most citedLearning-based decentralized control with collision avoidance for multi-agent systems

1 citations · 1 across the 11 of their papers we have counts for

collaborators

12 papers

eess.SY2026

Feasibility and Singularity in High-Order Safety-Critical Control for Quadrotor UAVs

Omayra Yago Nieto, Leonardo Colombo

We study high-order safety-critical control of quadrotor teams under bounded inputs and pairwise collision-avoidance constraints. Squared-distance barriers may lose thrust effectiv…

eess.SY2026

Safety-Critical Control for Quadrotor UAVs via Decentralized Navigation Functions

Omayra Yago Nieto, Alexandre Anahory Simoes, Leonardo Colombo

We study safety-critical control for teams of quadrotor UAVs driven by decentralized navigation functions under learned model uncertainty. These functions generate fully actuated t…

eess.SY2026

Robust Geometric Control of Catenary Robots under Unstructured Force Uncertainties

Alexandre Anahory Simoes, Leonardo Colombo

This paper considers the robust control of a catenary robot composed of two quadrotors connected by an inextensible cable. The system is modeled on \(SE(3)\), with the cable treate…

eess.SY2026

Data-Driven Boundary Control of Distributed Port-Hamiltonian Systems

Thomas Beckers, Leonardo Colombo

Distributed Port-Hamiltonian (dPHS) theory provides a powerful framework for modeling physical systems governed by partial differential equations and has enabled a broad class of b…

eess.SY2026

Structure-Preserving Learning of Nonholonomic Dynamics

Thomas Beckers, Anthony Bloch, Leonardo Colombo

Data-driven modeling is playing an increasing role in robotics and control, yet standard learning methods typically ignore the geometric structure of nonholonomic systems. As a con…

eess.SY2026

Virtual Constraint for a Quadrotor UAV Enforcing a Body-Axis Pointing Direction

Alexandre Anahory Simoes, Leonardo Colombo, Juan Giribet +1

We propose a geometric control framework on for quadrotors that enforces pointing-driven missions without completing a full attitude reference. The mission is encoded throu…

eess.SY2026

Observer-Based Estimation and Hydrostatic Inertia Modeling for Cooperative Transport of Variable-Inertia Loads with Quadrotors

Jacob Goodman, Leonardo Colombo, Juan Giribet

We address load-parameter estimation in cooperative aerial transport with time-varying mass and inertia, as in fluid-carrying payloads. Using an intrinsic manifold model of the mul…

eess.SY2026

Aggressiveness-Aware Learning-based Control of Quadrotor UAVs with Safety Guarantees

Leonardo Colombo, Thomas Beckers, Juan Giribet

This paper presents an aggressiveness-aware control framework for quadrotor UAVs that integrates learning-based oracles to mitigate the effects of unknown disturbances. Starting fr…

eess.SY2026

Learning-Based Geometric Leader-Follower Control for Cooperative Rigid-Payload Transport with Aerial Manipulators

Omayra Yago Nieto, Leonardo Colombo

This paper presents a learning-based tracking control framework for cooperative transport of a rigid payload by multiple aerial manipulators under rigid grasp constraints. A unifie…

cs.RO2026

Dual-quaternion learning control for autonomous vehicle trajectory tracking with safety guarantees

Omayra Yago Nieto, Alexandre Anahory Simoes, Juan I. Giribet +1

We propose a learning-based trajectory tracking controller for autonomous robotic platforms whose motion can be described kinematically on . The controller is formu…

eess.SY2025

Physics-informed Learning for Passivity-based Tracking Control

Thomas Beckers, Leonardo Colombo

Passivity-based control ensures system stability by leveraging dissipative properties and is widely applied in electrical and mechanical systems. Port-Hamiltonian systems (PHS), in…

eess.SY2025★ 1 cited

Learning-based decentralized control with collision avoidance for multi-agent systems

Omayra Yago Nieto, Alexandre Anahory Simoes, Juan I. Giribet +1

In this paper, we present a learning-based tracking controller based on Gaussian processes (GP) for collision avoidance of multi-agent systems where the agents evolve in the specia…