28 citations · 45 across the 12 of their papers we have counts for
12 papers
HUI360: A 360° Egocentric Dataset and Baselines for Human-Robot Interaction Anticipation
Raphael Lorenzo-Louis, Fabio Amadio, Bertrand Luvison +1
As robots increasingly operate in human-populated environments, anticipating human intentions is essential for enabling proactive and socially aware behavior. Automatic anticipatio…
Learning Reusable Hybrid Motion Priors for Humanoid Locomotion from Motion Imitation
Valerio Belli, Valerio Modugno, Enrico Mingo Hoffman +1
Reinforcement learning can produce robust humanoid controllers, but each new task is typically trained as a separate policy with its own reward design and training process. Motion…
What Matters in Humanoid General Motion Tracking? An Empirical Study
Fabio Amadio, Enrico Mingo Hoffman
Humanoid general motion tracking requires policies that can follow diverse whole-body references while maintaining balance. Building such policies involves many practical design ch…
Compliant Non-Prehensile Pushing Manipulation
Francesco Cufino, Mario Selvaggio, Fabio Amadio +1
In this paper, we address the challenge of performing non-prehensile pushing operations with a compliant robotic manipulation system. To ensure safe operations in human-populated e…
What Can Robots Teach Us About Trust and Reliance? An interdisciplinary dialogue between Social Sciences and Social Robotics
Julien Wacquez, Elisabetta Zibetti, Joffrey Becker +5
As robots find their way into more and more aspects of everyday life, questions around trust are becoming increasingly important. What does it mean to trust a robot? And how should…
From Vocal Instructions to Household Tasks: The Inria TIAGo++ in the euROBIN Service Robots Coopetition
Fabio Amadio, Clemente Donoso, Dionis Totsila +6
This paper describes the Inria team's integrated robotics system used in the 1st euROBIN coopetition, during which service robots performed voice-activated household tasks in a kit…
FollowMe: a Robust Person Following Framework Based on Re-Identification and Gestures
Federico Rollo, Andrea Zunino, Gennaro Raiola +3
Human-robot interaction (HRI) has become a crucial enabler in houses and industries for facilitating operational flexibility. When it comes to mobile collaborative robots, this fle…
Learning Control from Raw Position Measurements
Fabio Amadio, Alberto Dalla Libera, Daniel Nikovski +2
We propose a Model-Based Reinforcement Learning (MBRL) algorithm named VF-MC-PILCO, specifically designed for application to mechanical systems where velocities cannot be directly…
Control of Mechanical Systems via Feedback Linearization Based on Black-Box Gaussian Process Models
Alberto Dalla Libera, Fabio Amadio, Daniel Nikovski +2
In this paper, we consider the use of black-box Gaussian process (GP) models for trajectory tracking control based on feedback linearization, in the context of mechanical systems.…
Controlled Gaussian Process Dynamical Models with Application to Robotic Cloth Manipulation
Fabio Amadio, Juan Antonio Delgado-Guerrero, Adrià Colomé +1
Over the last years, significant advances have been made in robotic manipulation, but still, the handling of non-rigid objects, such as cloth garments, is an open problem. Physical…
Model-based Policy Search for Partially Measurable Systems
Fabio Amadio, Alberto Dalla Libera, Ruggero Carli +2
In this paper, we propose a Model-Based Reinforcement Learning (MBRL) algorithm for Partially Measurable Systems (PMS), i.e., systems where the state can not be directly measured,…
Model-Based Policy Search Using Monte Carlo Gradient Estimation with Real Systems Application
Fabio Amadio, Alberto Dalla Libera, Riccardo Antonello +3
In this paper, we present a Model-Based Reinforcement Learning (MBRL) algorithm named \emph{Monte Carlo Probabilistic Inference for Learning COntrol} (MC-PILCO). The algorithm reli…