OG-SGG: ontology-guided scene graph generation—a case study in transfer learning for telepresence robotics

F Amodeo, F Caballero, N Díaz-Rodríguez… - IEEE …, 2022 - ieeexplore.ieee.org
Scene graph generation from images is a task of great interest to applications such as
robotics, because graphs are the main way to represent knowledge about the world and …

The director task: a psychology-inspired task to assess cognitive and interactive robot architectures

G Sarthou, A Mayima, G Buisan… - 2021 30th IEEE …, 2021 - ieeexplore.ieee.org
Assessing robotic architecture for Human-Robot Interaction can be challenging due to the
number of features a robot has to endow to perform an acceptable interaction. While …

Perspective-corrected spatial referring expression generation for human–robot interaction

M Liu, C Xiao, C Chen - IEEE Transactions on Systems, Man …, 2022 - ieeexplore.ieee.org
Intelligent robots designed to interact with humans in real scenarios need to be able to refer
to entities actively by natural language. In spatial referring expression generation (REG), the …

Human aware task planning using verbal communication feasibility and costs

G Buisan, G Sarthou, R Alami - International Conference on Social …, 2020 - Springer
This paper addresses the problem of taking into account the feasibility and cost of verbal
communication actions at the task planning level in the context of human-robot interaction …

Overworld: Assessing the geometry of the world for Human-Robot Interaction

G Sarthou - IEEE Robotics and Automation Letters, 2023 - ieeexplore.ieee.org
For a robot to interact with humans in a given environment, a key need is to understand its
environment in terms of the objects composing it, the other agents acting in it, and the …

[HTML][HTML] ORPP—An Ontology for Skill-Based Robotic Process Planning in Agile Manufacturing

C Zhang Sprenger, JA Corrales Ramón, NU Baier - Electronics, 2024 - mdpi.com
Ontology plays a significant role in AI (Artificial Intelligence) and robotics by providing
structured data, reasoning, action understanding, context awareness, knowledge transfer …

JAHRVIS, a Supervision System for Human-Robot Collaboration

A Mayima, A Clodic, R Alami - 2022 31st IEEE International …, 2022 - ieeexplore.ieee.org
The supervision component is the binder of a robotic architecture. Without it, there is no task,
no interaction happening, it conducts the other components of the architecture towards the …

Extending Referring Expression Generation through shared knowledge about past Human-Robot collaborative activity

G Sarthou, G Buisan, A Clodic… - 2021 IEEE/RSJ …, 2021 - ieeexplore.ieee.org
Being able to refer to an object, a person, or a place in a non-ambiguous manner is a need
when one has to achieve collaborative activities with a partner. This is the so-called …

In which context are we interacting? A Context Reasoner for interactive and social robots

A Vigné, G Sarthou, E Repiso, A Clodic - Artificial Intelligence for Social …, 2022 - hal.science
To effectively interact with others, one has to understand the context in which the interaction
takes place. This understanding allows us to know how to act, how to interpret others' …

Knowledge representation and exploitation for interactive and cognitive robots

G Sarthou - 2021 - laas.hal.science
As robots begin to enter our daily lives, we need advanced knowledge representations and
associated reasoning capabilities to enable them to understand and model their …