W dniach 22-25 sierpnia 2021 odbyła się (po rocznej przerwie) kolejna 25 konferencja Methods and Models in Automation and Robotics. Tematyka konferencji obejmuje obszary robotyki, sterowania, modelowania, identyfikacji, przetwarzania sygnałów, inteligentnych systemów sterowania. W konferencji MMAR’2021 wzięła udział liczna grupa pracowników Katedry Automatyki i Robotyki oraz doktorantów który wygłosili w sumie 18 referatów.
Wszystkie pracy zostały opublikowanie w materiałach konferencyjnych IEEEXplore.
Lista referatów wygłoszonych przez pracowników i doktorantów AGH:
- J. Żegleń-Włodarczyk and K. Dziedzic, "Optimization of the FOPID parameters of the 3D crane control system by using GWO," 2021 25th International Conference on Methods and Models in Automation and Robotics (MMAR), Międzyzdroje, Poland, 2021, pp. 13-18. doi: 10.1109/MMAR49549.2021.9528451 keywords: {Solid modeling;Three-dimensional displays;Cranes;Inference algorithms;Optimization;Tuning;Standards;3D crane;FOPID;optimization;GWO;ORA}, URL: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9528451&isnumber=9528425
- A. M. J. Skulimowski, P. Pukocz, I. Badecka and M. Kara, "A Novel Software Architecture of Anticipatory Harvesting Robot Teams," 2021 25th International Conference on Methods and Models in Automation and Robotics (MMAR), Międzyzdroje, Poland, 2021, pp. 47-52. doi: 10.1109/MMAR49549.2021.9528474 keywords: {Software architecture;Robot kinematics;Software algorithms;Robot vision systems;Knowledge based systems;Inspection;Manipulators;harvesting robots;anticipatory networks;coordination of robot teams;multicriteria optimization}, URL: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9528474&isnumber=9528425
- N.Pankiewicz, W. Turlej, M. Orłowski and T. Wrona, "Highway Pilot Training from Demonstration," 2021 25th International Conference on Methods and Models in Automation and Robotics (MMAR), Międzyzdroje, Poland, 2021, pp. 109-114. doi: 10.1109/MMAR49549.2021.9528436 keywords: {Training;Roads;Neural networks;Reinforcement learning;Safety;Planning;Task analysis;Learning from demonstration;behavioral cloning;automated driving;imitation learning}, URL: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9528436&isnumber=9528425
- W. Turlej and N. Pankiewicz, "Adversarial Trajectories Generation for Automotive Applications," 2021 25th International Conference on Methods and Models in Automation and Robotics (MMAR), Międzyzdroje, Poland, 2021, pp. 115-120. doi: 10.1109/MMAR49549.2021.9528492 keywords: {System performance;Roads;Virtual environments;Robustness;Trajectory;Safety;Advanced driver assistance systems}, URL: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9528492&isnumber=9528425
- M. K. Nowak and K. Lelowicz, "Weight Perturbation as a Method for Improving Performance of Deep Neural Networks," 2021 25th International Conference on Methods and Models in Automation and Robotics (MMAR), Międzyzdroje, Poland, 2021, pp. 127-132. doi: 10.1109/MMAR49549.2021.9528460 keywords: {Training;Deep learning;Additives;Algorithms;Perturbation methods;Neural networks;Network architecture;neural network;regularization;pruning;weight perturbation;deep learning}, URL: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9528460&isnumber=9528425
- P. Skruch, M. Szelest and P. Kowalczyk, "An Approach for Evaluating the Completeness of the Test Scenarios for the Vehicle Environmental Perception-Based Systems," 2021 25th International Conference on Methods and Models in Automation and Robotics (MMAR), Międzyzdroje, Poland, 2021, pp. 133-138. doi: 10.1109/MMAR49549.2021.9528454 keywords: {Training;Roads;Virtual environments;Data collection;Tools;Safety;Vehicle dynamics;automotive;vehicle;perception;testing;completeness}, URL: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9528454&isnumber=9528425
- M. Długosz, M. Roman and P. Węgrzyn, "Virtual simulation environment of an autonomous A-EVE vehicle," 2021 25th International Conference on Methods and Models in Automation and Robotics (MMAR), Międzyzdroje, Poland, 2021, pp. 168-172. doi: 10.1109/MMAR49549.2021.9528440 keywords: {Costs;Measurement uncertainty;Virtual environments;Interference;Kinematics;Data models;Numerical models;autonomous vehicle;simulation;virtual environment}, URL: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9528440&isnumber=9528425
- P. Siwek, "Analysis of microphone use for perception of autonomous vehicles," 2021 25th International Conference on Methods and Models in Automation and Robotics (MMAR), Międzyzdroje, Poland, 2021, pp. 173-178. doi: 10.1109/MMAR49549.2021.9528431 keywords: {Location awareness;Meters;Laser radar;Vehicle detection;Roads;Vehicle safety;Cameras;microphone;automotive;perception;active safety}, URL: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9528431&isnumber=9528425
- M. Jasiński, "Method for Road Occlusions Handling in Generic Sensor Models," 2021 25th International Conference on Methods and Models in Automation and Robotics (MMAR), Międzyzdroje, Poland, 2021, pp. 179-184. doi: 10.1109/MMAR49549.2021.9528443 keywords: {GSM;Roads;Estimation;Virtual environments;Robot sensing systems;Real-time systems;Data models;sensor models;simulation;virtual validation;occlusions estimation}, URL: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9528443&isnumber=9528425
