Cristian Secchi

Full Professor

University of Modena and Reggio Emilia

Italy

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About

Dr. Cristian Secchi is a Full Professor at the University of Modena and Reggio Emilia, Italy. His research primarily focuses on topics related to robotics, including human-robot collaboration, control barrier functions, and safe physical interaction in dynamic environments. Recent publications highlight significant advancements in algorithms for task scheduling, trajectory planning, and gesture recognition in robotics.

Articles (15)

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2025

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2025

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2025

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2023

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2023

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2023

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2022

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2021

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2021

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2021

Collaborators (7)

Roland Siegwart

Professor and Lab Director

ETH Zürich

SWITZERLAND

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Marco Lippi

Associate Professor

University of Modena and Reggio Emilia

ITALY

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Lorenzo Sabattini

University of Modena and Reggio Emilia

ITALY

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Marcello Bonfe

Assistant Professor

Università degli Studi di Ferrara Dipartimento di Ingegneria

ITALY

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Riccardo Muradore

Associate Professor

University of Verona

ITALY

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Francesco Setti

University of Verona

ITALY

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Marco Carricato

University of Bologna

ITALY

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Cristian Secchi

Research Interests

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Contact this professor

About

Articles (15)

On the Computation of Sensitivity Tubes

Smart infrastructure and autonomous vehicles: Ensuring safety and efficiency in urban traffic with Control Barrier Functions

Enhancing Performance in Human–Robot Collaboration: A Modular Architecture for Task Scheduling and Safe Trajectory Planning

A Dynamic Planner for Safe and Predictable Human-Robot Collaboration

A General Pipeline for Online Gesture Recognition in Human–Robot Interaction

Two-Layer-Based Multiarms Bilateral Teleoperation Architecture

Unified Power and Admittance Adaptation for Safe and Effective Physical Interaction With Unmodelled Dynamic Environments

Adaptive Tank-based Control for Aerial Physical Interaction with Uncertain Dynamic Environments Using Energy-Task Estimation

An Energy-Based Control Architecture for Shared Autonomy

Safety and Efficiency in Robotics: The Control Barrier Functions Approach

A Resilient and Effective Task Scheduling Approach for Industrial Human-Robot Collaboration

Passivity and Control Barrier Functions: Optimizing the Use of Energy

A First Evaluation of a Multi-Modal Learning System to Control Surgical Assistant Robots via Action Segmentation

A Human-Centered Dynamic Scheduling Architecture for Collaborative Application

A Safety-Aware Kinodynamic Architecture for Human-Robot Collaboration

Collaborators (7)

Roland Siegwart

Marco Lippi

Lorenzo Sabattini

Marcello Bonfe

Riccardo Muradore

Francesco Setti

Marco Carricato

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