45 citations · 86 across the 19 of their papers we have counts for
23 papers
Social Intuition vs. Machine Reasoning: Anticipating Human-Robot Interaction from multiple modalities
Raphael Lorenzo-Louis, Bertrand Luvison, Serena Ivaldi
Anticipating whether a person will interact from one's own perspective is a highly intuitive task for humans, that relies on a combination of cues. We investigate how humans perfor…
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…
Native Extrapolation Awareness in Flow-Based Conditional Generation
Constantinos Tsakonas, Serena Ivaldi, Jean-Baptiste Mouret
The ability of Flow Matching (FM) to model complex conditional distributions has established it as the state-of-the-art for prediction tasks (e.g., robotics, weather forecasting).…
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…
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…
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…
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…
Words2Contact: Identifying Support Contacts from Verbal Instructions Using Foundation Models
Dionis Totsila, Quentin Rouxel, Jean-Baptiste Mouret +1
This paper presents Words2Contact, a language-guided multi-contact placement pipeline leveraging large language models and vision language models. Our method is a key component for…
Flow Matching Imitation Learning for Multi-Support Manipulation
Quentin Rouxel, Andrea Ferrari, Serena Ivaldi +1
Humanoid robots could benefit from using their upper bodies for support contacts, enhancing their workspace, stability, and ability to perform contact-rich and pushing tasks. In th…
Analysis and Perspectives on the ANA Avatar XPRIZE Competition
Kris Hauser, Eleanor Watson, Joonbum Bae +25
The ANA Avatar XPRIZE was a four-year competition to develop a robotic "avatar" system to allow a human operator to sense, communicate, and act in a remote environment as though ph…
Multi-Contact Whole-Body Force Control for Position-Controlled Robots
Quentin Rouxel, Serena Ivaldi, Jean-Baptiste Mouret
Many humanoid and multi-legged robots are controlled in positions rather than in torques, which prevents direct control of contact forces, and hampers their ability to create multi…
Feasibility Retargeting for Multi-contact Teleoperation and Physical Interaction
Quentin Rouxel, Ruoshi Wen, Zhibin Li +3
This short paper outlines two recent works on multi-contact teleoperation and the development of the SEIKO (Sequential Equilibrium Inverse Kinematic Optimization) framework. SEIKO…
Simultaneous Action Recognition and Human Whole-Body Motion and Dynamics Prediction from Wearable Sensors
Kourosh Darvish, Serena Ivaldi, Daniele Pucci
This paper presents a novel approach to solve simultaneously the problems of human activity recognition and whole-body motion and dynamics prediction for real-time applications. St…
Teleoperation of Humanoid Robots: A Survey
Kourosh Darvish, Luigi Penco, Joao Ramos +5
Teleoperation of humanoid robots enables the integration of the cognitive skills and domain expertise of humans with the physical capabilities of humanoid robots. The operational v…
Data-efficient learning of object-centric grasp preferences
Yoann Fleytoux, Anji Ma, Serena Ivaldi +1
Grasping made impressive progress during the last few years thanks to deep learning. However, there are many objects for which it is not possible to choose a grasp by only looking…
First do not fall: learning to exploit a wall with a damaged humanoid robot
Timothée Anne, Eloïse Dalin, Ivan Bergonzani +2
Humanoid robots could replace humans in hazardous situations but most of such situations are equally dangerous for them, which means that they have a high chance of being damaged a…
VP-GO: a "light" action-conditioned visual prediction model
Anji Ma, Yoann Fleytoux, Jean-Bapstiste Mouret +1
Visual prediction models are a promising solution for visual-based robotic grasping of cluttered, unknown soft objects. Previous models from the literature are computationally gree…
Prescient teleoperation of humanoid robots
Luigi Penco, Jean-Baptiste Mouret, Serena Ivaldi
Humanoid robots could be versatile and intuitive human avatars that operate remotely in inaccessible places: the robot could reproduce in the remote location the movements of an op…
Using exoskeletons to assist medical staff during prone positioning of mechanically ventilated COVID-19 patients: a pilot study
Serena Ivaldi, Pauline Maurice, Waldez Gomes +12
We conducted a pilot study to evaluate the potential and feasibility of back-support exoskeletons to help the caregivers in the Intensive Care Unit (ICU) of the University Hospital…
A Variational Time Series Feature Extractor for Action Prediction
Maxime Chaveroche, Adrien Malaisé, Francis Colas +2
We propose a Variational Time Series Feature Extractor (VTSFE), inspired by the VAE-DMP model of Chen et al., to be used for action recognition and prediction. Our method is based…
Trust as indicator of robot functional and social acceptance. An experimental study on user conformation to the iCub's answers
Ilaria Gaudiello, Elisabetta Zibetti, Sebastien Lefort +2
To investigate the functional and social acceptance of a humanoid robot, we carried out an experimental study with 56 adult participants and the iCub robot. Trust in the robot has…
Towards engagement models that consider individual factors in HRI: on the relation of extroversion and negative attitude towards robots to gaze and speech during a human-robot assembly task
Serena Ivaldi, Sebastien Lefort, Jan Peters +3
Estimating the engagement is critical for human - robot interaction. Engagement measures typically rely on the dynamics of the social signals exchanged by the partners, especially…
Tools for dynamics simulation of robots: a survey based on user feedback
Serena Ivaldi, Vincent Padois, Francesco Nori
The number of tools for dynamics simulation has grown in the last years. It is necessary for the robotics community to have elements to ponder which of the available tools is the b…