Nikolas Sacchi

According to our database, Nikolas Sacchi authored at least 8 papers between 2021 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Design of a Deep Neural Network-Based Integral Sliding Mode Control for Nonlinear Systems Under Fully Unknown Dynamics.

Edoardo Vacchini, Nikolas Sacchi, Gian Paolo Incremona, Antonella Ferrara

IEEE Control. Syst. Lett., 2023

Neural network based integral sliding mode control of systems with time-varying state constraints.

Nikolas Sacchi, Edoardo Vacchini, Antonella Ferrara

Proceedings of the 31st Mediterranean Conference on Control and Automatio, 2023

Integral Sliding Modes Generation via DRL-Assisted Lyapunov-Based Control for Robot Manipulators.

Nikolas Sacchi, Gian Paolo Incremona, Antonella Ferrara

Proceedings of the European Control Conference, 2023

2022

Neural Network-Based Practical/Ideal Integral Sliding Mode Control.

Nikolas Sacchi, Gian Paolo Incremona, Antonella Ferrara

IEEE Control. Syst. Lett., 2022

Analysis of Hybrid Cable-Thruster actuated ROV in heavy lifting interventions.

Nikolas Sacchi, Enrico Simetti, Gianluca Antonelli, Giovanni Indiveri, Vincent Creuze, Marc Gouttefarde

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

2021

Deep Reinforcement Learning of Robotic Prosthesis for Gait Symmetry in Trans-Femoral Amputated Patients.

Nikolas Sacchi, Gian Paolo Incremona, Antonella Ferrara

Proceedings of the 29th Mediterranean Conference on Control and Automation, 2021

A Configuration Space Reference Generation Approach for Real-Time Collision Avoidance of Industrial Robot Manipulators.

Nikolas Sacchi, Bianca Sangiovanni, Gian Paolo Incremona, Antonella Ferrara

Proceedings of the 2021 European Control Conference, 2021

Scenario-Based Collision Avoidance Control with Deep Q-Networks for Industrial Robot Manipulators.

Nikolas Sacchi, Bianca Sangiovanni, Gian Paolo Incremona, Antonella Ferrara

Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021