Papers
8
Total Citations
230
H-Index
6
About
Justus Rischke is a telecommunications and robotics researcher whose work sits at the intersection of next-generation wireless networks and autonomous mobile systems. His research focuses primarily on 5G campus networks, edge computing, and the application of advanced connectivity to mobile robotics — particularly in smart factory and industrial automation contexts. Rischke's most influential contribution, "5G Campus Networks: A First Measurement Study" (2021), has garnered 159 citations and stands as a foundational empirical reference for private 5G deployments, systematically characterizing the performance of both non-stand-alone and standalone 5G architectures. Building on this foundation, he has investigated how 5G connectivity enables computationally intensive robotics tasks — such as Simultaneous Localization and Mapping (SLAM) — to be offloaded to edge cloud infrastructure, reducing onboard energy demands and extending robot operational lifetimes. His development of DynNetSLAM introduced dynamic, adaptive offloading strategies that respond to real-time network conditions, advancing beyond static approaches in the field. More recently, Rischke has explored the convergence of robotics and augmented reality, demonstrating real-time mapping with platforms like Boston Dynamics Spot and Microsoft HoloLens 2. Across roughly 230 cumulative citations, his work consistently bridges rigorous network measurement with practical robotics applications, making him a notable emerging voice in 5G-enabled intelligent systems research.
Research Focus
Key Achievements
Top Papers
- 15G Campus Networks: A First Measurement Study159 citations · 2021
- 2Private 5G Solutions for Mobile Industrial Robots: A Feasibility Study15 citations · 2022
- 3Evaluating the Advantages of Remote SLAM on an Edge Cloud14 citations · 2021
- 4Offloading Robot Control with 5G13 citations · 2022
- 5DynNetSLAM: Dynamic Visual SLAM Network Offloading12 citations · 2022
- 6
- 7
- 8