Marius Boshoff

About

Marius Boshoff is a researcher at the forefront of industrial automation, robotics, and smart manufacturing, whose work addresses the growing demand for flexible, autonomous, and intelligent production systems. His research spans several interconnected domains, including unmanned aerial vehicles (UAVs), mobile robot manipulators (MRMs), digital twins, human-robot collaboration, and next-generation wireless connectivity for industrial applications. Boshoff's most influential contribution — a systematic literature review on the synergistic deployment of UAVs and MRMs in production systems — has garnered 20 citations, establishing him as a key voice in exploring cooperative robotic systems for logistics and assembly. His work on digital twin implementation in assembly technology, with 17 citations, highlights his commitment to bridging the gap between virtual engineering and real-world manufacturing challenges. Notably, he has also pushed boundaries in human-robot collaboration, investigating brain-machine interfaces and activity recognition to create safer, more intuitive collaborative environments. His explorations of 5G connectivity for mobile robotics and the emerging application of large language models in industrial robot programming reflect a researcher unafraid to engage with cutting-edge technologies. Boshoff's body of work positions him as a dynamic contributor shaping the future of Industry 4.0 and beyond.

Research Focus

Key Achievements

Top Papers

1. 1
   Systematic literature review of applications and usage potentials for the combination of unmanned aerial vehicles and mobile robot manipulators in production systems

   20 citations · 2022
2. 2
   Implementation of Digital Twin and Real Production System to Address Actual and Future Challenges in Assembly Technology

   17 citations · 2023
3. 3
   Performance measurement of unmanned aerial vehicles to suit industrial applications

   5 citations · 2024
4. 4
   Human in the collaborative loop: a strategy for integrating human activity recognition and non-invasive brain-machine interfaces to control collaborative robots

   5 citations · 2024
5. 5
   Evaluation of 5G Edge and Cloud Computing for Data Processing in Visual Referencing of Mobile Robot Manipulators

   4 citations · 2023
6. 6
   Investigating the 5G Handover in Autonomous Mobile Robotic Applications

   4 citations · 2023
7. 7
   Exploring Large Language Models in Industrial Robotics: Interacting with Simulation Systems and Validating AI-Generated Robot Code

   1 citations · 2024

Key Collaborators

Contact & Links