consider visual landmarks selection in case of one-dimensional panorama.
Expert System for Selection of Industrial Robots
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SUMMARY An expert system is developed for assisting users who are not familiar with robot technology to select the right robot for their applications. A robot is suggested based on the answers provided by the user during the consultation. The system is a hybrid
Selection of industrial robots using compromise ranking method
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Many advanced manufacturers are now extensively using robots to perform repetitious, difficult and hazardous tasks with precision. Selection of industrial robots to suit a particular application and production environment from among a large number of alternatives
Computer-Aided Selection of Industrial Robots
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Industrial robots have begun to revolutionalize industry. They can perform a wide variety of tasks,(1) the task to be performed, such as welding, painting, material handling, inspection and assembly. Current research efforts(2) the size and shape of the work, focus on
Selection of Batteries and Fuel Cells for Yucca Mountain Robots
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The Performance Confirmation program of the Yucca Mountain Repository Development Project needs to employ remotely operated robots to work inside the emplacement drifts which will have an environment unsuitable for humans (radiation environment of up to 200
Active Localization of Multiple Robots by Selection of Best Frontiers
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R Goyal, KM Krishna, S Bhuvanagiri ,WORKSHOP ON MULTIROBOTIC ,robot.uji.es ABSTRACT We envisage a multi robotic scenario where several robots are in ambiguity about their states and require help of other robots to overcome their ambiguity. In such a scenario the method presented here moves the robots to locations where probability of eliminating
Selection of Obstacle Avoidance Behaviors Based on Visual and Ultrasonic Sensors for Quadruped Robots
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Robots are indispensable today to improve process efficiencies and labor savings in the industry and service sector. The importance of robots has also been recognized for work in critical environment, such as, space, ocean bottom, power plants, as well as, in the fields
KINEMATIC CALIBRATION OF INDUSTRIAL ROBOTS USING FULL POSE MEASUREMENTS AND OPTIMAL POSE SELECTION
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This study focuses on kinematic calibration of industrial robots. Kinematic modeling, parameter identification and optimal pose selection methods are presented. A computer simulation of the kinematic calibration is performed using generated measurements with
HYBRID GENO-NEURO SYSTEM FOR OPTIMIZATION OF CONTROL SOLUTION SELECTIONIN MULTI MOBILE ROBOTS
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In this paper we present a new hybrid system that combines artificial neural networks and genetic algorithms for control solution selection in multi mobile robot systems, since choosing a specific control solution for a robot to execute its required task can affect the
Behavioral selection in autonomous robots: An investigation of different methods for evo-lutionary optimization of utility functions
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D SANDBERG ,init.ituniv.se ABSTRACT In this thesis, modifications to the standard evolutionary algorithm (EA) used for the utility function (UF) method are investigated. Normally, the utility functions in the UF method contains full polynomials (ie polynomials containing all possible combinations of
Localization of mobile robots via an enhanced particle filter incorporating tournamentselection and Nelder-Mead simplex search
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ABSTRACT. A localization method based on an enhanced particle filter incorporating tournament selection and Nelder-Mead simplex search (NM-EPF) for autonomous mobile robots navigating in a soccer robot game field is proposed in this paper. To analyze the