Ivan Virgala — accepted AI-conference papers

2026

A Cross-Embodiment Gripper Benchmark for Rigid-Object Manipulation in Aerial and Industrial Robotics

Marek Vagas, Martin Varga, Jaroslav Romancik, Ondrej Majercak, Alejandro Suárez, Aníbal Ollero +2

RA-L 2026

Robotic grippers are increasingly deployed across industrial, collaborative, and aerial platforms, where each embodiment imposes distinct mechanical, energetic, and operational constraints. Established YCB and NIST benchmarks quantify grasp success, force, or timing on a single platform, but do not

Cited by 0 Source ↗Scholar ↗

2025

Globally-Guided Geometric Fabrics for Reactive Mobile Manipulation in Dynamic Environments

Tomas Merva, Saray Bakker, Max Spahn, Danning Zhao, Ivan Virgala, Javier Alonso-Mora

RA-L 2025

Mobile manipulators operating in dynamic environments shared with humans and robots must adapt in real time to environmental changes to complete their tasks effectively. While global planning methods are effective at considering the full task scope, they lack the computational efficiency required fo

Cited by 3 Source ↗Scholar ↗