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25th International Conference on Methods and Models in Automation and robotics, MMAR 2021

作者： Pasko, Kamil Kucharska, Edyta Baranowski, Jerzy AGH University of Science and Technology Department of Automatic Control and Robotics Krakow30-059 Poland

ISBN: (纸本)9781728173801

The paper deals with a cross-docking problem which is an example of real-word logistics problem and belongs to the class of NP-hard optimization problems. Cross-docking is a transshipment platform, where products from suppliers to several destinations are deconsolidated, sorted, consolidated based on the customer's orders, and shipped out to the end customers using outbound trucks. In particular, multiple inbound and outbound doors cross-docking is under consideration. The aim is to optimize the sequence of inbound and outbound trucks and truck dock assignment in cross-docking systems with multiple inbound and outbound dock doors. A particle swarm optimization hybridized with simulated annealing is proposed to solve this problem. The paper also presents the results of computational experiments. © 2021 IEEE.

关键词： Trucks

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Towards experimental insight into magnetic flux distribution within the air gap of permanent magnet synchronous drive

Towards experimental insight into magnetic flux distribution...

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International Conference on Methods and Models in Automation and robotics (MMAR)

作者： Hubert Milanowski Adam Krzysztof Piłat Faculty of Electrical Engineering Automatics Computer Science and Biomedical Engineering Department of Automatic Control and Robotics AGH University of Krakow Krakow Poland

ISBN: (数字)9798350362343

ISBN: (纸本)9798350362350

This report explores the experimental identification of magnetic flux density within the motor air gap, focusing on the development of a robot-based approach to automate the scanning procedure. Emphasis is placed on analyzing the distribution of magnetic flux within the motor’s spatial air gap, as well as the amplification of harmonics resulting from changes in air gap orientation. Drawing upon experimental findings, a model is proposed to illustrate the three-dimensional distribution of magnetic flux within the gap.

关键词： Solid modeling Magnetic flux density Automation Atmospheric modeling Air gaps Rotors Drives

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control Contraction Metrics on Submanifolds 63

Control Contraction Metrics on Submanifolds

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63rd IEEE Conference on Decision and control, CDC 2024

作者： Wu, Dongjun Yi, Bowen Manchester, Ian R. Lund University Department of Automatic Control Box 118 LundSE-221 00 Sweden Polytechnique Montreal Department of Electrical Engineering & Gerad QCH3T 1J4 Canada The University of Sydney Australian Centre for Robotics School of Aerospace Mechanical and Mechatronic Engineering Australia

ISBN: (纸本)9798350316339

In this paper, we extend the control contraction metrics (CCM) approach, which was originally proposed for the universal tracking control of nonlinear systems, to those that evolves on submanifolds. We demonstrate that the search for CCM on submanifolds can be reformulated as convex conditions. In particular, since Lie groups can be viewed as submanifolds in Euclidean space, the results are directly applicable to this setting. © 2024 IEEE.

关键词： Nonlinear simulations

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A Heuristically Accelerated Reinforcement Learning-Based Neurosurgical Path Planner

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Cyborg and Bionic Systems 2023年第1期4卷 298-308页

作者： Guanglin Ji Qian Gao Tianwei Zhang Lin Cao Zhenglong Sun School of Science and Engineering The Chinese University of Hong KongShenzhenChina Shenzhen Institute of Artificial Intelligence and Robotics for Society ShenzhenChina Department of Automatic Control and Systems Engineering The University of SheffieldUK

The steerable needle becomes appealing in the neurosurgery intervention procedure because of its flexibility to bypass critical regions inside the brain;with proper path planning,it can also minimize the potential damage by setting constraints and optimizing the insertion ***,reinforcement learning(RL)-based path planning algorithm has shown promising results in neurosurgery,but because of the trial and error mechanism,it can be computationally expensive and insecure with low training *** this paper,we propose a heuristically accelerated deep Q network(DQN)algorithm to safely preoperatively plan a needle insertion path in a neurosurgical ***,a fuzzy inference system is integrated into the framework as a balance of the heuristic policy and the RL *** are conducted to test the proposed method in comparison to the traditional greedy heuristic searching algorithm and DQN *** showed promising results of our algorithm in saving over 50 training episodes,calculating path lengths of 0.35 after normalization,which is 0.61 and 0.39 for DQN and traditional greedy heuristic searching algorithm,***,the maximum curvature during planning is reduced to 0.046 from 0.139 mm−1 using the proposed algorithm compared to DQN.

