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This paper presents an approach for velocity and orientation tracking control of a nonholonomic mobile robot based on an adaptive controller. The developed PID controller is based on analog neural networks. The feed forward neural networks controller is trained on-line to find the inverse kinematical model, which controls the outputs of the mobile robot system. The proposed controller has a better...
This paper is focused on the problem of accurate and reliable path tracking control of a 4-wheels car-like mobile robot moving off-road at high speed. Dynamic and extended kinematic models that take into account the effects of wheel skidding are presented. Based on the extended kinematic model, an adaptive and predictive controller for path tracking is derived. This control law is combined to a stabilization...
Primates, in particular, humans are very adept at learning to use tools. In this talk, I will introduce a paradigm that utilizes this sensorimotor learning capacity to obtain robot behaviors, which otherwise would require manual programming by experts. The idea is to consider the target robotic platform as a tool that can be controlled by a human. Provided with an intuitive interface for controlling...
Walking is a vital exercise for health promotion and a fundamental ability necessary for everyday life. In the authors' previous studies, an omni-directional walker was developed for walking rehabilitation. Walking training programs are stored in the walker and the walker must precisely follow the paths defined in the walking training programs to guarantee the effectiveness of rehabilitation. In the...
Robust and adaptive controller of the uncertain mobile manipulator with holonomic and non-holonomic constrains is designed. Considering some problems in model reduction by implicit function theorem when the mobile manipulator subjects to holonomic and non-holonomic constrains, an uniform expression of holonomic and non-holonomic constrains is introduced, and then based on the reduced model, a steady...
We present our ongoing work on the development of Adaptive Neuro Fuzzy Inference System (ANFIS) Controller for humanoid servant robot designed for navigation based on vision. In this method, black line on the landmark used as a track for robot's navigation using webcam as line sensor. We proposed architecture of ANFIS controller for servant robot based on mapping method, 3 input and 3 output applied...
Underwater robots and underwater machines are counted on helping the salvage procedure, escaping prevention of pollution, lifesaving at sea, scientific exploration in the ocean and so on. In the underwater robot, therefore, Autonomous Underwater Vehicles (AUVs) have been developed actively during recent year. However, AUVs have various problems which should be solved such as motion control, acquisition...
An adaptive controller for a class of unknown nonaffine discrete-time plants is introduced in this article. The proposed control law is constructed by the estimated system linearization with adjustable networks called Muti-input Fuzzy Rules Emulated Networks or MIFRENs. Only on-line learning phase, the bounded parameters inside MIFRENs and the boundary of control error are given by the proposed theorem...
This paper presents a novel adaptive controller for image-based visual servoing of a small autonomous helicopter to cope with uncalibrated camera parameters and unknown 3-D geometry of the feature points. The controller is based on the backstepping technique but differs from the existing backstepping-based methods because the controller maps the image errors onto the actuator space via a depth-independent...
This paper proposes an adaptive controller to guide an unicycle-like mobile robot during trajectory tracking. Initially, the desired values of the linear and angular velocities are generated, considering only the kinematic model of the robot. Next, such values are processed to compensate for the robot dynamics, thus generating the commands of linear and angular velocities delivered to the robot actuators...
For disaster mitigation as well as for urban search and rescue (USAR) missions, it is often necessary to place sensors or cameras into dangerous or inaccessible areas to get a better situation awareness for the rescue personnel, before they enter a possibly dangerous area. Robots are predestined to this task, but the requirements for such mobile systems are demanding. They should be quick and agile...
We here introduce a novel adaptive controller for autonomous mobile robot that binds N types of sensory information. For each sensory modality, sensory-motor connection is made by a three-layered spiking neural network (SNN). The synaptic weights in the model have the property of spike timing-dependent plasticity (STDP) and regulated by presynaptic modulation signal from the sensory neurons. Each...
In this paper, an adaptive controller for trajectory tracking is developed for wheeled mobile robots (WMR). The system uncertainty, which may include payload variation, unknown nonlinearities and torque disturbances is estimated by a wavelet network (WN). The control law is developed based on Lyapunov theory and the learning ability of WN. The proposed controller ensures the uniformly ultimately bounded...
Wheeled mobile robots are considered as the most widely used class of mobile robots. This is due to their fast maneuvering, simple controllers, and energy saving characteristics. Two new algorithms for tracking control of these robots are presented in this paper: an adaptive controller and a nonlinear controller. Here, the two algorithms are compared with regarding noise resistance and disturbance...
In this paper, we present a control design for the teleoperation of a miniature unmanned aerial vehicle known as an X4-flyer. A simple dynamic nonlinear model for the vehicle, valid for quasi-stationary flight conditions, is derived as a basis for the control design. An attitude control based on information issued from an inertial measurement unit is designed. In order to control the vehicle altitude,...
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