collaborators

6 papers

cs.RO2025

Expectations, Explanations, and Embodiment: Attempts at Robot Failure Recovery

Elmira Yadollahi, Fethiye Irmak Dogan, Yujing Zhang +4

Expectations critically shape how people form judgments about robots, influencing whether they view failures as minor technical glitches or deal-breaking flaws. This work explores…

cs.RO2025

STREAK: Streaming Network for Continual Learning of Object Relocations under Household Context Drifts

Ermanno Bartoli, Fethiye Irmak Dogan, Iolanda Leite

In real-world settings, robots are expected to assist humans across diverse tasks and still continuously adapt to dynamic changes over time. For example, in domestic environments,…

cs.RO2025

BT-ACTION: A Test-Driven Approach for Modular Understanding of User Instruction Leveraging Behaviour Trees and LLMs

Alexander Leszczynski, Sarah Gillet, Iolanda Leite +1

Natural language instructions are often abstract and complex, requiring robots to execute multiple subtasks even for seemingly simple queries. For example, when a user asks a robot…

cs.RO2025

Let's move on: Topic Change in Robot-Facilitated Group Discussions

Georgios Hadjiantonis, Sarah Gillet, Marynel Vázquez +2

Robot-moderated group discussions have the potential to facilitate engaging and productive interactions among human participants. Previous work on topic management in conversationa…

cs.RO2025

A Model-Agnostic Approach for Semantically Driven Disambiguation in Human-Robot Interaction

Fethiye Irmak Dogan, Maithili Patel, Weiyu Liu +2

Ambiguities are inevitable in human-robot interaction, especially when a robot follows user instructions in a large, shared space. For example, if a user asks the robot to find an…

cs.RO2025

How do Humans take an Object from a Robot: Behavior changes observed in a User Study

Parag Khanna, Elmira Yadollahi, Iolanda Leite +2

To facilitate human-robot interaction and gain human trust, a robot should recognize and adapt to changes in human behavior. This work documents different human behaviors observed…