SACCHI, NIKOLAS
SACCHI, NIKOLAS
DIPARTIMENTO DI INGEGNERIA INDUSTRIALE E DELL'INFORMAZIONE
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A Configuration Space Reference Generation Approach for Real-Time Collision Avoidance of Industrial Robot Manipulators
2021-01-01 Sacchi, N.; Sangiovanni, B.; Incremona, G. P.; Ferrara, A.
Deep reinforcement learning of robotic prosthesis for gait symmetry in trans-femoral amputated patients
2021-01-01 Sacchi, N.; Incremona, G. P.; Ferrara, A.
Experimental Assessment of Deep Reinforcement Learning for Robot Obstacle Avoidance: A LPV Control Perspective
2021-01-01 Incremona, G. P.; Sacchi, N.; Sangiovanni, B.; Ferrara, A.
Neural Network-Based Practical/Ideal Integral Sliding Mode Control
2022-01-01 Sacchi, N; Incremona, Gp; Ferrara, A
Scenario-Based Collision Avoidance Control with Deep Q-Networks for Industrial Robot Manipulators
2021-01-01 Sacchi, Nikolas; Sangiovanni, Bianca; Incremona, Gian Paolo; Ferrara, Antonella
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 of robotic prosthesis for gait symmetry in trans-femoral amputated patients | 1-gen-2021 | Sacchi, N.; Incremona, G. P.; Ferrara, A. | |
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. | |
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 |