5 citations · 13 across the 7 of their papers we have counts for
6 papers · 1 filter
Interactive Disambiguation for Behavior Tree Execution
Matteo Iovino, Fethiye Irmak Doğan, Iolanda Leite +1
In recent years, robots are used in an increasing variety of tasks, especially by small- and medium- sized enterprises. These tasks are usually fast-changing, they have a collabora…
Mechanical Chameleons: Evaluating the effects of a social robot's non-verbal behavior on social influence
Patrik Jonell, Anna Deichler, Ilaria Torre +2
In this paper we present a pilot study which investigates how non-verbal behavior affects social influence in social robots. We also present a modular system which is capable of co…
Leveraging Explainability for Comprehending Referring Expressions in the Real World
Fethiye Irmak Dogan, Gaspar I. Melsion, Iolanda Leite
For effective human-robot collaboration, it is crucial for robots to understand requests from users and ask reasonable follow-up questions when there are ambiguities. While compreh…
Using Depth for Improving Referring Expression Comprehension in Real-World Environments
Fethiye Irmak Dogan, Iolanda Leite
In a human-robot collaborative task where a robot helps its partner by finding described objects, the depth dimension plays a critical role in successful task completion. Existing…
Open Challenges on Generating Referring Expressions for Human-Robot Interaction
Fethiye Irmak Doğan, Iolanda Leite
Effective verbal communication is crucial in human-robot collaboration. When a robot helps its human partner to complete a task with verbal instructions, referring expressions are…
Learning to Generate Unambiguous Spatial Referring Expressions for Real-World Environments
Fethiye Irmak Doğan, Sinan Kalkan, Iolanda Leite
Referring to objects in a natural and unambiguous manner is crucial for effective human-robot interaction. Previous research on learning-based referring expressions has focused pri…