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20232026
most citedLaMI: Large Language Models for Multi-Modal Human-Robot Interaction

72 citations · 122 across the 7 of their papers we have counts for

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7 papers · 1 filter

cs.RO2026

MERGE: Guided Vision-Language Models for Multi-Actor Event Reasoning and Grounding in Human-Robot Interaction

Joerg Deigmoeller, Nakul Agarwal, Stephan Hasler +8

We introduce MERGE, a system for situational grounding of actors, objects, and events in dynamic human-robot group interactions. Effective collaboration in such settings requires c…

cs.RO2025

CARMA: Context-Aware Situational Grounding of Human-Robot Group Interactions by Combining Vision-Language Models with Object and Action Recognition

Joerg Deigmoeller, Stephan Hasler, Nakul Agarwal +8

We introduce CARMA, a system for situational grounding in human-robot group interactions. Effective collaboration in such group settings requires situational awareness based on a c…

cs.RO2025★ 2 cited

Mirror Eyes: Explainable Human-Robot Interaction at a Glance

Matti Krüger, Daniel Tanneberg, Chao Wang +2

The gaze of a person tends to reflect their interest. This work explores what happens when this statement is taken literally and applied to robots. Here we present a robot system t…

cs.RO2024★ 1 cited

Efficient Symbolic Planning with Views

Stephan Hasler, Daniel Tanneberg, Michael Gienger

Robotic planning systems model spatial relations in detail as these are needed for manipulation tasks. In contrast to this, other physical attributes of objects and the effect of d…

cs.RO2024★ 16 cited

To Help or Not to Help: LLM-based Attentive Support for Human-Robot Group Interactions

Daniel Tanneberg, Felix Ocker, Stephan Hasler +6

How can a robot provide unobtrusive physical support within a group of humans? We present Attentive Support, a novel interaction concept for robots to support a group of humans. It…

cs.RO2024★ 72 cited

LaMI: Large Language Models for Multi-Modal Human-Robot Interaction

Chao Wang, Stephan Hasler, Daniel Tanneberg +5

This paper presents an innovative large language model (LLM)-based robotic system for enhancing multi-modal human-robot interaction (HRI). Traditional HRI systems relied on complex…

cs.RO2023★ 31 cited

CoPAL: Corrective Planning of Robot Actions with Large Language Models

Frank Joublin, Antonello Ceravola, Pavel Smirnov +7

In the pursuit of fully autonomous robotic systems capable of taking over tasks traditionally performed by humans, the complexity of open-world environments poses a considerable ch…