The paper presents one solution to a benchmark problem, where the target was to control the position of one robot axis. The model given corresponds to a commercial robot, although some simplifications have been made i...
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This paper presents the design considerations of a small-size humanoid robot. The design process has revealed much about the several problems, challenges and tradeoffs imposed by biped locomotion. Among them, we here ...
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Drone imagery based object supervising has become more and more widespread. In the paper the Single shot Alignment Network is used to classify and localize the objects. The images were acquired by using two types of d...
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ISBN:
(纸本)9798350398823
Drone imagery based object supervising has become more and more widespread. In the paper the Single shot Alignment Network is used to classify and localize the objects. The images were acquired by using two types of drones, DJI Tello and Zll SG906 Pro 2 in about thirty classes, and about nineteen were processed and detailed in the paper. The objects labeling was realized in CVAT labeling tool. For neural network management the mmdetection framework was used, and the obtained results were detailed on s2a-net. The paper focuses on the preparation of the neural network system to be used for agricultural machine detection. The network was trained on a PC with reduced processing capabilities. The dataset was cut in smaller tasks. An architecture is proposed to be used in future for dataset management during the training process.
In this paper, we propose a new approach to the high-speed wall following of wheeled mobile robots using hybrid control system. The proposed hybrid system consists of the discrete state system as the high-level proces...
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ISBN:
(纸本)0780372034
In this paper, we propose a new approach to the high-speed wall following of wheeled mobile robots using hybrid control system. The proposed hybrid system consists of the discrete state system as the high-level process and the continuous state system as the low-level process. In discrete state system, the discrete states are defined by the user-defined constraints and the reference motion commands are specified in the abstracted motions. The reference motion commands are translated into the control inputs for each wheel in the continuous state system. The hybrid control system applied for wheeled mobile robots can combine the motion planning and autonomous navigation with obstacle avoidance in indoor navigation problem. Simulation results show that hybrid system approach is an effective method for the autonomous navigation. In the experiments of the indoor environments, we proved that the performance of the high-speed navigation is excellent.
In various control applications as robotics, chemistry, life sciences, etc., the controllers need feedback terms that contain various integer or fractional order time-derivatives of the variables that describe the phy...
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ISBN:
(纸本)9781728156255
In various control applications as robotics, chemistry, life sciences, etc., the controllers need feedback terms that contain various integer or fractional order time-derivatives of the variables that describe the physical state of the controlled system as well as certain properties of the "nominal trajectory" that has to be precisely tracked. Normally these derivatives cannot be directly measured by dedicated sensors, so they numerically must be estimated by other, normally noise-burdened sensor signals. The higher the relative order of the control task is the higher the control method's sensitivity to the sensor noises is. To improve the situation the sensor signals and especially the time-derivatives calculated by the use of the sensor signals have to be "filtered" to reduce the undesirable consequence of the measurement noises. Filtering normally happens by somehow "averaging" a few past signals therefore it inevitably introduces "delay"-like effect that can degrade the controller's operation. Physically the act of filtering can be interpreted as the insertion of a dynamically coupled physical subsystem into the controlled engine + controller system. Electronic and electrical engineers developed various filters made of constant and passive elements as resistors, inductors, capacitors that can be described by differential equations. For these linear, time-invariant systems the use of the frequency domain became prevailing. In the case of digital controllers more primitive, fictitious models can be applied without physical realization. These subsystems can be even strongly nonlinear. In this paper a primitive noise-filtering technique for digital controllers is suggested. It has two simple, tunable parameters. Its operation is illustrated in the Fixed Point Iteration-based adaptive control of a propeller-driven pendulum.
For a robot to search an entire area, it must follow a path that allows the range of its sensors to cover all parts of the area. This problem is a subset of path planning called area coverage. Most work done in this t...
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ISBN:
(纸本)0780372034
For a robot to search an entire area, it must follow a path that allows the range of its sensors to cover all parts of the area. This problem is a subset of path planning called area coverage. Most work done in this type of path planning has concentrated on ways of dividing the area up to avoid obstacles while covering the area. This is an important step in the process, but often takes for granted the movement of the robot within clear areas. This is not a problem if the robot has sufficient calibration to ensure the accuracy of calculated turns or if it has accurate enough navigational devices to keep track of its location. However, simple legged robots usually lack both of these attributes. It is difficult to make turns that fit a specified arch and sufficient on board navigational devices are expensive and/or too large to carry. In this paper, we use cyclic genetic algorithms to learn the control cycles required to make an actual hexapod robot perform area coverage.
Human dependent safety critical domains such as Air Traffic control require careful and focused interface design. The way air traffic information is presented heavily impacts the way controllers perform monitoring tas...
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In a mixed liquor biological wastewater treatment process, the dissolved oxygen level is a very important factor. This paper proposes an adaptive neural network control strategy to maintain a set point in aerated bior...
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In a mixed liquor biological wastewater treatment process, the dissolved oxygen level is a very important factor. This paper proposes an adaptive neural network control strategy to maintain a set point in aerated bioreactors. The proposed method prevents weight drift and associated bursting, without sacrificing performance. The controller is tested on a simplified version of the benchmark simulation model number 1, with disturbances in influent. The proposed controller outperforms PI control.
Although the cardiovascular process model is well formed, the shape of the control function which complements the ensemble as a control system is still an open question. The paper presents a new structure of the ensem...
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As a result of the increasing miniaturization of electronic circuitry and the corresponding increase in computational power of embedded systems, the point has been reached where it is possible to integrate electronics...
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