Papers
8
Total Citations
230
H-Index
6
About
Peter Sossalla is a researcher at the forefront of next-generation wireless communications and intelligent robotics, with a particular focus on 5G campus networks, edge computing, and mobile robot autonomy. His most influential work, "5G Campus Networks: A First Measurement Study" (2021), has accumulated an impressive 159 citations, establishing him as a key contributor to understanding how private 5G infrastructures can serve industrial and organizational environments operating under both standalone and non-standalone configurations. Beyond network characterization, Sossalla has made meaningful strides in bridging advanced connectivity with robotic systems. His research explores how 5G's low-latency capabilities enable the offloading of computationally intensive tasks — such as Simultaneous Localization and Mapping (SLAM) — from resource-constrained mobile robots to edge cloud servers, extending operational efficiency and battery life. Works like "DynNetSLAM" demonstrate his interest in dynamic, adaptive offloading strategies that respond to changing network conditions. His collaborations integrating augmented reality platforms like Microsoft HoloLens 2 with quadruped robots such as Boston Dynamics Spot further highlight his innovative, application-driven approach. Collectively, Sossalla's portfolio paints a picture of a researcher dedicated to making intelligent, connected robotics a practical reality in smart industrial environments.
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
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