Giammarco Caroleo — accepted AI-conference papers

2026

Continuum Robot Localization using Distributed Time-of-Flight Sensors

Spencer Teetaert, Giammarco Caroleo, Marco Pontin, Sven Lilge, Jessica Burgner-Kahrs, Timothy Barfoot +1

RSS 2026poster

Localization and mapping of an environment are crucial tasks for any robot operating in unstructured environments. Time-of-flight (ToF) sensors (e.g.,~lidar) have proven useful in mobile robotics, where high-resolution sensors can be used for simultaneous localization and mapping. In soft and contin…

Cited by 0 Source ↗Scholar ↗

2025

Tiny LiDARs for Manipulator Self-Awareness: Sensor Characterization and Initial Localization Experiments

Giammarco Caroleo, Alessandro Albini, Daniele De Martini, Timothy D. Barfoot, Perla Maiolino

IROS 2025

For several tasks, ranging from manipulation to inspection, it is beneficial for robots to localize a target object in their surroundings. In this paper, we propose an approach that utilizes coarse point clouds obtained from miniaturized VL53L5CX Time-of-Flight (ToF) sensors (tiny LiDARs) to localiz

Cited by 3 Source ↗Scholar ↗

2024

A Proxy-Tactile Reactive Control for Robots Moving in Clutter

Giammarco Caroleo, Francesco Giovinazzo, Alessandro Albini, Francesco Grella, Giorgio Cannata, Perla Maiolino

IROS 2024poster

Robots performing tasks in challenging environments must be supported by control or planning algorithms that exploit sensor feedback to effectively plan the robot’s actions. In this paper, we propose a reactive control law that simultaneously utilizes proximity and tactile feedback to perform a pick…

Cited by 5 Source ↗Scholar ↗