David Kuß

Dipl.-Inf. (FH) David Kuß

Mr. David Kuß is a highly qualified and dedicated research assistant at the Chair TUD ComNets of TU Dresden. Since April 2020 he is employed within the Cluster of Excellence Centre for Tactile Internet with Human-in-the-Loop (CeTI). His research interests are in the robotics application areas of medicine, Internet of Skills, augmented perception, co-adaptation, sensors and actuators, communication, and tactile computing.

David has a solid academic background. He graduated with a grade of 1.9 in general computer science from the University of Applied Sciences in Dortmund, Germany. Afterwards, he started postgraduate studies in “Technomathematics” at the Technical University of Dresden.
During his studies, he financed himself through various part-time jobs, including software development at W3Logistics AG and Quantum.Logistics GmbH in Dortmund.

David has completed a variety of projects and continues to be active in current projects, including the multi-robot project hydrabyte.
During his time at the TUD ComNets chair, he has co-developed an impressive set of demonstrators, including the Hello Robot Demo, the Finger Food Demo, the Robot Hand Demo, the CeTIBar Environment (current), and the Cocktail Mix Demo. These demonstrators illustrate his technical expertise and ability to implement complex use cases in robotics and tactile interaction.

David was also already a research assistant at the TUD ComNets chair from August 2018 to March 2020. During this time, he was instrumental in the development of the Digital Twin Demo and the CoBot Demo, a colorectal robotic assistant for laparoscopic surgery.
Before joining TU Dresden, he was employed by the company AIS GmbH in Dresden from 2007 to 2018. During this time, he was involved in multi-month project assignments around the world, including France, Switzerland, Greece, China, Taiwan, and the USA. Thereby, he gained experience in various areas such as the development and integration of host interfaces based on SECS/GEM and GEM300, the integration of Big Data solutions and the management of production line reports.


Phone: +49 351 463-32155
Email: david.kuss@tu-dresden.de
Room: BAR S19

Research Interests

  • Colloborative Robotics
  • Tactile Internet
  • Medical Assistance
  • Computer Vision
  • CeTIBar



Grohmann, Andreas I.; Peters, Frank; Kuß, David; Seidel, Mauri; Fitzek, Frank H. P.

HYDRAted - High Yield Dense Robotic Arms technically evolved demonstrator Proceedings Article

In: 2024 IEEE 21st Consumer Communications & Networking Conference (CCNC) (CCNC 2024), pp. 2, Las Vegas, USA, 2024.

Abstract | BibTeX


Grohmann, Andreas I.; Peters, Frank; Kuß, David; Sossalla, Peter; Fitzek, Frank H. P.

HYDRA - High Yield Dense Robotic Arms Proceedings Article

In: 2023 3rd International Conference on Electrical, Computer, Communications and Mechatronics Engineering (ICECCME), pp. 1-6, 2023.

Links | BibTeX


Tsokalo, Ievgenii A.; Kuß, David; Kharabet, Ievgen; Fitzek, Frank H. P.; Reisslein, Martin

Remote Robot Control with Human-in-the-Loop Over Long Distances using Digital Twins Proceedings Article

In: 2019 IEEE Global Communications Conference: Selected Areas in Communications: Tactile Internet (Globecom2019 SAC TI), Waikoloa, USA, 2019.


Wu, Huanzhuo; Tsokalo, Ievgenii A.; Kuß, David; Salah, Hani; Pingel, Lukas; Fitzek, Frank H. P.

Demonstration of Network Slicing for Flexible Conditional Monitoring in Industrial IoT Networks Proceedings Article

In: 2019 16th IEEE Annual Consumer Communications & Networking Conference (CCNC) (CCNC 2019), Las Vegas, USA, 2019.



HYDRABYTE RoboSphere – Multirobot System 
HYDRABYTE – the key to design revolutionary assets. We enable the powerful combination of a wide variety of robot types. Our goal is to get the freedom to seamlessly combine robots of different models and functions to create a powerful multi-robot system.With a unique pool of know-how, algorithms, and software tools resulting from several years of leading research and development work, we are on the right way.



CoBot – Colorectal robotic assistant for laparoscopic surgery
The aim of the project CoBot is to improve robotic-assisted rectal resection by developing novel assistance functions based on recent advances in surgical data science, robotic control and distributed network computing.

TacNet 4.0
The overriding goal of TACNET 4.0 is the development of a uniform industrial 5G communication system, which integrates 5G networks and industrial communication networks.

Fast robotics aims to supplement or replace existing wired communication systems for robots with mobile radio technology.