works on

From the 1 of 7 linked papers with an AI index.

activity
20242026
collaborators

7 papers

cs.CV2026

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…

cs.LG2026

Native Extrapolation Awareness in Flow-Based Conditional Generation

Constantinos Tsakonas, Serena Ivaldi, Jean-Baptiste Mouret

The paper proposes Diverging Flows, a method that augments flow-based conditional generative models with built‑in detection of off‑manifold (extrapolation) inputs, improving safety…

cs.RO2026

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…

cs.RO2025

Extremum Flow Matching for Offline Goal Conditioned Reinforcement Learning

Quentin Rouxel, Clemente Donoso, Fei Chen +2

Imitation learning is a promising approach for enabling generalist capabilities in humanoid robots, but its scaling is fundamentally constrained by the scarcity of high-quality exp…

cs.RO2025

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…

cs.RO2025

Safe Bimanual Teleoperation with Language-Guided Collision Avoidance

Dionis Totsila, Clemente Donoso, Enrico Mingo Hoffman +2

Teleoperating precise bimanual manipulations in cluttered environments is challenging for operators, who often struggle with limited spatial perception and difficulty estimating di…