Assistive robot operated via P300-based brain computer interface. - Filippo Arrichiello; Paolo Di Lillo; Daniele Di Vito; Gianluca Antonelli; Stefano Chiaverini (ICRA, 2017)

Vehicle Adaptive Control for Underwater Intervention Including Thrusters Dynamics. - Daniele Di Vito; Elisabetta Cataldi; Paolo Di Lillo; Gianluca Antonelli (CCTA, 2018)

Satellite-Based Tele-Operation of an Underwater Vehicle-Manipulator System. Preliminary Experimental Results. - Paolo Di Lillo; Daniele Di Vito; Enrico Simetti; Giuseppe Casalino; Gianluca Antonelli (ICRA, 2018)

Assistive Control Framework for Remotely Operated Vehicles. - Daniele Di Vito; Paolo Di Lillo; Filippo Arrichiello; Gianluca Antonelli (MED, 2018)

Dynamic planning of redundant robots within a set-based task-priority inverse kinematics framework. - Daniele Di Vito; Mathieux Bergeron; David Meger; Gregory Dudek; Gianluca Antonelli (CCTA, 2020)

Robotic Weight-based Object Relocation in Clutter via Tree-based Q-learning Approach using Breadth and Depth Search Techniques. - Giacomo Golluccio; Daniele Di Vito; Alessandro Marino; Gianluca Antonelli (ICAR, 2021)

Task-motion Planning via Tree-based Q-learning Approach for Robotic Object Displacement in Cluttered Spaces. - Giacomo Golluccio; Daniele Di Vito; Alessandro Marino; Alessandro Bria; Gianluca Antonelli (ICINCO, 2021)

Experimental validation of the modeling and control of a multibody underwater vehicle manipulator system for sea mining exploration. - Daniele Di Vito; Daniela De Palma; Enrico Simetti; Giovanni Indiveri; Gianluca Antonelli (J. Field Robotics, 2021)

BCI-Controlled Assistive Manipulator: Developed Architecture and Experimental Results. - Paolo Di Lillo; Filippo Arrichiello; Daniele Di Vito; Gianluca Antonelli (IEEE Trans. Cogn. Dev. Syst., 2021)

A dual-arm mobile robot system performing assistive tasks operated via P300-based brain computer interface. - Giuseppe Gillini; Paolo Di Lillo; Filippo Arrichiello; Daniele Di Vito; Alessandro Marino; Gianluca Antonelli; Stefano Chiaverini (Ind. Robot, 2022)

Objects Relocation in Clutter with Robot Manipulators via Tree-based Q-Learning Algorithm: Analysis and Experiments. - Giacomo Golluccio; Paolo Di Lillo; Daniele Di Vito; Alessandro Marino; Gianluca Antonelli (J. Intell. Robotic Syst., 2022)

Merging Global and Local Planners: Real-Time Replanning Algorithm of Redundant Robots Within a Task-Priority Framework. - Paolo Di Lillo; Daniele Di Vito; Gianluca Antonelli (IEEE Trans Autom. Sci. Eng., 2023)

Control framework of the ROBILAUT soil sampling robot: system overview and experimental results. - Daniele Di Vito; Paolo Di Lillo; Filippo Arrichiello; Cesare Ferone; Raffaele Amico; Gianluca Antonelli (Robotica, 2024)

Deep learning-based collision detection framework for robot tasks in clutter. - Giacomo Golluccio; Daniele Di Vito; Gianluca Antonelli; Alessandro Marino (Robotica, 2025)