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Felix Ocker

4 accepted papers

2026

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

ICRA 2026poster

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 consistent situational awareness, built on persistent representations of people and objects and an episodic abstraction o…

2024

CoPAL: Corrective Planning of Robot Actions with Large Language Models

ICRA 2024poster

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 challenge. Addressing this imperative, this study contributes to the field of Large Language Models (LLMs) applied to task…

Cited by 51SourceScholar
2024

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

IROS 2024poster

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 combines scene perception, dialogue acquisition, situation understanding, and behavior generation with the common-sense…

Cited by 16SourceScholar
2019

A Framework for Automatic Initialization of Multi-Agent Production Systems Using Semantic Web Technologies

RA-L 2019

Mass customization and global competition require Cyber-Physical Systems of Systems (CPSoS) to become increasingly flexible. Modern CPSoS have to be able to create a wide and versatile variety of products, which takes centralized approaches to their limits. In addition, they have to produce these pr

Cited by 30SourceScholar