Search Results - "Shahid, Asad Ali"

Continuous control actions learning and adaptation for robotic manipulation through reinforcement learning by Shahid, Asad Ali, Piga, Dario, Braghin, Francesco, Roveda, Loris

“…This paper presents a learning-based method that uses simulation data to learn an object manipulation task using two model-free reinforcement learning (RL)…”
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Sensorless Optimal Interaction Control Exploiting Environment Stiffness Estimation by Roveda, Loris, Shahid, Asad Ali, Iannacci, Niccolo, Piga, Dario

“…Industrial robots are increasingly used to perform tasks that require an interaction with the surrounding environment (e.g., assembly tasks). Such environments…”
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Robot End-Effector Mounted Camera Pose Optimization in Object Detection-Based Tasks by Roveda, Loris, Maroni, Marco, Mazzuchelli, Lorenzo, Praolini, Loris, Shahid, Asad Ali, Bucca, Giuseppe, Piga, Dario

“…Robots equipped with the vision systems at the end-effector provide a powerful combination in industrial contexts, allowing to execute a wide range of…”
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Pairwise Preferences-Based Optimization of a Path-Based Velocity Planner in Robotic Sealing Tasks by Roveda, Loris, Maggioni, Beatrice, Marescotti, Elia, Shahid, Asad Ali, Maria Zanchettin, Andrea, Bemporad, Alberto, Piga, Dario

“…Production plants are being re-designed to implement human-centered solutions. Especially considering high added-value operations, robots are required to…”
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Decentralized Multi-Agent Control of a Manipulator in Continuous Task Learning by Shahid, Asad Ali, Sesin, Jorge Said Vidal, Pecioski, Damjan, Braghin, Francesco, Piga, Dario, Roveda, Loris

“…Many real-world tasks require multiple agents to work together. When talking about multiple agents in robotics, it is usually referenced to multiple…”
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Q-Learning-based model predictive variable impedance control for physical human-robot collaboration by Roveda, Loris, Testa, Andrea, Shahid, Asad Ali, Braghin, Francesco, Piga, Dario

“…Physical human-robot collaboration is increasingly required in many contexts (such as industrial and rehabilitation applications). The robot needs to interact…”
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Adaptive Optimization of Hyper-Parameters for Robotic Manipulation through Evolutionary Reinforcement Learning by Onori, Giulio, Shahid, Asad Ali, Braghin, Francesco, Roveda, Loris

“…Deep Reinforcement Learning applications are growing due to their capability of teaching the agent any task autonomously and generalizing the learning…”
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Learning Continuous Control Actions for Robotic Grasping with Reinforcement Learning by Shahid, Asad Ali, Roveda, Loris, Piga, Dario, Braghin, Francesco

“…Robots are nowadays increasingly required to deal with (partially) unknown tasks and situations. The robot has, therefore, to adapt its behavior to the…”
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Pairwise Preferences-Based Optimization of a Path-Based Velocity Planner in Robotic Sealing Tasks by Roveda, Loris, Maggioni, Beatrice, Marescotti, Elia, Shahid, Asad Ali, Zanchettin, Andrea Maria, Bemporad, Alberto, Piga, Dario

“…Production plants are being re-designed to implement human-centered solutions. Especially considering high added-value operations, robots are required to…”
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Integrating Reinforcement Learning with Foundation Models for Autonomous Robotics: Methods and Perspectives by Moroncelli, Angelo, Soni, Vishal, Shahid, Asad Ali, Maccarini, Marco, Forgione, Marco, Piga, Dario, Spahiu, Blerina, Roveda, Loris

“…Foundation models (FMs), large deep learning models pre-trained on vast, unlabeled datasets, exhibit powerful capabilities in understanding complex patterns…”
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RoboMorph: In-Context Meta-Learning for Robot Dynamics Modeling by Bazzi, Manuel Bianchi, Shahid, Asad Ali, Agia, Christopher, Alora, John, Forgione, Marco, Piga, Dario, Braghin, Francesco, Pavone, Marco, Roveda, Loris

“…The landscape of Deep Learning has experienced a major shift with the pervasive adoption of Transformer-based architectures, particularly in Natural Language…”
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Scaling Population-Based Reinforcement Learning with GPU Accelerated Simulation by Shahid, Asad Ali, Narang, Yashraj, Petrone, Vincenzo, Ferrentino, Enrico, Handa, Ankur, Fox, Dieter, Pavone, Marco, Roveda, Loris

“…In recent years, deep reinforcement learning (RL) has shown its effectiveness in solving complex continuous control tasks like locomotion and dexterous…”
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Multi-Objects Robotic Grasping Optimization Employing a 2D camera by Roveda, Loris, Farinella, Gloria, Maccarini, Marco, Pura, Filippo, Castaman, Nicola, Spahiu, Blerina, Shahid, Asad Ali, Marconi, Mattia, Ferrato, Oscar, Braghin, Francesco, Piga, Dario

“…Artificial intelligence algorithms can be exploited to enhance identification, localization, and grasping performance in robotics applications, employing…”
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