Social robot

About: Social robot is a research topic. Over the lifetime, 13272 publications have been published within this topic receiving 243859 citations.

A perceptual system for vision-based evolutionary robotics

Abstract: This paper discusses the perceptual system of a mobile robot from the viewpoint of ecological psychology The control of the mobile robot is based on the concept of perceiving-acting cycle We discuss the perceptual system for extracting perceptual information that will be used and required for next action Based on action outputs, the perceptual module is selected and accommodated in order to persist a specific perception Furthermore, we apply a steady-state genetic algorithm (SSGA) for extracting perceptual information from an image The average and divergence used for mutation in the SSGA for detecting a pattern are updated according to the accuracy of detection The current searching result of SSGA is reflected to the next search of SSGA In this way, the searching process of the perceptual system for the mobile robot is cyclic according to the spatio-temporal context of the environment We apply the proposed method for the control of a mobile robot used under an office automation floor Experimental results show the effectiveness of the proposed method

Robot navigation through obstacles of general shapes using a center-line oriented algorithm

Abstract: The problem of navigating a mobile robot around barriers in an unexplored terrain is studied, where all the obstacles within the terrain are not necessarily of polygonal shape or convex. A model map is used to memorize the configuration of the environment observed so far and it is updated while the robot is being navigated. With safety' as a important factor to the solution of the problem, an algorithm which tends to find a center-line path among obstacles is proposed. The case where the sensor has only limited effective range is also considered. Detailed proof is provided of the collision-free and goal-convergent properties of the algorithm. >

Intelligent control architecture for mobile robot based on fusion methods

Abstract: An autonomous mobile robot must provide various functions such as perception, location and control in order to understand the environment and react accordingly to the task to be performed. If the environment is barely known, then the robot must have decisional abilities that allow an understanding of the mission and a determination of the appropriate actions to be taken. The authors propose a multisensor perception system allowing the control of an autonomous mobile robot when uncertainty and incomplete knowledge are the major characteristics of the environment. Their robot control architecture is designed to support capabilities needed by many autonomous mobile robot systems, including concurrent planning, execution, perception and reacting to changes in the environment. This architecture is based on the combination of local and absolute location (fusion methods) for an autonomous mobile robot. The robot task is described by an AND/OR graph in a propositional logic and decomposed in primitive actions. The control is in charge of achieving each task in the best possible way, taking into account the context and sensory feedback.

Autonomous navigation of a wheeled mobile robot in farm settings

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Algorithm for swarming and following behaviors of multiple mobile robots

Abstract: Swarm robotics has been focused in order to express more advanced performance using lower performance devices. Swarming behaviors of multiple robots are need for working in industries or in places where a human cannot enter. In the natural world, some creatures which have simple biological function can acquire higher intelligence by swarming. Therefore, biomimetic method is effective in order to establish an efficient swarming system. In the swarming robotic system, because cost of the system increases in proportion to number of a robot, devices of robots are required to be simple. Furthermore, an implemented algorithm into robots should be designed considering a simplification of the individual robot with keeping correctness of the model of the robots. In this paper, a simple algorithm for swarming and following behaviors is proposed assuming that robots had only three sensors to detect distance information. The algorithm consists of nine patterns according to information of three PSD sensors. In the proposed algorithm, each robot's movement is determined based on the inputs of three distance sensors. Then, a virtual simulator for multiple mobile robotics is developed to evaluate the performance of the algorithm, in which the movement of a virtual robot is modeled based on an actual three-wheeled mobile robot. It is assumed in the simulator that the robot moves only to six directions and rotates counterclockwise or clockwise on the position; the robots do not communicate with each other; shape and kinematics of the robot are simplified in the two-dimensional plane. Several simulations using the proposed algorithm are conducted to evaluate the performance for the swarming and following behaviors. Results of the simulations show that the proposed algorithm can provide swarming and following behaviors.