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cs.RO2026

STL-Based Motion Planning and Uncertainty-Aware Risk Analysis for Human-Robot Collaboration with a Multi-Rotor Aerial Vehicle

Giuseppe Silano, Amr Afifi, Martin Saska +1

This paper presents a motion planning and risk analysis framework for enhancing human-robot collaboration with a Multi-Rotor Aerial Vehicle. The proposed method employs Signal Temp…

cs.RO2026

The N-5 Scaling Law: Topological Dimensionality Reduction in the Optimal Design of Fully-actuated Multirotors

Antonio Franchi

The geometric design of fully-actuated and omnidirectional N-rotor aerial vehicles is conventionally formulated as a parametric optimization problem, seeking a single optimal set o…

cs.RO2026

Switching Among Feedback-Linearizing Output Sets (Melds): Dwell-Time and Compatibility Guarantees

Mirko Mizzoni, Pieter van Goor, Barbara Bazzana +1

We study switching among multiple square selections of output functions (melds) drawn from a deck of candidate outputs for nonlinear systems that are static feedback linearizable v…

cs.RO2026

Stability Analysis of Geometric Control for a Canonical Class of Underactuated Aerial Vehicles with Spurious Forces

Simone Orelli, Mirko Mizzoni, Antonio Franchi

Standard geometric control relies on force-moment decoupling, an assumption that breaks down in many aerial platforms due to spurious forces naturally induced by control moments. W…

cs.RO2025

Multi-robot Aerial Soft Manipulator For Floating Litter Collection

Antonio González-Morgado, Sander Smits, Guillermo Heredia +6

Removing floating litter from water bodies is crucial to preserving aquatic ecosystems and preventing environmental pollution. In this work, we present a multi-robot aerial soft ma…

cs.RO2025

Unified Feedback Linearization for Nonlinear Systems with Dexterous and Energy-Saving Modes

Mirko Mizzoni, Pieter van Goor, Antonio Franchi

Systems with a high number of inputs compared to the degrees of freedom (e.g. a mobile robot with Mecanum wheels) often have a minimal set of energy-efficient inputs needed to achi…