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This paper presents preliminary results on the development of a vision-based controller with a smart phone in the loop for autonomous vehicles. Our approach involves the use of the low cost vision sensors available on a smart phone to implement speed control for a lead-follower application, under stop-and-go traffic conditions. The controller uses fuzzy logic to determine commands based on estimated...
The need for Autonomous machines are starting to become an increasingly sought after necessity in human society. As people become busier, they tend to be more dependent upon technology. Therefore, the need arises for Autonomous machines to help perform as many of society's tasks as possible. These Autonomous machines will also allow workers to perform these tasks in a very harsh and hazardous workplace...
Mankind has inherited the earth. But, up to now there is little hint on the meaning and the purpose of this inheritance. Science, thus far, has explained only a tiny fraction. The real issue is identified as the problem of surviving the permanently uncertain future. Technically, the problem can be called the Requirement of Permanence. All the knowledge discoveries of the past, the present, and the...
Fuzzy Logic is a many valued logic and it is very similar to human reasoning which is not binary. It uses approximate measures rather than exact, making it suitable for linguistic variable and analysis. It has been applied to many applications in artificial intelligence, control and robotics. In this paper, the authors develop an artificial intelligence using multiple fuzzy logic for a dynamic multiple...
Nowadays, the interaction between humans and systems is much better, which allows humans to be able to accomplish a huge range of tasks. Focusing on intelligent communication and human understanding of systems, in this work we develop an application, which allows a humanoid robot to receive oral commands from humans to find a desired colored object. Fuzzy logic is used for color recognition following...
Legged vehicles have the advantage over traditional wheeled vehicles is that they are capable of travelling on virtually any type of terrain. To realise this advantage, legged robots must possess efficient control and gait generation strategies. This paper presents a novel technique that contributes to a unique control system that has been developed to provide walking/climbing motions for an advanced...
In this paper, we describe a novel design for a real-time localization system capable of tracking a highly maneuverable target within a 360 degree range of the camera. The target is defined for surveillance. The approach to tracking includes using a controllable camera which is re-oriented according to the tracked location of the target object. Fuzzy logic is used to determine the direction of motion...
With a auxiliary wheel, the Lego-NXT mobile robot, is a small two-wheeled and a mobile platform, which is controlled by a ARM7 microcomputer. The robot could sense its surroundings with the ultrasonic sensor, distinguish the reflected light intensity with the light sensor and move it forward by two DC motors. Robot behaviour was determined by the program which was made by fuzzy control theory and...
The following topics are dealt with: fuzzy system; evolutionary computation; adaptive dynamic programming; reinforcement learning; bioinformatics; data mining; computer games,virtual reality; intelligent system; soft computing; robotics; discrete event system; signal processing; speech processing; image processing; business management distributed architecture; Internet modelling; ad hoc wireless networks...
The predictive control has currently become a precious tool in various domains. It is largely studied and well known in the case of linear systems. An extension of this technique for nonlinear systems control has recently been the subject of many works. Several algorithms and particularly those using fuzzy logic and neural networks have been proposed. In this work a non linear predictive control method...
The following topics are dealt with: robotics; industrial electronics; sensors; actuators; intelligent control; image analysis; soft computing techniques; communication networks; and control strategies.
We present an overview of an implementation of p-stable semantics, since we consider that this semantics can be a formal approach useful in the fields of Electronics, Robotics, or Automotive Mechanics.
Path planning is one of the most important fields of research in the area of robotics. In this paper, a path planning method for a certain type of wheeled mobile robots called automated guided vehicles (AGVs) is proposed. The proposed model applies fuzzy control techniques to navigate multi AGVs in an unknown environment to reach certain destinations by using hybrid.
The following topics are dealt with: unconventional linear system modelling; neural network; fuzzy logic; heuristic technique; smart grid; static system modelling; dynamic system modelling; control techniques; optimization techniques; intelligent computation; intelligent control system; parameter estimation; complex system; adaptive control; learning control; control system design; power electronics...
The following topics are discussed: distributed artificial intelligence; knowledge-based systems; ontologies; natural language processing; machine learning and data mining; pattern recognition; neural networks; genetic and hybrid intelligent systems; computer vision and image processing; robotics, planning and scheduling; uncertainty, probabilistic reasoning and fuzzy logic; multiagent systems; and...
Simulation of crowd motions has great potential in many applications in robotics, games and animations. However, it is also a great challenge to be able to control the motion of a virtual crowd according to the intents of its designer such as making the crowd conform to a specific shape while avoiding collisions with other agents in the crowd or with obstacles. In this paper, we propose a simulation...
In this paper, a control strategy is proposed for gait generation for a two-legged humanoid robot. The two-legged robot is assumed as a 3-dimensional robot with 5-links. Gait generation is performed by assuming motions in the saggital and lateral planes. Dynamic model of the robot is obtained by using MATLABreg/SimMechanics Toolbox. A fuzzy logic controller (FLC) is established for gait generation...
In this study, hierarchical adaptive network based fuzzy logic controller for a single flexible link robot manipulator is designed. This study is aimed to get the end of the flexible robot manipulator to desired position and terminate vibrations on arm while it moves under the action of an external driving torque. The proposed controller has two subsystems. The fast-subsystem reduces the vibration...
The following topics are dealt with: artificial intelligence; fuzzy logic; semiconductor circuit design; computer network communication; computer vision; virtual reality; power electronics; power control system; neural network; robotics; mechatronics; bioelectronics and digital signal processing.
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