By combining optimal control theory and linear regulator theory with the Takagi-Sugeno fuzzy methodology, a global optimal and stable fuzzy controller is presented to achieve trajectory tracking for a specific underac...
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This paper presents a novel design of indoor airship having a passive wheeled mechanism and its stationary position control. This wheeled blimp can work both on the ground using wheeled vehicle part and in the air usi...
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ISBN:
(纸本)0780378660
This paper presents a novel design of indoor airship having a passive wheeled mechanism and its stationary position control. This wheeled blimp can work both on the ground using wheeled vehicle part and in the air using the floating capability of the blimp part. The wheeled blimp stands on the floor keeping its balance using a caster-like passive wheel mechanism. In tele-guidance application, stationary position control is required to make the wheeled blimp naturally communicate with people in standing phase since the stationary blimp system responds sensitively to air flow even in indoor environments. To control the desired stationary position, a computed torque control method is adopted. By performing a controller design through dynamic analysis, the control characteristics of the wheeled blimp system have been found and finally the stable control system has been successfully developed The effectiveness of the controller is verified by experiment for the real wheeled blimp system.
This paper presents a Genetic Algorithm (GA) approach to evolving robot behaviours. We use fuzzy logic controllers (FLCs) to design robot behaviours. The antecedents of the FLCs are pre-designed, while their consequen...
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ISBN:
(纸本)0780378660
This paper presents a Genetic Algorithm (GA) approach to evolving robot behaviours. We use fuzzy logic controllers (FLCs) to design robot behaviours. The antecedents of the FLCs are pre-designed, while their consequences are learned using a GA. The Sony quadruped robots are used to evaluate proposed approaches in the robotic football domain. Two behaviours, ball-chasing and position-reaching, are studied and implemented. An embodied evolution scheme is adopted, by which the robot autonomously evolves its behaviours based on a layered control architecture. The results show that the robot behaviours can be automatically acquired through the GA-based learning of FLCs.
This study deals with group robots forming a mechanical structure. The group robots consist of identical cellular robots with same mechanical structure and information processing. To realize the group robots in hardwa...
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ISBN:
(纸本)0780378660
This study deals with group robots forming a mechanical structure. The group robots consist of identical cellular robots with same mechanical structure and information processing. To realize the group robots in hardware, we propose a slide motion mechanism that supports a large mechanical loading. We report the performance test, and energy consumption required for transformation of the cellular robot under various configurations. This paper also discusses the shortest route with minimum energy in transformation when an initial configuration and a final one are given.
In this paper, a neural-fuzzy approach to develop the optimal fuzzy control of a highly nonlinear radial current-controlled active magnetic bearing (AMB) systems is proposed. A linear self-constructing neural fuzzy in...
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Instead of teaching the robot at the work-site, a novel approach and framework for industrial robots teaching is presented to improve the safety and efficiency of the task. Centralized tele-teaching is the primary con...
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ISBN:
(纸本)0780378660
Instead of teaching the robot at the work-site, a novel approach and framework for industrial robots teaching is presented to improve the safety and efficiency of the task. Centralized tele-teaching is the primary concept to achieve such goal. By use of sensor and virtual reality (VR) techniques, the static global task information and the dynamic position and orientation local information on tool and workpiece during the teaching are integrated to the virtual environment (VE) where human operator can remotely monitor and intervene in the teaching process by means of interactive device. To illustrate this, a prototype system for welding task teaching of industrial robot is developed. Preliminary results with the prototype system demonstrate the utility of the approach and framework.
The brain gains appropriate behaviors which gets rewards and escapes punishments by trial-and-error. Reinforcement learning models such a nature's system by an engineering approach. Neuromodulators, which projects...
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ISBN:
(纸本)0780378660
The brain gains appropriate behaviors which gets rewards and escapes punishments by trial-and-error. Reinforcement learning models such a nature's system by an engineering approach. Neuromodulators, which projects widely in brain and adjusts functions in each brain part, are matched with parameters of reinforcement learning. We propose a reinforcement learning algorithm which can follow sudden changes in environment by considering how neuromodulators affect behaviors. This algorithm improves actions by controlling the parameters of reinforcement learning after the obtained reward decreased as compared with the past. Computer simulations shows that the robots with the proposed algorithm are able to respond flexibly to sudden environmental changes.
This paper describes electroencephalogram-based control of a mobile robot. The control purpose is to achieve direction control of a mobile robot only by electroencephalogram. We develop an algorithm for detecting dire...
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This study addresses the design and properties of an intelligent optimal control of a nonlinear flexible robot arm that is driven by a permanent magnet (PM) synchronous servo motor. The dynamic model of a flexible rob...
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Humans can perform skillful tasks adaptively and safely while interacting with uncertain dynamic environment. With respect to the adaptation ability, it was pointed out that impedance control could play a center role ...
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