Sfoglia per Corso CONTROL SYSTEMS ENGINEERING Laurea Magistrale (D.M. 270/2004)
Joint torques estimation of a robotic arm using neural networks
2022/2023 D'ADDATO, GIULIA
Kalman filtering for temperature estimation of electric motors
2021/2022 SÁNCHEZ EL RYFAIE, SAMIRA CAROLINA
Kinodynamic RRT* for path planning of a small fixed-wing UAV
2024/2025 LACOVARA, STEFANO
Latent Replay for Continual Learning on Edge devices with Efficient Architectures
2022/2023 TREMONTI, MATTEO
Learning Simultaneously Policies and Action Sequences for Robotic Manipulation Tasks
2024/2025 KURTOGLU, METEHAN
Learning stack of tasks for robotic mobile manipulation
2023/2024 ADAMI, ALESSANDRO
Learning-based Model Predictive Controller for Lateral Control of Autonomous Vehicles
2023/2024 LORENZI, CRISTIAN
Learning-based Nonlinear Model Predictive Control for A Motorcycle Virtual Rider
2021/2022 BIANCHIN, FRANCESCO
Learning-based Nonlinear Model Predictive Control with application to quadrotor control
2023/2024 COLAVITTI, GIACOMO
Learning-based Nonlinear MPC for Quadrotor Control
2022/2023 SIMONETTI, FILIPPO
Leveraging Multi-Modality in Self-Supervised Learning for Segmentation
2023/2024 GHORBANPOUR ARANI, MOHAMMADREZA
Lidar-based scale recovery dense SLAM for UAV navigation
2021/2022 ANDREOLI, JACOPO
Localization, tracking and segmentation of wire rods in a rolling mill: a computer vision-based approach.
2022/2023 CECCHINATO, SIMONE
Luenberger Observer Based Sensorless IPMSM control for Flux Weakening Applications
2022/2023 SHEHADI, ALI ALAKBAR
Machine Learning approaches for Anomaly Detection in Industrial IoT scenarios
2021/2022 CONVENTO, ENRICO
Machine Learning approaches for domestic coffee machines
2022/2023 TORTORA, NICOLAS
Machine Learning Techniques to Improve Bending Machine Performance
2021/2022 NOVELLO, NICOLA
Methodologies for the optimization of the pallet loading problem
2021/2022 BIN, LUCA
Methods for automatic anomaly detection in tomographic images of food and wood products
2023/2024 TRINCANATO, MARCO
Miglioramento della tracciabilità nelle linee di saldatura attraverso l'integrazione di lettori di codici basati su intelligenza artificiale nei sistemi di automazione
2023/2024 SEYEDHASSANIDOLATABAD, ALIREZA
Tipologia | Anno | Titolo | Titolo inglese | Autore | File |
---|---|---|---|---|---|
Lauree magistrali | 2022 | Joint torques estimation of a robotic arm using neural networks | Joint torques estimation of a robotic arm using neural networks | D'ADDATO, GIULIA | |
Lauree magistrali | 2021 | Kalman filtering for temperature estimation of electric motors | Kalman filtering for temperature estimation of electric motors | SÁNCHEZ EL RYFAIE, SAMIRA CAROLINA | |
Lauree magistrali | 2024 | Kinodynamic RRT* for path planning of a small fixed-wing UAV | Kinodynamic RRT* for path planning of a small fixed-wing UAV | LACOVARA, STEFANO | |
Lauree magistrali | 2022 | Latent Replay for Continual Learning on Edge devices with Efficient Architectures | Latent Replay for Continual Learning on Edge devices with Efficient Architectures | TREMONTI, MATTEO | |
Lauree magistrali | 2024 | Learning Simultaneously Policies and Action Sequences for Robotic Manipulation Tasks | Learning Simultaneously Policies and Action Sequences for Robotic Manipulation Tasks In this research, aim is to explore how robots can learn to perform complex tasks more effectively by combining reinforcement learning, behavior trees, and genetic programming. The idea is to help robots simultaneously figure out not just what actions to take, but also the best sequence of those actions to complete tasks like grasping or assembling objects. By using reinforcement learning, the robot can learn from trial and error, improving its decision-making over time. Behavior trees offer a structured way to define and adapt complex behaviors, making the robot's actions more flexible. Meanwhile, genetic programming will be used to evolve and optimize these behaviors, helping the robot find the most efficient strategies even in unpredictable environments. Ultimately, this research aims to create robots that are not only more capable but also more adaptable to the challenges they encounter in the real world. | KURTOGLU, METEHAN | |
