SACCHI, NIKOLAS

SACCHI, NIKOLAS  

DIPARTIMENTO DI INGEGNERIA INDUSTRIALE E DELL'INFORMAZIONE  

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Risultati 1 - 9 di 9 (tempo di esecuzione: 0.023 secondi).
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.
Actuator Fault Diagnosis With Neural Network-Integral Sliding Mode Based Unknown Input Observers 1-gen-2023 Sacchi, Nikolas; Incremona, Gian Paolo; Ferrara, Antonella
Deep reinforcement learning of robotic prosthesis for gait symmetry in trans-femoral amputated patients 1-gen-2021 Sacchi, N.; Incremona, G. P.; Ferrara, A.
Design of a Deep Neural Network-Based Integral Sliding Mode Control for Nonlinear Systems Under Fully Unknown Dynamics 1-gen-2023 Vacchini, Edoardo; Sacchi, Nikolas; Incremona, Gian Paolo; Ferrara, Antonella
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 Modes Generation via DRL-Assisted Lyapunov-Based Control for Robot Manipulators 1-gen-2023 Sacchi, Nikolas; Incremona, Gian Paolo; Ferrara, Antonella
Neural network based integral sliding mode control of systems with time-varying state constraints 1-gen-2023 Sacchi, Nikolas; Vacchini, Edoardo; Ferrara, Antonella
Neural Network-Based Practical/Ideal Integral Sliding Mode Control 1-gen-2022 Sacchi, N; Incremona, Gp; Ferrara, A
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