On the elasticity in the dynamic decoupling of hybrid force/velocity control in the contour tracking task. - Nicola Pedrocchi; Antonio Visioli; Giacomo Ziliani; Giovanni Legnani (IROS, 2008)

Safe obstacle avoidance for industrial robot working without fences. - Nicola Pedrocchi; Matteo Malosio; Lorenzo Molinari Tosatti (IROS, 2009)

Robot-assisted upper-limb rehabilitation platform. - Matteo Malosio; Nicola Pedrocchi; Lorenzo Molinari Tosatti (HRI, 2010)

High-accuracy hand-eye calibration from motion on manifolds. - Federico Vicentini; Nicola Pedrocchi; Matteo Malosio; Lorenzo Molinari Tosatti (IROS, 2011)

The kinematic architecture of the Active Headframe: A new head support for awake brain surgery. - Matteo Malosio; Simone Pio Negri; Nicola Pedrocchi; Federico Vicentini; Francesco Cardinale; Lorenzo Molinari Tosatti (EMBC, 2012)

A spherical parallel three degrees-of-freedom robot for ankle-foot neuro-rehabilitation. - Matteo Malosio; Simone Pio Negri; Nicola Pedrocchi; Federico Vicentini; Marco Caimmi; Lorenzo Molinari Tosatti (EMBC, 2012)

Optimal robot dynamics local identification using genetic-based path planning in workspace subregions. - Enrico Villagrossi; Nicola Pedrocchi; Federico Vicentini; Lorenzo Molinari Tosatti (AIM, 2013)

SafeNet of Unsafe Devices - Extending the Robot Safety in Collaborative Workspaces. - Federico Vicentini; Nicola Pedrocchi; Lorenzo Molinari Tosatti (ICINCO (2), 2013)

A 3T2R parallel and partially decoupled kinematic architecture. - Matteo Malosio; Simone Pio Negri; Nicola Pedrocchi; Federico Vicentini; Lorenzo Molinari Tosatti (IROS, 2013)

On robot dynamic model identification through sub-workspace evolved trajectories for optimal torque estimation. - Nicola Pedrocchi; Enrico Villagrossi; Federico Vicentini; Lorenzo Molinari Tosatti (IROS, 2013)

Impedance Shaping Controller for Robotic Applications in Interaction with Compliant Environments. - Loris Roveda; Federico Vicentini; Nicola Pedrocchi; Francesco Braghin; Lorenzo Molinari Tosatti (ICINCO (2), 2014)

Robot Dynamic Model Identification Through Excitation Trajectories Minimizing the Correlation Influence among Essential Parameters. - Enrico Villagrossi; Giovanni Legnani; Nicola Pedrocchi; Federico Vicentini; Lorenzo Molinari Tosatti; Fabio Abbà; Aldo Maria Bottero (ICINCO (2), 2014)

Robot-dynamic calibration improvement by local identification. - Nicola Pedrocchi; Enrico Villagrossi; Federico Vicentini; Lorenzo Molinari Tosatti (ICRA, 2014)

Force-tracking impedance control for manipulators mounted on compliant bases. - Loris Roveda; Federico Vicentini; Nicola Pedrocchi; Lorenzo Molinari Tosatti (ICRA, 2014)

Safe human-robot cooperation through sensor-less radio localization. - Vittorio Rampa; Federico Vicentini; Stefano Savazzi; Nicola Pedrocchi; Marcello Ioppolo; Matteo Giussani (INDIN, 2014)

Design and motion planning of body-in-white assembly cells. - Stefania Pellegrinelli; Nicola Pedrocchi; Lorenzo Molinari Tosatti; Anath Fischer; Tullio Tolio (IROS, 2014)

SafeNet: A methodology for integrating general-purpose unsafe devices in safe-robot rehabilitation systems. - Federico Vicentini; Nicola Pedrocchi; Matteo Malosio; Lorenzo Molinari Tosatti (Comput. Methods Programs Biomed., 2014)

Impedance Control based Force-tracking Algorithm for Interaction Robotics Tasks: An Analytically Force Overshoots-free Approach. - Loris Roveda; Federico Vicentini; Nicola Pedrocchi; Lorenzo Molinari Tosatti (ICINCO (2), 2015)

