Sfoglia per Autore SACCHI, NIKOLAS
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.
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
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
Design of a Deep Neural Network-Based Integral Sliding Mode Control for Nonlinear Systems Under Fully Unknown Dynamics
2023-01-01 Vacchini, Edoardo; Sacchi, Nikolas; Incremona, Gian Paolo; Ferrara, Antonella
Sliding mode based fault diagnosis with deep reinforcement learning add‐ons for intrinsically redundant manipulators
2023-01-01 Sacchi, Nikolas; Incremona, Gian Paolo; Ferrara, Antonella
Neural network based integral sliding mode control of systems with time-varying state constraints
2023-01-01 Sacchi, Nikolas; Vacchini, Edoardo; Ferrara, Antonella
Integral Sliding Modes Generation via DRL-Assisted Lyapunov-Based Control for Robot Manipulators
2023-01-01 Sacchi, Nikolas; Incremona, Gian Paolo; Ferrara, Antonella
Actuator Fault Diagnosis With Neural Network-Integral Sliding Mode Based Unknown Input Observers
2023-01-01 Sacchi, Nikolas; Incremona, Gian Paolo; Ferrara, Antonella
On neural networks application in integral sliding mode control
2024-01-01 Sacchi, Nikolas; Vacchini, Edoardo; Incremona, Gian Paolo; Ferrara, Antonella
Neural Networks and Sliding Modes: Control, Observation, and Application to Robotics
2025-02-18 Sacchi, Nikolas
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