The adaptation of additive manufacturing for chemical flow reactors has recently gained momentum as the methods become more advanced and equipment is increasingly *** the design of periodic open cellular structures (P...
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Treatment of type 1 diabetes mellitus is significantly improved by using commercially available hybrid closed-loop systems to deliver insulin. These systems, also called artificial pancreas (AP), use the subcutaneous ...
Treatment of type 1 diabetes mellitus is significantly improved by using commercially available hybrid closed-loop systems to deliver insulin. These systems, also called artificial pancreas (AP), use the subcutaneous (SC) route to deliver insulin. However, meal announcements are necessary due to the slow insulin absorption from the SC tissue. Thus due to the need for human intervention, it is called “hybrid closed loop” AP. In this work, a bi-hormonal AP with intraperitoneal (IP) infusion is designed to increase the time within the range of 3.9-10.0 mmol/l and alleviate the burden of meal announcements. A two-layer controller is designed to provide safe and effective insulin and glucagon delivery. The primary layer is based on classical PID controllers for insulin and glucagon, and the supervisory layer includes four parts: (A) Zone-based control settings, (B) Extrapolation of sensor data to compensate for sensor delay in SC tissue, (C) Auto-tuning of the PID parameters in the primary layer through simulation in an animal model, and (D) Safety barriers. The controller is designed to prevent hypoglycemia after meals and during physical activity, as well as prevent postprandial hyperglycemia. The designed AP achieved 92.5% of the time within the range of 3.9-10.0 mmol/l on a simulator trained on data from animal experiments. The results indicate that this two-layer control structure with IP infusions makes it feasible to achieve a fully automated artificial pancreas without the need for meal announcements, i.e. without human intervention.
The characteristic of the problem, relevance of the paper. At the present time in electric power industry a concept of intelligent electrical power system is realized. A key component of this system is a digital subst...
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We address the unique challenge of vibration suppression for a flexible long-reach robotic manipulator system, namely, the through-wall deployment (TWD) system that is used in nuclear environments. This paper proposes...
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ISBN:
(数字)9798350377705
ISBN:
(纸本)9798350377712
We address the unique challenge of vibration suppression for a flexible long-reach robotic manipulator system, namely, the through-wall deployment (TWD) system that is used in nuclear environments. This paper proposes a novel dynamics-based trajectory optimization approach, which minimizes both the acceleration and the jerk at the manipulator’s joints, as well as the vibrations of the flexible long-reach boom where the manipulator’s base is mounted. Firstly, we create an integrated model for the system dynamics based on the knowledge of the robotic manipulator and the acceleration data from the vibration tests. We then develop an original procedure for generating the high-order polynomial trajectory that guarantees the zero-boundary condition for a flexible number of optimization parameters and waypoints. Following the simulation of a multi-objective optimization scheme, the optimized trajectory is experimentally validated on the practical TWD system with around 28% vibration reduction on average compared to the benchmark. Importantly, this reduction is achieved without compromising on the average speed of motion. The methodology is transferable to a wider range of flexible robotic manipulator systems with similar characteristics.
Compared with traditional binary ion electrolytes, single-ion electrolytes have higher ion migration number and can avoid concentration polarization. In this work, single proton hydrogel electrolytes were prepared by ...
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Intrusion detection technology can effectively evaluate the security state of the system. However, the accuracy of traditional intrusion detection methods still needs to be improved. Therefore, this paper proposed a S...
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The celebrated S-Lemma was originally proposed to ensure the existence of a quadratic Lyapunov function in the Lur'e problem of absolute stability. A quadratic Lyapunov function is, however, nothing else than a sq...
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Deformable object manipulation (DOM) for robots has a wide range of applications in various fields such as industrial, service and health care sectors. However, compared to manipulation of rigid objects, DOM poses sig...
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Deformable object manipulation (DOM) for robots has a wide range of applications in various fields such as industrial, service and health care sectors. However, compared to manipulation of rigid objects, DOM poses significant challenges for robotic perception, modeling and manipulation, due to the infinite dimensionality of the state space of deformable objects (DOs) and the complexity of their dynamics. The development of computer graphics and machine learning has enabled novel techniques for DOM. These techniques, based on data-driven paradigms, can address some of the challenges that analytical approaches of DOM face. However, some existing reviews do not include all aspects of DOM, and some previous reviews do not summarize data-driven approaches adequately. In this article, we survey more than 150 relevant studies (data-driven approaches mainly) and summarize recent advances, open challenges, and new frontiers for aspects of perception, modeling and manipulation for DOs. Particularly, we summarize initial progress made by Large Language Models (LLMs) in robotic manipulation, and indicates some valuable directions for further research. We believe that integrating data-driven approaches and analytical approaches can provide viable solutions to open challenges of DOM. Impact Statement-The manipulation of deformable objects is very common in industry or daily life. The applications of deformable object manipulation in industry can create enormous economic benefits, and the applications in daily life can improve quality of life, especially for people with disabilities and the elderly. Robotic manipulation tasks such as food handling, assistive dressing or clothing folding require open problems of perception, modeling and manipulation of deformable objects to be solved. Recent advances in machine learning have addressed some of the limitations of traditional approaches. Combining analytical and data-driven approaches holds the potential to bring the manipulation capa
This article investigates the practical scenarios of chasing an adversarial evader in an unbounded environment with cluttered obstacles. We propose a Voronoi-based decentralized algorithm for multiple pursuers to enci...
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