Impedance shaping controller for robotic applications involving interacting compliant environments and compliant robot bases. - Loris Roveda; Federico Vicentini; Nicola Pedrocchi; Francesco Braghin; Lorenzo Molinari Tosatti (ICRA, 2015)

A general analytical procedure for robot dynamic model reduction. - Manuel Beschi; Enrico Villagrossi; Nicola Pedrocchi; Lorenzo Molinari Tosatti (IROS, 2015)

Cartesian tasks oriented friction compensation through a reinforcement learning approach. - Loris Roveda; Giacomo Pallucca; Nicola Pedrocchi; Francesco Braghin; Lorenzo Molinari Tosatti (AIM, 2016)

FourByThree: Imagine humans and robots working hand in hand. - Iñaki Maurtua; Nicola Pedrocchi; Andrea Orlandini; Jose de Gea Fernandez; Christian Vogel 003; Aaron Geenen; Kaspar Althoefer; Ali Shafti (ETFA, 2016)

Optimal Impedance Force-Tracking Control Design With Impact Formulation for Interaction Tasks. - Loris Roveda; Niccolo Iannacci; Federico Vicentini; Nicola Pedrocchi; Francesco Braghin; Lorenzo Molinari Tosatti (IEEE Robotics Autom. Lett., 2016)

Planning and Execution with Robot Trajectory Generation in Industrial Human-Robot Collaboration. - Amedeo Cesta; Lorenzo Molinari Tosatti; Andrea Orlandini; Nicola Pedrocchi; Stefania Pellegrinelli; Tullio Tolio; Alessandro Umbrico (AIRO@AI*IA, 2017)

On the use of a temperature based friction model for a virtual force sensor in industrial robot manipulators. - Luca Simoni; Enrico Villagrossi; Manuel Beschi; Alberto Marini; Nicola Pedrocchi; Lorenzo Molinari Tosatti; Giovanni Legnani; Antonio Visioli (ETFA, 2017)

Industrial compliant robot bases in interaction tasks: a force tracking algorithm with coupled dynamics compensation. - Loris Roveda; Nicola Pedrocchi; Federico Vicentini; Lorenzo Molinari Tosatti (Robotica, 2017)

Human-Robot Cooperative Interaction Control for the Installation of Heavy and Bulky Components. - Loris Roveda; Nicola Castaman; Stefano Ghidoni; Paolo Franceschi; Nicoló Boscolo; Enrico Pagello; Nicola Pedrocchi (SMC, 2018)

Fuzzy Impedance Control for Enhancing Capabilities of Humans in Onerous Tasks Execution. - Loris Roveda; Shaghavezh Haghshenas; Alessio Prini; Tito Dinon; Nicola Pedrocchi; Francesco Braghin; Lorenzo Molinari Tosatti (UR, 2018)

Estimation of robot execution time for close proximity human-robot collaboration. - Stefania Pellegrinelli; Nicola Pedrocchi (Integr. Comput. Aided Eng., 2018)

A human mimicking control strategy for robotic deburring of hard materials. - Enrico Villagrossi; Nicola Pedrocchi; Manuel Beschi; Lorenzo Molinari Tosatti (Int. J. Comput. Integr. Manuf., 2018)

Optimal planning in robotized cladding processes on generic surfaces. - Paolo Magnoni; Nicola Pedrocchi; Sebastian Thieme; Giovanni Legnani (Robotica, 2018)

Viability and Feasibility of Constrained Kinematic Control of Manipulators. - Marco Faroni; Manuel Beschi; Nicola Pedrocchi; Antonio Visioli (Robotics, 2018)

Iterative Learning Procedure With Reinforcement for High-Accuracy Force Tracking in Robotized Tasks. - Loris Roveda; Giacomo Pallucca; Nicola Pedrocchi; Francesco Braghin; Lorenzo Molinari Tosatti (IEEE Trans. Ind. Informatics, 2018)

An MPC Framework for Online Motion Planning in Human-Robot Collaborative Tasks. - Marco Faroni; Manuel Beschi; Nicola Pedrocchi (ETFA, 2019)

