Davide Tebaldi — accepted AI-conference papers

2025

Arc-Length-Based Warping for Robot Skill Synthesis from Multiple Demonstrations

Giovanni Braglia, Davide Tebaldi, André Eugênio Lazzaretti, Luigi Biagiotti

IROS 2025

In robotics, Learning from Demonstration (LfD) aims to transfer skills to robots by using multiple demonstrations of the same task. These demonstrations are recorded and processed to extract a consistent skill representation. This process typically requires temporal alignment through techniques such

Cited by 2 Source ↗code ↗Scholar ↗

2025

On the Analysis of Stability, Sensitivity and Transparency in Variable Admittance Control for pHRI Enhanced by Virtual Fixtures

Davide Tebaldi, Dario Onfiani, Luigi Biagiotti

IROS 2025

The interest in Physical Human-Robot Interaction (pHRI) has significantly increased over the last two decades, thanks to the availability of collaborative robots that ensure user safety during force exchanges. For this reason, stability concerns remain a key issue in the literature whenever new cont

Cited by 0 Source ↗Scholar ↗