BMBF collaborative research project AutoKoWaT
Innovative Photonics for Autonomous Collaborative Systems in Dynamic Good Transportation Processes
AutoKoWaT
AutoKoWaT (Innovative Photonics for Autonomous Collaborative Systems in Dynamic Good Transportation Processes) focuses on the development of photonic components, applying sensors and artificial intelligence to self-driving transport systems to solve a wide range of logistics tasks in complex, dynamic situations, either alone or in a swarm. The project is funded by the Federal Ministry of Education and Research of Germany (BMBF) (grant no.~13N16336) and is planned with a project duration of 3 years (2022 - 2025).

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...

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...

Eye Contact Based Engagement Prediction for Efficient Human-Robot Interaction
April 28, 2025
We introduce a new approach to predict human engagement in human-robot interactions (HRI), focusing on eye contact and distance information....

Fine-grained gaze estimation based on the combination of regression and classification losses
September 03, 2024
We present our recent work on gaze estimation. Our approach is a novel two-branch CNN architecture with a multi-loss approach...

Towards efficient and robust face recognition through attention-integrated multi-level CNN
May 26, 2024
RobFaceNet is a robust and efficient CNN designed for face recognition, achieving a balance between high accuracy and computational efficiency...

Exploring the State of the Art in Visual SLAM for Robotics
April 11, 2024
Recent advancements in Visual Simultaneous Localization and Mapping (V-SLAM) technologies have significantly enhanced the capabilities of robotic systems. Our latest...

(TIP24) Approaching unrestricted and full rotation head pose estimation!
March 21, 2024
We are delighted to share our newest publication in the IEEE Transaction on Image Processing. In this paper, we tackle...

AutoKoWaT Milestone-Meeting at ZBS in Ilmenau
February 07, 2024
The AutoKoWaT project team met at the Zentrum für Bild und Signalverarbeitung (ZBS) in Ilmenau for a milestone meeting reinforcing...

(WACV24) Our Research Work Reaches Hawaii!
January 06, 2024
Our recent research on eye contact detection for human-robot interaction was accepted by WACV24 and presented at the conference in...