Augmented Hierarchical Quadratic Programming for Adaptive Compliance Robot Control. - Francesco Tassi; Elena De Momi; Arash Ajoudani (ICRA, 2021)

A Reconfigurable Interface for Ergonomic and Dynamic Tele-Locomanipulation. - Soheil Gholami; Francesco Tassi; Elena De Momi; Arash Ajoudani (IROS, 2021)

Impact Planning and Pre-configuration based on Hierarchical Quadratic Programming. - Francesco Tassi; Soheil Gholami; Simone Giudice; Arash Ajoudani (ICRA, 2022)

Sociable and Ergonomic Human-Robot Collaboration through Action Recognition and Augmented Hierarchical Quadratic Programming. - Francesco Tassi; Francesco Iodice; Elena De Momi; Arash Ajoudani (IROS, 2022)

Impact-Friendly Object Catching at Non-Zero Velocity based on Hybrid Optimization and Learning. - Jianzhuang Zhao; Gustavo J. G. Lahr; Francesco Tassi; Alessandro Santopaolo; Elena De Momi; Arash Ajoudani (CoRR, 2022)

An adaptive compliance Hierarchical Quadratic Programming controller for ergonomic human-robot collaboration. - Francesco Tassi; Elena De Momi; Arash Ajoudani (Robotics Comput. Integr. Manuf., 2022)

Impact-Friendly Object Catching at Non-Zero Velocity Based on Combined Optimization and Learning. - Jianzhuang Zhao; Gustavo J. G. Lahr; Francesco Tassi; Alessandro Santopaolo; Elena De Momi; Arash Ajoudani (IROS, 2023)

A Distributed Processing Approach for Smooth Task Transitioning in Strict Hierarchical Control. - Francesco Tassi; Arash Ajoudani (ICRA, 2024)

Evaluating leadership roles in human-robot interaction via highly dynamic collaborative tasks. - Francesco Tassi; Gustavo J. G. Lahr; Doganay Sirintuna; Arash Ajoudani (RO-MAN, 2024)

Multi-Modal and Adaptive Robot Control through Hierarchical Quadratic Programming. - Francesco Tassi; Arash Ajoudani (J. Intell. Robotic Syst., 2024)

Mitigating Compensatory Movements in Prosthesis Users via Adaptive Collaborative Robotics. - Marta Lagomarsino; Robin Arbaud; Francesco Tassi; Arash Ajoudani (ICORR, 2025)

A combined learning and optimization framework to transfer human whole-body loco-manipulation skills to mobile manipulators. - Jianzhuang Zhao; Francesco Tassi; Yanlong Huang; Elena De Momi; Arash Ajoudani (Robotics Auton. Syst., 2025)

Simultaneously Learning of Motion, Stiffness, and Force From Human Demonstration Based on Riemannian DMP and QP Optimization. - Zhiwei Liao; Francesco Tassi; Chenwei Gong; Mattia Leonori; Fei Zhao 001; Gedong Jiang; Arash Ajoudani (IEEE Trans Autom. Sci. Eng., 2025)

IMA-Catcher: An IMpact-Aware Nonprehensile Catching Framework based on Combined Optimization and Learning. - Francesco Tassi; Jianzhuang Zhao; Gustavo J. G. Lahr; Luna Gava; Marco Monforte; Arren Glover; Chiara Bartolozzi; Arash Ajoudani (CoRR, 2025)