61 citations · 218 across the 23 of their papers we have counts for
10 papers · 1 filter
SLOT-V: Supervised Learning of Observer Models for Legible Robot Motion Planning in Manipulation
Sebastian Wallkotter, Mohamed Chetouani, Ginevra Castellano
We present SLOT-V, a novel supervised learning framework that learns observer models (human preferences) from robot motion trajectories in a legibility context. Legibility measures…
Automatic Context-Driven Inference of Engagement in HMI: A Survey
Hanan Salam, Oya Celiktutan, Hatice Gunes +1
An integral part of seamless human-human communication is engagement, the process by which two or more participants establish, maintain, and end their perceived connection. Therefo…
How unitizing affects annotation of cohesion
Eleonora Ceccaldi, Nale Lehmann-Willenbrock, Erica Volta +3
This paper investigates how unitizing affects external observers' annotation of group cohesion. We compared unitizing techniques belonging to these categories: interval coding, con…
Overcoming Referential Ambiguity in Language-Guided Goal-Conditioned Reinforcement Learning
Hugo Caselles-Dupré, Olivier Sigaud, Mohamed Chetouani
Teaching an agent to perform new tasks using natural language can easily be hindered by ambiguities in interpretation. When a teacher provides an instruction to a learner about an…
Pragmatically Learning from Pedagogical Demonstrations in Multi-Goal Environments
Hugo Caselles-Dupré, Olivier Sigaud, Mohamed Chetouani
Learning from demonstration methods usually leverage close to optimal demonstrations to accelerate training. By contrast, when demonstrating a task, human teachers deviate from opt…
Two ways to make your robot proactive: reasoning about human intentions, or reasoning about possible futures
Sera Buyukgoz, Jasmin Grosinger, Mohamed Chetouani +1
Robots sharing their space with humans need to be proactive in order to be helpful. Proactive robots are able to act on their own initiative in an anticipatory way to benefit human…
A New Nonlinear speaker parameterization algorithm for speaker identification
Mohamed Chetouani, Marcos Faundez-Zanuy, Bruno Gas +1
In this paper we propose a new parameterization algorithm based on nonlinear prediction, which is an extension of the classical LPC parameters. The parameters performances are esti…
Pedagogical Demonstrations and Pragmatic Learning in Artificial Tutor-Learner Interactions
Hugo Caselles-Dupré, Mohamed Chetouani, Olivier Sigaud
When demonstrating a task, human tutors pedagogically modify their behavior by either "showing" the task rather than just "doing" it (exaggerating on relevant parts of the demonstr…
Learning Collective Action under Risk Diversity
Ramona Merhej, Fernando P. Santos, Francisco S. Melo +2
Collective risk dilemmas (CRDs) are a class of n-player games that represent societal challenges where groups need to coordinate to avoid the risk of a disastrous outcome. Multi-ag…
A new approach to evaluating legibility: Comparing legibility frameworks using framework-independent robot motion trajectories
Sebastian Wallkotter, Mohamed Chetouani, Ginevra Castellano
Robots that share an environment with humans may communicate their intent using a variety of different channels. Movement is one of these channels and, particularly in manipulation…