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Mostrati risultati da 114 a 133 di 222
Tipologia Anno Titolo Titolo inglese Autore File
Lauree magistrali 2023 Image-mmWave radio frequency domain translation with generative models for gesture recognition Image-mmWave radio frequency domain translation with generative models for gesture recognition BAHADORI, AEIN
Lauree magistrali 2021 Implementation of a black-box Learning-based Nonlinear Model Predictive Control for a clinker production plant Implementation of a black-box Learning-based Nonlinear Model Predictive Control for a clinker production plant SCOLA, DAVIDE
Lauree magistrali 2022 Implementation of adaptive nonlinear model predictive control on a PX4-enabled quad-rotor platform Implementation of adaptive nonlinear model predictive control on a PX4-enabled quad-rotor platform BONAZZA, MARCO CONCETTO
Lauree magistrali 2022 Implementation of Collaborative Robot Functions in Industrial Applications Implementation of Collaborative Robot Functions in Industrial Applications YASAR, GIZEM
Lauree magistrali 2023 Implementation of the dynamical model of an autonomous driver by using a Stanley controller: a simulation study for a Formula Student race vehicle Implementation of the dynamical model of an autonomous driver by using a Stanley controller: a simulation study for a Formula Student race vehicle FUSARO, VALENTINA
Lauree magistrali 2022 Improvement of time-series forecasting algorithms in low-power embedded systems by efficient online/incremental learning Improvement of time-series forecasting algorithms in low-power embedded systems by efficient online/incremental learning SHAMSAKI, EMAD
Lauree magistrali 2021 Including Metabolic Load in Bacterial Growth Rate: a Systems Biology Approach Including Metabolic Load in Bacterial Growth Rate: a Systems Biology Approach GAETAN, ELISA
Lauree magistrali 2024 Innovative Solutions for Policy Optimisation of Model-Based Reinforcement Learning Algorithms Innovative Solutions for Policy Optimisation of Model-Based Reinforcement Learning Algorithms CALÌ, MARCO
Lauree magistrali 2022 Integrating State-of-the-Art Approaches for Anomaly Detection and Localization in the Continual Learning Setting Integrating State-of-the-Art Approaches for Anomaly Detection and Localization in the Continual Learning Setting BUGARIC, JOVANA
Lauree magistrali 2022 Integrazione tra automazione e manutenzione nel World Class Manufacturing: il caso Tetra Pak Integration between automation and maintenance in World Class Manufacturing: the Tetra Pak case COLOMBO, ALDO
Lauree magistrali 2022 Interpretable Anomaly Detection for Automated Filling Systems through Machine Learning approaches Interpretable Anomaly Detection for Automated Filling Systems through Machine Learning approaches BELLAN, RICCARDO
Lauree magistrali 2023 Iterative Learning Control analysis for automotive testbed applications Iterative Learning Control analysis for automotive testbed applications MUSTACCHI, MARCO
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
Mostrati risultati da 114 a 133 di 222
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