Assisting Operators in Heavy Industrial Tasks: On the Design of an Optimized Cooperative Impedance Fuzzy-Controller With Embedded Safety Rules. - Loris Roveda; Shaghayegh Haghshenas; Marco Caimmi; Nicola Pedrocchi; Lorenzo Molinari Tosatti (Frontiers Robotics AI, 2019)

Predictive Inverse Kinematics for Redundant Manipulators With Task Scaling and Kinematic Constraints. - Marco Faroni; Manuel Beschi; Nicola Pedrocchi; Antonio Visioli (IEEE Trans. Robotics, 2019)

A Control Framework Definition to Overcome Position/Interaction Dynamics Uncertainties in Force-Controlled Tasks. - Loris Roveda; Nicola Castaman; Paolo Franceschi; Stefano Ghidoni; Nicola Pedrocchi (ICRA, 2020)

A Layered Control Approach to Human-Aware Task and Motion Planning for Human-Robot Collaboration. - Marco Faroni; Manuel Beschi; Stefano Ghidini; Nicola Pedrocchi; Alessandro Umbrico; Andrea Orlandini; Amedeo Cesta (RO-MAN, 2020)

Precise Robotic Manipulation of Bulky Components. - Paolo Franceschi; Nicola Castaman; Stefano Ghidoni; Nicola Pedrocchi (IEEE Access, 2020)

A Robust Linear Control Strategy to Enhance Damping of a Series Elastic Actuator on a Collaborative Robot. - Stefano Ghidini; Manuel Beschi; Nicola Pedrocchi (J. Intell. Robotic Syst., 2020)

Model-Based Reinforcement Learning Variable Impedance Control for Human-Robot Collaboration. - Loris Roveda; Jeyhoon Maskani; Paolo Franceschi; Arash Abdi; Francesco Braghin; Lorenzo Molinari Tosatti; Nicola Pedrocchi (J. Intell. Robotic Syst., 2020)

Inverse Kinematics of Redundant Manipulators With Dynamic Bounds on Joint Movements. - Marco Faroni; Manuel Beschi; Nicola Pedrocchi (IEEE Robotics Autom. Lett., 2020)

PIROS: Cooperative, Safe and Reconfigurable Robotic Companion for CNC Pallets Load/Unload Stations. - Federico Vicentini; Nicola Pedrocchi; Manuel Beschi; Matteo Giussani; Niccolò Iannacci; Paolo Magnoni; Stefania Pellegrinelli; Loris Roveda; Enrico Villagrossi; Mehrnoosh Askarpour; Iñaki Maurtua; Alberto Tellaeche; et al. (EuRoC, 2020)

Simplify the robot programming through an action-and-skill manipulation framework. - Enrico Villagrossi; Nicola Pedrocchi; Manuel Beschi (ETFA, 2021)

Anytime informed path re-planning and optimization for human-robot collaboration. - Cesare Tonola; Marco Faroni; Nicola Pedrocchi; Manuel Beschi (RO-MAN, 2021)

Improved Tracking and Docking of Industrial Mobile Robots Through UKF Vision-Based Kinematics Calibration. - Stefano Mutti; Nicola Pedrocchi (IEEE Access, 2021)

Analysis of Interlaboratory Safety Related Tests in Power and Force Limited Collaborative Robots. - Adriano Scibilia; Marcello Valori; Nicola Pedrocchi; Irene Fassi; Sebastian Herbster; Roland Behrens; José F. Saenz; Alice Magisson; Catherine Bidard; Morten Kühnrich; Aske Bach Lassen; Kurt Nielsen (IEEE Access, 2021)

Anytime informed path re-planning and optimization for robots in changing environments. - Cesare Tonola; Marco Faroni; Nicola Pedrocchi; Manuel Beschi (CoRR, 2021)

Towards optimal task positioning in multi-robot cells, using nested meta-heuristic swarm algorithms. - Stefano Mutti; Giorgio Nicola; Manuel Beschi; Nicola Pedrocchi; Lorenzo Molinari Tosatti (Robotics Comput. Integr. Manuf., 2021)

A software tool for human-robot shared-workspace collaboration with task precedence constraints. - Terrin Babu Pulikottil; Stefania Pellegrinelli; Nicola Pedrocchi (Robotics Comput. Integr. Manuf., 2021)

