Victor Hernandez Moreno — accepted AI-conference papers

2026

Differentiable Obstacle Avoidance Framework for Robot Safety

Louis Fernandez, Sheila Sutjipto, Victor Hernandez Moreno, Anh Minh Tu, Marc G. Carmichael

RA-L 2026

Obstacle avoidance is a fundamental requirement for safe and reliable robot operation. Due to the lack of techniques capable of efficiently and accurately computing volumetric distances and their derivatives, many obstacle avoidance frameworks neglect the volumetric characteristics of objects by usi

Cited by 1 Source ↗Scholar ↗

2023

Guided Learning from Demonstration for Robust Transferability

Fouad Sukkar, Victor Hernandez Moreno, Teresa Vidal-Calleja, Jochen Deuse

ICRA 2023poster

Learning from demonstration (LfD) has the potential to greatly increase the applicability of robotic manipulators in modern industrial applications. Recent progress in LfD methods have put more emphasis in learning robustness than in guiding the demonstration itself in order to improve robustness. T…

Cited by 6 Source ↗Scholar ↗