关键词： needle surgical insertion

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LiFT: Lightweight, FPGA-tailored 3D object detection based on LiDAR data

arXiv

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arXiv 2025年

作者： Lis, Konrad Kryjak, Tomasz Gorgoń, Marek Embedded Vision Systems Group Department of Automatic Control and Robotics AGH University of Krakow Al. Mickiewicza 30 Krakow30-059 Poland

This paper presents LiFT, a lightweight, fully quantized 3D object detection algorithm for LiDAR data, optimized for real-time inference on FPGA platforms. Through an in-depth analysis of FPGA-specific limitations, we identify a set of FPGA-induced constraints that shape the algorithm’s design. These include a computational complexity limit of 30 GMACs (billion multiply-accumulate operations), INT8 quantization for weights and activations, 2D cell-based processing instead of 3D voxels, and minimal use of skip connections. To meet these constraints while maximizing performance, LiFT combines novel mechanisms with state-of-the-art techniques such as reparameterizable convolutions and fully sparse architecture. Key innovations include the Dual-bound Pillar Feature Net, which boosts performance without increasing complexity, and an efficient scheme for INT8 quantization of input features. With a computational cost of just 20.73 GMACs, LiFT stands out as one of the few algorithms targeting minimal-complexity 3D object detection. Among comparable methods, LiFT ranks first, achieving an mAP of 51.84% and an NDS of 61.01% on the challenging NuScenes validation dataset. The code will be available at https://***/vision-agh/lift. © 2025, CC BY.

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PID-fuzzy switching-based strategy to heading control for remote operated vehicle

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Neural Computing and Applications 2024年 1-17页

作者： Xie, Baolong He, Shuping Cao, Xiang Wang, Honghai Stojanovic, Vladimir Shi, Kaibo School of Electrical Engineering and Automation Anhui University Hefei230039 China School of Artificial Intelligence Anhui University Hefei230039 China School of Computing and Artificial Intelligence Chaohu University Chaohu238024 China Department of Automatic Control Robotics and Fluid Technique Faculty of Mechanical and Civil Engineering University of Kragujevac Kraljevo36000 Serbia School of Electronic Information and Electrical Engineering Chengdu University Chengdu610106 China

Accurate heading control is the premise for underwater vehicles to complete underwater operations. In order to improve the performance of heading control, this paper proposes a heading control strategy based on PID-fuzzy switching. First, the force analysis of the steering motion was carried out to derive the dynamics model of the steering motion. Then, the whole heading control process is divided into two phases, steering phase and holding phase. Fuzzy control is used in the steering phase, and PID control is used in the holding phase. By setting the automatic switching switch, the control system can switch freely between the two to meet the needs of system adjustment under different errors. Finally, the performance of the established heading control system is verified through motion control simulations and pool experiments, and the proposed control strategy is compared with other methods. The results show that the control strategy can effectively achieve ROV heading control with good steady-state accuracy, and the overall performance has been greatly improved. © The Author(s), under exclusive licence to Springer-Verlag London Ltd., part of Springer Nature 2024.

关键词： Fuzzy control

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Thermally-activated Biochemically-sustained Reactor for Soft Fluidic Actuation

Thermally-activated Biochemically-sustained Reactor for Soft...

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IEEE International Conference on robotics and Automation (ICRA)

作者： Jialun Liu MennaAllah Soliman Dana D. Damian Automatic Control and Systems Engineering Department Sheffield Robotics University of Sheffield Sheffield UK Insigneo Institute for in Silico Medicine University of Sheffield UK

ISBN: (数字)9798350384574

ISBN: (纸本)9798350384581

Soft robots have shown remarkable distinct capabilities due to their high deformation. Recently increasing attention has been dedicated to developing fully soft robots to exploit their full potential, with a recognition that electronic powering may limit this achievement. Alternative powering sources compatible with soft robots have been identified such as combustion and chemical reactions. A further milestone to such systems would be to increase the controllability and responsiveness of their underlying reactions in order to achieve more complex behaviors for soft robots. In this paper, we present a thermally-activated reactor incorporating a biocompatible hydrogel valve that enables control of the biochemical reaction of sugar and yeast. The biochemical reaction is utilized to generate contained pressure, which in turn powers a fluidic soft actuator. Experiments were conducted to evaluate the response time of the hydrogel valves with three different crosslinker concentrations. Among the tested concentrations, we found that the lowest crosslinker concentration yielded the fastest response time of the valve at an ambient temperature of 50°C. We also evaluated the pressure generation capacity of the reactor, which can reach up to 0.22 bar, and demonstrated the thermoresponsive behavior of the reactor to trigger a biochemical reaction for powering a fluidic soft actuator. This work opens up the possibility to power and control tetherless and fully soft robots.