Path Planning Methodology for Multi-Layer Welding of Intersecting Pipes Considering Collision Avoidance. - Mehdi Shahabi; Hashem Ghariblu; Manuel Beschi; Nicola Pedrocchi (Robotica, 2021)

Inverse Optimal Control for the identification of human objective: a preparatory study for physical Human-Robot Interaction. - Paolo Franceschi; Nicola Pedrocchi; Manuel Beschi (ETFA, 2022)

Learning Action Duration and Synergy in Task Planning for Human-Robot Collaboration. - Samuele Sandrini; Marco Faroni; Nicola Pedrocchi (ETFA, 2022)

Cloud-Based Visually Aided Mobile Manipulator Kinematic Parameters Calibration. - Stefano Mutti; Vito Renò; Massimiliano Nitti; Giovanni Dimauro; Nicola Pedrocchi (ICIAP Workshops (1), 2022)

Adaptive Impedance Controller for Human-Robot Arbitration based on Cooperative Differential Game Theory. - Paolo Franceschi; Nicola Pedrocchi; Manuel Beschi (ICRA, 2022)

Modeling of control delay in human-robot collaboration. - Adriano Scibilia; Nicola Pedrocchi; Luigi Fortuna (IECON, 2022)

Human-robot co-manipulation of soft materials: enable a robot manual guidance using a depth map feedback. - Giorgio Nicola; Enrico Villagrossi; Nicola Pedrocchi (RO-MAN, 2022)

Accelerating sampling-based optimal path planning via adaptive informed sampling. - Marco Faroni; Nicola Pedrocchi; Manuel Beschi (CoRR, 2022)

Editorial: Digital Twin for Industry 4.0. - Diego Borro; Gabriel Zachmann; Franca Giannini; Krzysztof Walczak 001; Nicola Pedrocchi (Frontiers Virtual Real., 2022)

A framework for cyber-physical production system management and digital twin feedback monitoring for fast failure recovery. - Paolo Franceschi; Stefano Mutti; Kiara Ottogalli; Daniel Rosquete; Diego Borro; Nicola Pedrocchi (Int. J. Comput. Integr. Manuf., 2022)

Safety-Aware Time-Optimal Motion Planning With Uncertain Human State Estimation. - Marco Faroni; Manuel Beschi; Nicola Pedrocchi (IEEE Robotics Autom. Lett., 2022)

Optimal design of robotic work-cell through hierarchical manipulability maximization. - Paolo Franceschi; Stefano Mutti; Nicola Pedrocchi (Robotics Comput. Integr. Manuf., 2022)

Human Control Model Estimation in Physical Human-Machine Interaction: A Survey. - Adriano Scibilia; Nicola Pedrocchi; Luigi Fortuna (Sensors, 2022)

OpenMORE: an open-source tool for sampling-based path replanning in ROS. - Cesare Tonola; Manuel Beschi; Marco Faroni; Nicola Pedrocchi (ETFA, 2023)

Modeling and Analysis of pHRI with Differential Game Theory. - Paolo Franceschi; Manuel Beschi; Nicola Pedrocchi; Anna Valente (ICAR, 2023)

Learning Human Motion Intention for pHRI Assistive Control. - Paolo Franceschi; Fabio Bertini; Francesco Braghin; Loris Roveda; Nicola Pedrocchi; Manuel Beschi (IROS, 2023)

Spatio-Temporal Avoidance of Predicted Occupancy in Human-Robot Collaboration. - Jared Flowers; Marco Faroni; Gloria J. Wiens; Nicola Pedrocchi (RO-MAN, 2023)

Depth image-based deformation estimation of deformable objects for collaborative mobile transportation. - Giorgio Nicola; Stefano Mutti; Enrico Villagrossi; Nicola Pedrocchi (RO-MAN, 2023)

Modeling Nonlinear Dynamics in Human-Machine Interaction. - Adriano Scibilia; Nicola Pedrocchi; Luigi Fortuna (IEEE Access, 2023)

Anytime Informed Multi-Path Replanning Strategy for Complex Environments. - Cesare Tonola; Marco Faroni; Manuel Beschi; Nicola Pedrocchi (IEEE Access, 2023)

