activity
20232026
most citedReceding-Constraint Model Predictive Control using a Learned Approximate Control-Invariant Set

1 citations · 1 across the 5 of their papers we have counts for

collaborators

5 papers

cs.RO2026

Towards safe and optimal flight: Viability Kernel MPC for Fully Actuated Multirotor

Massimiliano Bertoni, Alberto Piccina, Gianni Lunardi +4

Industrial aerial robotics demands safety guarantees for navigation in unstructured environments while optimizing performance and computational efficiency. This paper presents a me…

cs.RO2025

How Robot Dogs See the Unseeable: Improving Visual Interpretability via Peering for Exploratory Robots

Oliver Bimber, Karl Dietrich von Ellenrieder, Michael Haller +6

In vegetated environments, such as forests, exploratory robots play a vital role in navigating complex, cluttered environments where human access is limited and traditional equipme…

cs.RO2025

Parallel-Constraint Model Predictive Control: Exploiting Parallel Computation for Improving Safety

Elias Fontanari, Gianni Lunardi, Matteo Saveriano +1

Ensuring constraint satisfaction is a key requirement for safety-critical systems, which include most robotic platforms. For example, constraints can be used for modeling joint pos…

eess.SY2024

Hybrid Lyapunov-based feedback stabilization of bipedal locomotion based on reference spreading

Riccardo Bertollo, Gianni Lunardi, Andrea Del Prete +1

We propose a hybrid formulation of the linear inverted pendulum model for bipedal locomotion, where the foot switches are triggered based on the center of mass position, removing t…

cs.RO2023★ 1 cited

Receding-Constraint Model Predictive Control using a Learned Approximate Control-Invariant Set

Gianni Lunardi, Asia La Rocca, Matteo Saveriano +1

In recent years, advanced model-based and data-driven control methods are unlocking the potential of complex robotics systems, and we can expect this trend to continue at an expone…