关键词： Actuators Electric potential Deformation Hydrogels Soft robotics Valves Time factors

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Supervisory control for Smart Manufacturing Using FIWARE

Supervisory Control for Smart Manufacturing Using FIWARE

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On-Line Conference (ONCON), Industrial Electronics Society Annual

作者： Antonios N. Menexis Dimitrios G. Fragkoulis Fotis N. Koumboulis Nikolaos D. Kouvakas Department of Digital Industry Technologies Robotics Automatic Control and Cyber-Physical Systems Laboratory School of Science National & Kapodistrian University of Athens Euboea Greece

ISBN: (数字)9798331540319

ISBN: (纸本)9798331540326

The problem of providing smart manufacturing units, via supervisor control implemented in FIWARE, is studied. In order to investigate the problem at hand, an indicative manufacturing unit is considered, and the desired safe performance of the unit is achieved via a supervisory control architecture, being implemented in cloud computing environment. The model of the manufacturing unit is developed on the basis of the models of its sensors and actuators, in Discrete Event System (DES) form. The safe behavior of the unit is expressed in the form of nine rules. The rules are translated into nine regular languages that are realized as a set of proper supervisors. The supervisors are analytically determined and conducted in the open platform FIWARE, using all necessary smart data models and platform tools.

关键词： Cloud computing Actuators Web services Computational modeling Supervisory control Data models Sensor systems Intelligent sensors Smart manufacturing Milling machines

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Pulsating Fluidic Sensor for Sensing of Location, Pressure and Contact Area

Pulsating Fluidic Sensor for Sensing of Location, Pressure a...

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IEEE International Conference on robotics and Automation (ICRA)

作者： Joanna Jones Marco Pontin Dana D. Damian Department of Automatic Control and Systems Engineering Sheffield Biomedical Robotics Laboratory University of Sheffield United Kingdom Sheffield Robotics University of Sheffield UK Insigneo Institute for in Silico Medicine University of Sheffield UK

ISBN: (数字)9798350384574

ISBN: (纸本)9798350384581

Designing information-rich and space-efficient sensors is a key challenge for soft robotics, and crucial for the development of safe soft robots. Sensing and understanding the environmental interactions with a minimal footprint is especially important in the medical context, where portability and unhindered patient/user movement is a priority, to move towards personalized and decentralized healthcare solutions. In this work, a pulsating fluidic soft sensor (PFS) capable of determining location, pressure and contact area of press events is shown. The sensor relies on spatio-temporal resistance changes driven by a pulsating conductive fluid. The sensor demonstrates good repeatability and distinction of single and multiple press events, detecting single indents of sizes greater than 1 cm, forces larger than 2 N, and various locations across the sensor, as well as multiple indents spaced 2 cm apart. Furthermore, the sensor is demonstrated in two applications to detect foot placement and grip location. Overall, the sensor represents an improvement towards minimizing electronic hardware, and cost of the sensing solution, without sacrificing the richness of the sensing information in the field of soft fluidic sensors.

关键词： Presses Fluids Soft sensors Medical services Soft robotics Robot sensing systems Hardware

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A Two-Step Design for Robust Input-Output Decoupling of a Class of Uncertain and Linear Parameter Dependent Systems

A Two-Step Design for Robust Input-Output Decoupling of a Cl...

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Mediterranean Conference on control and Automation (MED)

作者： Michael G. Skarpetis Fotis N. Koumboulis Department of Digital Industry Technologies Robotics Automatic Control and Cyber-Physical Systems Laboratory School of Science National and Kapodistrian University of Athens Euboea Greece

ISBN: (数字)9798350395440

ISBN: (纸本)9798350395457

This research delves into the intricacies of achieving input-output decoupling for a class of uncertain linear parameter dependent systems. A combined approach is introduced, involving the utilization of a state feedback controller that incorporates both static and time-varying elements. The design of this controller aims to maintain insensitivity to uncertainties. The investigation establishes criteria for determining the feasibility of solving the robust input-output decoupling problem. Under these established conditions, a specific class of state feedback controllers is systematically identified as proficient in effectively addressing the stated problem. The proposed methodology entails deriving the controller and formulating solvability conditions to convert the original Parameter Dependent System (PDS) into an uncertain Linear Time-Invariant (L TI) system. Then an analytical presentation of a static state feedback controller is provided as a mean to resolve the input-output robust decoupling for the uncertain L TI system. The practical applicability of these findings is exemplified through successful implementation in a two-mass translation system, appropriately linked with a hydraulic actuator.

关键词： State feedback Uncertain systems Sufficient conditions Uncertainty Automation Hydraulic actuators control systems

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