In the ever-evolving landscape of unmanned aerial vehicles (UAVs), the focus of this paper is on enhancing the performance and control of a Quad-Titl wing UAV (QTW-UAV). QTW-UAV, an electric-powered aircraft, offers t...
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To address the challenge of meeting ABET outcomes for ethical judgment, communication, and teamwork, this paper presents an innovative team project that integrates these skills and scaffolds their development. The pro...
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ISBN:
(纸本)9798350384468;9798350384451
To address the challenge of meeting ABET outcomes for ethical judgment, communication, and teamwork, this paper presents an innovative team project that integrates these skills and scaffolds their development. The project requires students to analyze the ethics of an Al system by identifying use cases, developing methods of analysis, evaluating such issues as bias, transparency, and sustainability, and developing policy recommendations Jr improvements to the system or for use in applications. The major deliverables are a collaboratively written proposal and a final team presentation that presents the research and recommendations. Lessons in ethical reasoning;research, information management, and academic integrity;proposal writing;policy advocacy;collaboration;and presentation augment their selfdirected study of both how specific Al systems work, and the ethical and sociocultural implications of employing that technology Pr specific use cases. Students gain both conceptual and applied knowledge of ethical principles, reasoning through complex issues, reaching consensus through structured processes, and analyzing the effects of technology. In addition, students gain an in-depth understanding of the implications of using LLMs in the research and writing process, which increases their ability to make ethical choices about whether to use the output of these systems.
In view of the shortcomings of the grid-connected inverter (GCI) with asymmetric LCL (A-LCL) type filtered using the traditional PR controller, this paper presents a new control method with sliding mode controller (SM...
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Human-centered robotic systems open a large field of new applications, both in industry and service contexts. For their interaction with human beings, up to physical collaboration, they rely heavily on computer vision...
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ISBN:
(纸本)9798350358513;9798350358520
Human-centered robotic systems open a large field of new applications, both in industry and service contexts. For their interaction with human beings, up to physical collaboration, they rely heavily on computer vision, and more recently on human motion tracking algorithms, which are examples of intelligent components. The complexity resulting from the variety of human behaviors and the combination of intelligent components with robotic collaborative tasks raises the problem of the performance evaluation of the overall system. To support experiment design for performance evaluation of intelligent collaborative robotic systems, we propose an approach combining real-world human motion recordings with numerical simulations of the dynamics of the robotic system with its controller. In this article, we illustrate this approach on the example of the handover task.
The integrated monitoring system for rail transit is a highly complex control and supervision system used for the regulation and control of various facilities and services in the rail transit network. Due to its high ...
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Concrete structural crack damage classification is of importance for road safety. This paper proposes a new method based on broad neural network for crack damage classification in concrete structures. It includes thre...
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Parkinson's disease is a neurodegenerative disease characterized by slow progression and is never cured. Its symptoms include motor impairments such as bradykinesia, muscle stiffness, tremor at rest, and postural ...
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Postural monitoring in wheelchair users is a topic of growing interest. The detection of changes in the sitting patterns of these patients may serve to detect changes in their functional status and be able to adapt re...
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This research delves into the realm of multi-robot systems, with a focus on integrating remote operation technologies. It aims to examine how different levels of automation impact user experience and efficiency in con...
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ISBN:
(纸本)9798350358513;9798350358520
This research delves into the realm of multi-robot systems, with a focus on integrating remote operation technologies. It aims to examine how different levels of automation impact user experience and efficiency in controlling multiple robots simultaneously. Through a unique approach that blends automation with human interaction, the study aims to advance capabilities in multi-presence environments, laying groundwork for future advancements. At its core is the development of a state-of-the-art multi-presence system, integrating advanced robotic arms for remote manipulation tasks. Special attention is given to automation features to enhance user control. The research outlines a comprehensive experimental setup to rigorously test system performance, assessing aspects like user efficiency and cognitive load. By comparing scenarios with varying automation levels, the research seeks to identify an optimal balance for efficiency and user comfort, providing insights crucial for future multi-robot system design and implementation in multi-presence environments.
This article proposes an efficient robust model predictive control (MPC) framework for constrained linear time-invariant (LTI) systems in the presence of additive disturbance. In the framework, a novel MPC optimizatio...
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ISBN:
(纸本)9798350385731;9798350385724
This article proposes an efficient robust model predictive control (MPC) framework for constrained linear time-invariant (LTI) systems in the presence of additive disturbance. In the framework, a novel MPC optimization problem is formulated by using control parameterization based on Gaussian kernels. Then, an efficient MPC control law is derived, which aims at reducing the online computational cost. We show that the controlled system driven by the designed control law complies with system constraints. Moreover, the robust stability (i.e., the state trajectory converges into a bounded set) of the closed-loop system is obtained given feasibility is fulfilled and the Gaussian kernels are properly designed. Numerical examples and comparisons with the conventional robust MPC are performed, which validate the proposed method.
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