- A. Cyba, H. Szolc and T. Kryjak, "A simple vision-based navigation and control strategy for autonomous drone racing," 2021 25th International Conference on Methods and Models in Automation and Robotics (MMAR), Międzyzdroje, Poland, 2021, pp. 185-190. doi: 10.1109/MMAR49549.2021.9528463 keywords: {Portable computers;Computational modeling;Graphics processing units;Process control;Data integration;Logic gates;Control systems;drone racing;AruCo markers;Tello;OpenCV;autonomous drones}, URL: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9528463&isnumber=9528425
- K. Paśko, E. Kucharska and J. Baranowski, "Evaluation of Hybrid Particle Swarm Optimization in the Multi-door Cross-docking Problem," 2021 25th International Conference on Methods and Models in Automation and Robotics (MMAR), Międzyzdroje, Poland, 2021, pp. 215-220. doi: 10.1109/MMAR49549.2021.9528480 keywords: {Sequential analysis;Costs;Heuristic algorithms;Stochastic processes;Simulated annealing;Inventory management;Particle swarm optimization;multi-door cross-docking problem;optimization problem;hybrid particle swarm optimization}, URL: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9528480&isnumber=9528425
- J. Baranowski, A. Dudek and R. Mularczyk, "Transient Anomaly Detection Using Gaussian Process Depth Analysis," 2021 25th International Conference on Methods and Models in Automation and Robotics (MMAR), Międzyzdroje, Poland, 2021, pp. 221-226. doi: 10.1109/MMAR49549.2021.9528470 keywords: {Analytical models;Sensitivity;Process control;Gaussian processes;Storage tanks;Steady-state;Reliability;transient state;fault detection;Gaussian Process;data depth}, URL: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9528470&isnumber=9528425
- A. Kowalewski, "Extremal Problems for Time Lag Hyperbolic Systems," 2021 25th International Conference on Methods and Models in Automation and Robotics (MMAR), Międzyzdroje, Poland, 2021, pp. 245-250. doi: 10.1109/MMAR49549.2021.9528456 keywords: {Sufficient conditions;Automation;Control systems;Boundary conditions;Mathematical model;Robots;boundary control;hyperbolic systems;time lags}, URL: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9528456&isnumber=9528425
- A. Tutaj et al., "A Fractional LQI Controller for a Magnetic Levitation System," 2021 25th International Conference on Methods and Models in Automation and Robotics (MMAR), Międzyzdroje, Poland, 2021, pp. 263-268. doi: 10.1109/MMAR49549.2021.9528486 keywords: {System performance;Control systems;Steady-state;Velocity measurement;Noise measurement;Time-domain analysis;Task analysis;magnetic levitation system;linear-quadratic-integral control;fractional-order integral;time-domain Oustaloup approximation}, URL: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9528486&isnumber=9528425
- K. Grobler-Debska, B. Żak, J. Baranowski, E. Kucharska and A. Domagala, "Research on effective analysis and forecasting of demand in ERP systems - case studies," 2021 25th International Conference on Methods and Models in Automation and Robotics (MMAR), Międzyzdroje, Poland, 2021, pp. 291-296. doi: 10.1109/MMAR49549.2021.9528464 keywords: {Supply chains;Companies;Tools;Predictive models;Software;Regression analysis;Forecasting;ERP systems;forecasting methods;supply chain planning;case studies}, URL: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9528464&isnumber=9528425
- J. Baranowski, W. Bauer, N. Kashpruk and M. Zagorowska, "Predicting system degradation using Bayesian time series models," 2021 25th International Conference on Methods and Models in Automation and Robotics (MMAR), Międzyzdroje, Poland, 2021, pp. 321-324. doi: 10.1109/MMAR49549.2021.9528483 keywords: {Degradation;Adaptation models;Analytical models;Uncertainty;Time series analysis;Predictive models;Maintenance engineering;centrifugal compressor;statistical modelling;time series;degradation;Facebook Prophet}, URL: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9528483&isnumber=9528425
- K. Oprzędkiewicz, K. Dziedzic and W. Mitkowski, "Accuracy analysis of the fractional order, positive, state space model of heat transfer process," 2021 25th International Conference on Methods and Models in Automation and Robotics (MMAR), Międzyzdroje, Poland, 2021, pp. 325-330. doi: 10.1109/MMAR49549.2021.9528434 keywords: {Analytical models;Robot vision systems;Estimation;Mean square error methods;Cost function;Minimization;Numerical models}, URL: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9528434&isnumber=9528425
- M. Drapała and W. Byrski, "Continuous-Time Model Predictive Control with Disturbances Compensation for a Glass Forehearth," 2021 25th International Conference on Methods and Models in Automation and Robotics (MMAR), Międzyzdroje, Poland, 2021, pp. 366-371. doi: 10.1109/MMAR49549.2021.9528433 keywords: {Adaptation models;Service robots;Partial differential equations;Glass;Predictive models;Prediction algorithms;Temperature control;model predictive control;adaptive control;continuous-time models;linear models;glass forehearth}, URL: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9528433&isnumber=9528425
