Marco Baracca — accepted AI-conference papers

2026

Speed-Optimized Motion Planning for Robotic Object Handling via Constrained Linear Convex Optimization

Yousef Farid, Marco Baracca, Giorgio Simonini, Paolo Salaris

RA-L 2026

This letter presents a framework for speed-optimized motion planning in robotic object handling, including dynamic throwing and pick-and-place with obstacle avoidance tasks. An S-curve-based optimization algorithm first computes optimal throwing configurations to ensure accurate object landing. A tw

Cited by 0 Source ↗Scholar ↗

2025

Benchmarking Multi-Object Grasping

Tianze Chen, Ricardo Frumento, Giulia Pagnanelli, Gianmarco Cei, Villa Keth, Shahaddin Gafarov +6

RA-L 2025

In this work, we describe a multi-object grasping benchmark to evaluate the grasping and manipulation capabilities of robotic systems in both pile and surface scenarios. The benchmark introduces three robot multi-object grasping benchmarking protocols designed to challenge different aspects of robot

Cited by 3 Source ↗Scholar ↗