Optimal task and motion planning and execution for human-robot multi-agent systems in dynamic environments. - Marco Faroni; Alessandro Umbrico; Manuel Beschi; Andrea Orlandini; Amedeo Cesta; Nicola Pedrocchi (CoRR, 2023)

Predicting human motion intention for pHRI assistive control. - Paolo Franceschi; Fabio Bertini; Francesco Braghin; Loris Roveda; Nicola Pedrocchi; Manuel Beschi (CoRR, 2023)

Hiding task-oriented programming complexity: an industrial case study. - Enrico Villagrossi; Michele Delledonne; Marco Faroni; Manuel Beschi; Nicola Pedrocchi (Int. J. Comput. Integr. Manuf., 2023)

Over three decades of upper-limb robotic neurorehabilitation: drawing conclusions and future work. - Adriano Scibilia; Alessio Prini; Tito Dinon; Nicola Pedrocchi; Marco Caimmi (CASE, 2024)

Enabling Cognitive Robotics Through Autonomous Motion Planning and Model-Driven Intuitive Programming. - Antonio Venezia; Ileana Romata; Giorgio Nicola; Roberto Fausti; Massimiliano Nitti; Adriano Liso; Vito Renò; Nicola Pedrocchi; Manuel Beschi; Nicola Longo; Giovanni Di Stefano; Simone Panicucci (ERF (1), 2024)

Elasto-plastic Control for Physical Human-Robot Interaction. - Roberto Fausti; Stefano Ghidini; Manuel Beschi; Nicola Pedrocchi (ETFA, 2024)

Sim-to-Real RNN-Based Framework for the Precise Positioning of Autonomous Mobile Robots. - Stefano Mutti; Nicola Pedrocchi; Anna Valente; Giovanni Dimauro (IEEE Access, 2024)

A Nonlinear Modeling Framework for Force Estimation in Human-Robot Interaction. - Adriano Scibilia; Nicola Pedrocchi; Luigi Fortuna (IEEE Access, 2024)

Co-manipulation of soft-materials estimating deformation from depth images. - Giorgio Nicola; Enrico Villagrossi; Nicola Pedrocchi (Robotics Comput. Integr. Manuf., 2024)

Adaptive hybrid local-global sampling for fast informed sampling-based optimal path planning. - Marco Faroni; Nicola Pedrocchi; Manuel Beschi (Auton. Robots, 2024)

Correction: Adaptive hybrid local-global sampling for fast informed sampling-based optimal path planning. - Marco Faroni; Nicola Pedrocchi; Manuel Beschi (Auton. Robots, 2024)

Optimal Task and Motion Planning and Execution for Multiagent Systems in Dynamic Environments. - Marco Faroni; Alessandro Umbrico; Manuel Beschi; Andrea Orlandini; Amedeo Cesta; Nicola Pedrocchi (IEEE Trans. Cybern., 2024)

Human-Robot Role Arbitration via Differential Game Theory. - Paolo Franceschi; Nicola Pedrocchi; Manuel Beschi (IEEE Trans Autom. Sci. Eng., 2024)

Augmented Costmap-Based Path Planning and Control for Multi-Mobile Robot Rigid Formation. - Stefano Mutti; Roberto Fausti; Nicola Pedrocchi; Anna Valente (SIMPAR, 2025)

Trajectory Prediction in Upper-Limb Robotic Rehabilitation and its Applicability to Post-Stroke Patients: A Preliminary Analysis. - Adriano Scibilia; Nicola Pedrocchi; Marco Caimmi (SIMPAR, 2025)

Learning and planning for optimal synergistic human-robot coordination in manufacturing contexts. - Samuele Sandrini; Marco Faroni; Nicola Pedrocchi (Robotics Comput. Integr. Manuf., 2025)

Design of an Assistive Controller for Physical Human-Robot Interaction Based on Cooperative Game Theory and Human Intention Estimation. - Paolo Franceschi; Davide Cassinelli; Nicola Pedrocchi; Manuel Beschi; Paolo Rocco (IEEE Trans Autom. Sci. Eng., 2025)

Reactive and Safety-Aware Path Replanning for Collaborative Applications. - Cesare Tonola; Marco Faroni; Saeed Abdolshah; Mazin Hamad; Sami Haddadin; Nicola Pedrocchi; Manuel Beschi (CoRR, 2025)