← Search

Federico Benzi

6 accepted papers

2024

A Reinforcement Learning-based Control Strategy for Robust Interaction of Robotic Systems with Uncertain Environments

ICRA 2024poster

In the context of interaction with unmodelled systems, it becomes imperative for a robot controller to possess the capability to dynamically adjust its actions in real-time, enhancing its resilience in the face of fluctuating environmental conditions. This adaptation process must be performed in a s…

Cited by 2SourceScholar
2023

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

RA-L 2023

When interacting with unmodelled dynamic systems, a robot controller should be capable of adapting online its behavior, in order to be robust to the changing environmental conditions. In the paradigm of passivity-based control, virtual energy tanks allow to perform such adaptations in a robustly sta

Cited by 8SourceScholar
2022

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

RA-L 2022

While aerial manipulation has witnessed noticeable growth as a field in the last decade, most works investigated forms of interaction with static and rigid environments only. Whenever dynamic environments were considered, the employed methods often relied on the knowledge of the model of the environ

Cited by 33SourceScholar
2021

An Optimization Approach for a Robust and Flexible Control in Collaborative Applications

ICRA 2021poster

In Human-Robot Collaboration, the robot operates in a highly dynamic environment. Thus, it is pivotal to guarantee the robust stability of the system during the interaction but also a high flexibility of the robot behavior in order to ensure safety and reactivity to the variable conditions of the co…

Cited by 20SourceScholar