Deep Reinforcement Learning Based Self-Configuring Integral Sliding Mode Control Scheme for Robot Manipulators. - Bianca Sangiovanni; Gian Paolo Incremona; Antonella Ferrara; Marco Piastra (CDC, 2018)

Deep Reinforcement Learning for Collision Avoidance of Robotic Manipulators. - Bianca Sangiovanni; Angelo Rendiniello; Gian Paolo Incremona; Antonella Ferrara; Marco Piastra (ECC, 2018)

Integral Sliding Mode Based Switched Structure Control Scheme for Robot Manipulators. - Antonella Ferrara; Gian Paolo Incremona; Bianca Sangiovanni (VSS, 2018)

Sliding Mode Fault Diagnosis with Vision in the Loop for Robot Manipulators. - Antonella Ferrara; Gian Paolo Incremona; Bianca Sangiovanni (New Trends in Robot Control, 2020)

Scenario-Based Collision Avoidance Control with Deep Q-Networks for Industrial Robot Manipulators. - Nikolas Sacchi; Bianca Sangiovanni; Gian Paolo Incremona; Antonella Ferrara (CDC, 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 (ECC, 2021)

Self-Configuring Robot Path Planning With Obstacle Avoidance via Deep Reinforcement Learning. - Bianca Sangiovanni; Gian Paolo Incremona; Marco Piastra; Antonella Ferrara (IEEE Control. Syst. Lett., 2021)