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  1. Home
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  3. Manufacturing
  4. Smart Human Robot Collaboration

Smart Human Robot Collaboration The Smart Human Robot Collaboration group is working to enable close collaboration between humans and robots.

The cooperation between man and technology will continue to increase in future industrial systems. Automation continues to advance, and at the same time the role of humans in production is changing towards monitoring and control.

On the way there, many workstations will be equipped with more automation, with which interfaces must be interacted effectively. This includes robust and fault-tolerant perception of the environment and the people acting in it, flexible and safe robot control, fast and effective situational awareness, attention control, as well as predictive modelling, recognition and prediction of human activity.

The research goal of the group is to facilitate this close cooperation between humans and robots.

The focus is on

  •     robust and reliable methods for the detection and tracking (monitoring) of people and objects in a facility
  •     force-controlled compliant robots
  •     Augmented Reality for on-site monitoring and control of complex technical systems
  •     Virtual Reality for the maintenance, control and programming of complex environments, also over a distance and as a platform for the education and training of employees.

The work with the robot systems has been carried out as part of the Tipi-Fab for some time now.

  • Smart Human Robot Collaboration
  • Manufacturing Operations Management
  • Distributed Computing and Communication
  • Sustainable Manufacturing Systems
Dr. rer. nat. Tim Claudius Stratmann
Dr. rer. nat.
Tim Claudius Stratmann

Persons

A

Pedro Fernando Arizpe Gomez

E-Mail: PedroFernando.ArizpeGomez(at)offis.de, Phone: +49 441 9722-741, Room: E66

D

Sandra Drolshagen

E-Mail: Sandra.Drolshagen(at)offis.de, Phone: +49 441 9722-713, Room: Flx-P

F

Eike Furuno

E-Mail: eike.furuno(at)offis.de, Phone: +49 441 9722-571

K

Christian Kowalski

E-Mail: christian.kowalski(at)offis.de, Phone: +49 441 9722-331

M

Pranav Megarajan

E-Mail: pranav.megarajan(at)offis.de, Phone: +49 441 9722-584

R

Harald Roesen

E-Mail: Harald.Roesen(at)offis.de, Phone: +49 441 9722-738, Room: Flx-P

S

Dr. rer. nat. Tim Claudius Stratmann

E-Mail: Tim.Stratmann(at)offis.de, Phone: +49 441 9722-431, Room: Flx-P

Projects

C

CRISP

Collaborative Robotics and Interactive Simulation Platform

Duration: 2024 - 2025

O

OptiPath

Optimised path planning for complex and individualised package flows

Duration: 2023 - 2025

P

PLATON

Distributed computing platform for radar-based 3D environment sensing in safe autonomous driving

Duration: 2022 - 2025

R

ReHOpE

Reduktion körperlicher Belastungen von Handwerksberufen durch optimierte Exoskelette

Duration: 2022 - 2025

Publications

2024

A Coarse-to-Fine Method for Data-Efficient Collaborative Place Recognition

Furuno, Eike and Hein, Andreas and Stratmann, Tim C. and Pfingsthorn, Max; 2024 9th International Conference on Control and Robotics Engineering (ICCRE); 2024

DOI BIB
Improving Work Skills in People with Disabilities in a Long-Term, In-Field Study on Robotic Tutors

Drolshagen, Sandra and Pfingsthorn, Max and Hein, Andreas; International Journal of Social Robotics; October / 2024

DOI BIB
Keep the Human in the Loop: Arguments for Human Assistance in the Synthesis of Simulation Data for Robot Training

Liebers, Carina and Megarajan, Pranav and Auda, Jonas and Stratmann, Tim C. and Pfingsthorn, Max and Gruenefeld, Uwe and Schneegass, Stefan; Multimodal Technologies and Interaction; 2024

DOI BIB
Look Over Here! Comparing Interaction Methods for User-Assisted Remote Scene Reconstruction

Liebers, Carina and Pfützenreuter, Niklas and Prochazka, Marvin and Megarajan, Pranav and Furuno, Eike and Löber, Jan and Stratmann, Tim C. and Auda, Jonas and Degraen, Donald and Gruenefeld, Uwe and Schneegass, Stefan; Extended Abstracts of the 2024 CHI Conference on Human Factors in Computing Systems; 2024

DOI BIB
Towards automated self-administered motor status assessment: Validation of a depth camera system for gait feature analysis

Pedro Arizpe-Gómez and Kirsten Harms and Kathrin Janitzky and Karsten Witt and Andreas Hein; Biomedical Signal Processing and Control; 2024

URL DOI BIB

2023

Context-Aware Robotic Assistive System: Robotic Pointing Gesture-Based Assistance for People with Disabilities in Sheltered Workshops

Drolshagen, Sandra and Pfingsthorn, Max and Hein, Andreas; Robotics; 2023

DOI BIB

2021

Acceptance of Industrial Collaborative Robots by People With Disabilities in Sheltered Workshops

Sandra Drolshagen, Max Pfingsthorn, Pascal Gliesche, Andreas Hein; Frontiers in Robotic and AI; 02 / 2021

URL DOI BIB
From Multi-Modal Property Dataset to Robot-Centric Conceptual Knowledge About Household Objects

Thosar, Madhura and Mueller, Christian A. and Jäger, Georg and Schleiss, Johannes and Pulugu, Narender and Mallikarjun Chennaboina, Ravi and Rao Jeevangekar, Sai Vivek and Birk, Andreas and Pfingsthorn, Max and Zug, Sebastian; Frontiers in Robotics and AI; 04 / 2021

URL DOI BIB
Less is more! Support of Parallel and Time-critical Assembly Tasks with Augmented Reality

Illing, Jannike and Klinke, Philipp and Pfingsthorn, Max and Heuten, Wilko; Mensch und Computer 2021; September / 2021

DOI BIB

2020

HiveFive: Immersion Preserving Attention Guidance in Virtual Reality

Lange, Daniel and Stratmann, Tim Claudius and Gruenefeld, Uwe and Boll, Susanne; Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems; April / 2020

DOI BIB
EN: Alle Publikationen aus dem Bereich Smart Human Robot Collaboration
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