This paper presents a decentralized graph-based exploration and inspection framework for Multi-Robot systems, designed to address challenges in subterranean and largescale environments. Unlike prior works that focus s...
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ISBN:
(数字)9798331513283
ISBN:
(纸本)9798331513290
This paper presents a decentralized graph-based exploration and inspection framework for Multi-Robot systems, designed to address challenges in subterranean and largescale environments. Unlike prior works that focus solely on exploration or inspection, this framework integrates volumetric exploration, semantic inspection, and dynamic task allocation into a unified decentralized system. A key novelty of this work is the seamless integration of these modules in a multi-robot setting, allowing UAVs to autonomously coordinate their tasks without relying on centralized control. The framework employs a hierarchical graph structure, utilizing a dense local graph for immediate navigation and a sparse global graph for long-term planning and repositioning. Extensive simulations in large-scale complex-shaped environments demonstrate that the proposed approach improves the completeness of the generated maps, reduces inconsistencies in the constructed mesh, and accelerates the overall exploration-inspection process compared to existing decentralized strategies.
This article presents the application possibilities of unmanned aerial vehicles (UAVs) for the rapid and efficient determination of carbonyl compounds: formaldehyde and acetaldehyde concentrations in gaseous environme...
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Modern acoustic emission (AE) diagnostic systems are sensitive instruments for detecting developing defects. A significant limitation of the AE method is the difficulty of isolating signals against the background of i...
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ISBN:
(数字)9798331518752
ISBN:
(纸本)9798331518769
Modern acoustic emission (AE) diagnostic systems are sensitive instruments for detecting developing defects. A significant limitation of the AE method is the difficulty of isolating signals against the background of interference, which significantly reduces the signal-to-interference ratio. Therefore, in this article a cascade filtering scheme for visualizing acoustic signatures through a scalogram is proposed to isolate AE signals that characterize the process of defect formation. Acoustic portraits of the isolated signals characterizing the process of defect formation are given. It is shown that the amplitude of the AE signal from a defective structure during crack formation is characterized by the highest values of the signal amplitude and has a rich frequency-time structure, the signal shape of which is determined by discrete AE.
This paper deals with consensus control for a multi-agent system, where agents are represented via state-space models. It is assumed that they are subjected to sinusoidal disturbances with unknown parameters in the in...
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This paper deals with consensus control for a multi-agent system, where agents are represented via state-space models. It is assumed that they are subjected to sinusoidal disturbances with unknown parameters in the input channel. The connections between the agents are represented by a cycle-free graph containing a spanning tree. An adaptive distributed control algorithm is proposed, guaranteeing asymptotic convergence of the agents’ states towards consensus, provided that the agent model satisfies the controllability condition. The control algorithm consists of a distributed observer, a distributed control law, and an adaptation law. The theoretical results are proven using LaSalle's invariance principle. Finally, a simulation example is presented to demonstrate the theoretical findings.
This paper introduces a novel approach to the optimal control of linear discrete-time systems subject to bounded disturbances. Our approach is based on the newly established duality between ellipsoidal approximations ...
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This study deals with the addressing the issue of ensuring the operational condition of the technological system in terms of quality parameters for manufacturing products within the required timeframe by developing an...
This study deals with the addressing the issue of ensuring the operational condition of the technological system in terms of quality parameters for manufacturing products within the required timeframe by developing and implementing the method for forecasting the technical state of the cutting tool (CT). The paper highlights the importance of determining and forecasting the technical state of the CT for enterprises in the instrument-making and mechanical engineering industries. To address the research question, an operational control method for the CT, based on the multisensory data fusion obtained from technical diagnostic and controlsystems on a computer numerical control (CNC) machine, was proposed. The forecasting of the CT's technical state was performed using artificial intelligence (AI) methods. The proposed approach for obtaining input data for developing predictive models differs in their reliability due to minimizing erroneous results from individual technical diagnostic and controlsystems.
In this article dynamically positioned surface vessel model is considered. To achieve precise performance of the vessel with unknown parameters two control problem was solved. First one is online parametric identifica...
In this article dynamically positioned surface vessel model is considered. To achieve precise performance of the vessel with unknown parameters two control problem was solved. First one is online parametric identification. The estimation of unknown parameters of the surface vessel model is obtained by methods, which are gradient descent method, extended Kalman filter and dynamic regressor extension and mixing (DREM). Second problem is the design of the adaptive control based on the collected results from estimators. For this purposes inverse dynamics control is considered. The convergence of the system is shown in the modeling section. DREM estimation method showed best results.
The article deals with the control system of the Four Quadrant AC-DC Converter control System for the locomotive traction electric drive. A simulation model “transformer-four quadrant converter- direct current link-e...
The article deals with the control system of the Four Quadrant AC-DC Converter control System for the locomotive traction electric drive. A simulation model “transformer-four quadrant converter- direct current link-equivalent active load of locomotive traction electric drive” based on the parameters of the power subsystem has been developed. The synthesis of the control system of the active front end power stage was carried out. A control system with phase locked loop and DC link observer is proposed for described system. An algorithm for setting the reference signal of PWM with phase shift at the PWM period for simultaneous operation of several four quadrant AC-DC converters with common direct current link has been developed. A model study of the developed system and analysis of electromagnetic processes in the DC link, primary and secondary windings of the transformer were carried out. A bench prototype for debugging the control system has been developed.
This paper presents RVWO, a system designed to provide robust localization and mapping for wheeled mobile robots in challenging scenarios. The proposed approach leverages a probabilistic framework that incorporates se...
This paper presents RVWO, a system designed to provide robust localization and mapping for wheeled mobile robots in challenging scenarios. The proposed approach leverages a probabilistic framework that incorporates semantic prior information about landmarks and visual re-projection error to create a landmark reliability model, which acts as an adaptive kernel for the visual residuals in optimization. Additionally, we fuse visual residuals with wheel odometry measurements, taking advantage of the planar motion assumption. The RVWO system is designed to be robust against wrong data association due to moving objects, poor visual texture, bad illumination, and wheel slippage. Evaluation results demonstrate that the proposed system shows competitive results in dynamic environments and outperforms existing approaches on both public benchmarks and our custom hardware setup. We also provide the code as an open-source contribution to the robotics community 2 2 https://***/be2rlab/rvwo.
A study of the plane-parallel surfaces finishing process of high-precision parts was carried out. The architecture of the IIoT environment based on the Winnum Platform for a double-acting flat-finishing machine has be...
A study of the plane-parallel surfaces finishing process of high-precision parts was carried out. The architecture of the IIoT environment based on the Winnum Platform for a double-acting flat-finishing machine has been developed. The requirements for surface roughness and the tolerance of flatness and parallelism are considered, and the reasons for their magnitude are determined. The analysis of studies on technological issues of manufacturing aircraft vibration sensors has been carried out. The types of technological finishing operation are considered, as well as the process of machine finishing of flat parallel surfaces for a double-acting flat-finishing machine is described. The kinematics of the finishing operation is considered. The need for the development of recommendations for determining the rational technological modes of finishing is revealed.
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