Lauree magistrali | 2023 | Learning stack of tasks for robotic mobile manipulation | Learning stack of tasks for robotic mobile manipulation | ADAMI, ALESSANDRO | |
Lauree magistrali | 2023 | Learning-based Model Predictive Controller for Lateral Control of Autonomous Vehicles | Learning-based Model Predictive Controller for Lateral Control of Autonomous Vehicles | LORENZI, CRISTIAN | |
Lauree magistrali | 2021 | Learning-based Nonlinear Model Predictive Control for A Motorcycle Virtual Rider | Learning-based Nonlinear Model Predictive Control for A Motorcycle Virtual Rider | BIANCHIN, FRANCESCO | |
Lauree magistrali | 2023 | Learning-based Nonlinear Model Predictive Control with application to quadrotor control | Learning-based Nonlinear Model Predictive Control with application to quadrotor control | COLAVITTI, GIACOMO | |
Lauree magistrali | 2022 | Learning-based Nonlinear MPC for Quadrotor Control | Learning-based Nonlinear MPC for Quadrotor Control | SIMONETTI, FILIPPO | |
Lauree magistrali | 2023 | Leveraging Multi-Modality in Self-Supervised Learning for Segmentation | Leveraging Multi-Modality in Self-Supervised Learning for Segmentation | GHORBANPOUR ARANI, MOHAMMADREZA | |
Lauree magistrali | 2021 | Lidar-based scale recovery dense SLAM for UAV navigation | Lidar-based scale recovery dense SLAM for UAV navigation | ANDREOLI, JACOPO | |
Lauree magistrali | 2022 | Localization, tracking and segmentation of wire rods in a rolling mill: a computer vision-based approach. | Localization, tracking and segmentation of wire rods in a rolling mill: a computer vision-based approach. | CECCHINATO, SIMONE | |
Lauree magistrali | 2022 | Luenberger Observer Based Sensorless IPMSM control for Flux Weakening Applications | Luenberger Observer Based Sensorless IPMSM control for Flux Weakening Applications | SHEHADI, ALI ALAKBAR | |
Lauree magistrali | 2021 | Machine Learning approaches for Anomaly Detection in Industrial IoT scenarios | Machine Learning approaches for Anomaly Detection in Industrial IoT scenarios | CONVENTO, ENRICO | |
Lauree magistrali | 2022 | Machine Learning approaches for domestic coffee machines | Machine Learning approaches for domestic coffee machines | TORTORA, NICOLAS | |
Lauree magistrali | 2021 | Machine Learning Techniques to Improve Bending Machine Performance | Machine Learning Techniques to Improve Bending Machine Performance | NOVELLO, NICOLA | |
Lauree magistrali | 2021 | Methodologies for the optimization of the pallet loading problem | Methodologies for the optimization of the pallet loading problem | BIN, LUCA | |
Lauree magistrali | 2023 | Methods for automatic anomaly detection in tomographic images of food and wood products | Methods for automatic anomaly detection in tomographic images of food and wood products | TRINCANATO, MARCO | |
Lauree magistrali | 2023 | Miglioramento della tracciabilità nelle linee di saldatura attraverso l'integrazione di lettori di codici basati su intelligenza artificiale nei sistemi di automazione | Enhancing Traceability in Welding Lines through the Integration of AI-Powered Code Readers with Automation Systems | SEYEDHASSANIDOLATABAD, ALIREZA |
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