SANGIOVANNI, BIANCA

SANGIOVANNI, BIANCA  

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Titolo Data di pubblicazione Autore(i) File
A Configuration Space Reference Generation Approach for Real-Time Collision Avoidance of Industrial Robot Manipulators 1-gen-2021 Sacchi, N.; Sangiovanni, B.; Incremona, G. P.; Ferrara, A.
Deep Reinforcement Learning Based Self-Configuring Integral Sliding Mode Control Scheme for Robot Manipulators 1-gen-2018 Sangiovanni, Bianca; Incremona, Gian Paolo; Ferrara, Antonella; Piastra, Marco
Deep Reinforcement Learning for Collision Avoidance of Robotic Manipulators 1-gen-2018 Sangiovanni, Bianca; Rendiniello, Angelo; Incremona, Gian Paolo; Ferrara, Antonella; Piastra, Marco
Experimental Assessment of Deep Reinforcement Learning for Robot Obstacle Avoidance: A LPV Control Perspective 1-gen-2021 Incremona, G. P.; Sacchi, N.; Sangiovanni, B.; Ferrara, A.
Integral Sliding Mode Based Switched Structure Control Scheme for Robot Manipulators 1-gen-2018 Ferrara, Antonella; Incremona, Gian Paolo; Sangiovanni, Bianca
Scenario-Based Collision Avoidance Control with Deep Q-Networks for Industrial Robot Manipulators 1-gen-2021 Sacchi, Nikolas; Sangiovanni, Bianca; Incremona, Gian Paolo; Ferrara, Antonella
Self-Configuring Robot Path Planning With Obstacle Avoidance via Deep Reinforcement Learning 1-gen-2021 Sangiovanni, B; Incremona, Gp; Piastra, M; Ferrara, A
Self-configuring Robotic Systems: the use of Deep Reinforcement Learning as a tool for Industrial Manipulators 27-mag-2021 Sangiovanni, Bianca
Sliding Mode Fault Diagnosis with Vision in the Loop for Robot Manipulators 1-gen-2020 Ferrara, Antonella; Incremona, Gian Paolo; Sangiovanni, Bianca
Tracking control via switched Integral Sliding Mode with application to robot manipulators 1-gen-2019 Ferrara, A.; Incremona, G. P.; Sangiovanni, B.