output
20112025
most citedOptimal reconstruction of dynamical systems: A noise amplification approach

46 citations

24 papers

eess.SY2025

Globally Asymptotically Stable Trajectory Tracking of Underactuated UAVs using Geometric Algebra

Ignacio Rubio Scola, Omar Alejandro Garcia Alcantara, Steven Sandoval +3

This paper employs Geometric Algebra (GA) tools to model the dynamics of objects in 3-dimensional space, serving as a proof of concept to facilitate control design for trajectory t…

cs.RO2025★ 4 cited

The Rosario Dataset v2: Multimodal Dataset for Agricultural Robotics

Nicolas Soncini, Javier Cremona, Erica Vidal +3

We present a multi-modal dataset collected in a soybean crop field, comprising over two hours of recorded data from sensors such as stereo infrared camera, color camera, accelerome…

cs.CV2025★ 1 cited

The Monado SLAM Dataset for Egocentric Visual-Inertial Tracking

Mateo de Mayo, Daniel Cremers, Taihú Pire

Humanoid robots and mixed reality headsets benefit from the use of head-mounted sensors for tracking. While advancements in visual-inertial odometry (VIO) and simultaneous localiza…

cs.RO2025★ 3 cited

Optimizing Exploration with a New Uncertainty Framework for Active SLAM Systems

Sebastian Sansoni, Javier Gimenez, Gastón Castro +2

Accurate reconstruction of the environment is a central goal of Simultaneous Localization and Mapping (SLAM) systems. However, the agent's trajectory can significantly affect estim…

eess.SY2025★ 3 cited

Exact Leader Estimation: A New Approach for Distributed Differentiation

Rodrigo Aldana-Lopez, David Gomez-Gutierrez, Elio Usai +1

A novel strategy aimed at cooperatively differentiating a signal among multiple interacting agents is introduced, where none of the agents needs to know which agent is the leader,…

cs.RO2024★ 1 cited

Addressing the challenges of loop detection in agricultural environments

Nicolás Soncini, Javier Civera, Taihú Pire

While visual SLAM systems are well studied and achieve impressive results in indoor and urban settings, natural, outdoor and open-field environments are much less explored and stil…