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Implicit mobile human-robot communication for spatial action coordination with action-specific semantic environment modelling

With the increasing use of robots in industrial and everyday contexts, the need for systems that can interact flexibly and cooperatively with humans is growing. Collaborative robots (cobots) in particular, which share a common workspace with humans and can react to complex, dynamic environments, are coming into focus. A central challenge here is the context-related perception of the environment and the appropriate interpretation of human behavior.

Founding

The project SEMIAC - Implicit mobile human-robot communication for spatial action coordination with action-specific semantic environment modelling (Implizite mobile Mensch-Roboter-Kommunikation für die räumliche Handlungskoordination mit aktionsspezifischer semantischer Umgebungsmodellierung) is funded by the German Research Foundation (DFG) under grant No. 502483052 and is planned with a project duration of 3 years (2023 to 2026).

Publications

Multi-Head Attention-Based Framework with Residual Network for Human Action Recognition

May 06, 2025

We propose a novel HAR framework integrating residual networks, Bi-LSTM, and multi-head attention with a motion-based frame selection strategy. It...

Journal HAR Deep Learning

IM HERE – Interaction Model for Human Effort based Robot Engagement

April 29, 2025

We present our novel engagement modeling framework IMHERE, designed to improve human-robot interaction by capturing relational dynamics using a formal...

ROBOVIS 2025 Conference

Automating 3D Dataset Generation with Neural Radiance Fields

April 29, 2025

We present a fully automated pipeline that leverages Radiance Field–based universal 3D representations to rapidly generate high-quality models of arbitrary...

ROBOVIS 2025 Conference

Toward Truly Intelligent Autonomous Systems A Taxonomy of LLM Integration for Everyday Automation

April 28, 2025

With the rapid development of large language models (LLMs), their integration into autonomous systems has become essential. This integration significantly...

ROBOVIS 2025 Conference