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

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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…