Benjamin Sliwa
Papers
6
Total Citations
134
H-Index
4
About
Benjamin Sliwa is a leading researcher at the intersection of mobile robotics, wireless communications, and intelligent transportation systems. His work focuses on enabling efficient, autonomous coordination among unmanned aerial vehicles (UAVs) and ground-based robotic networks through advanced routing protocols and machine learning. Sliwa’s most impactful contribution is the development of a cellular automata model that simulates heterogeneous traffic flows involving human-driven, automated, and communicating vehicles—a paper that has garnered 61 citations and is foundational for future mixed-traffic scenarios. He also pioneered machine learning-based uplink transmission power prediction for LTE and 5G networks, using passive downlink indicators to optimize energy consumption in resource-constrained IoT and robotic systems (39 citations). His B.A.T.Mobile framework leverages mobility control knowledge to enhance routing efficiency in mobile ad-hoc networks, while his PARRoT protocol integrates reinforcement learning with trajectory data for predictive routing in UAV swarms. Notably, Sliwa applied his expertise to address real-world challenges, proposing drone-based parcel delivery solutions during the COVID-19 pandemic. His work has been published in top venues and is shaping the next generation of autonomous, connected robotic systems.
Research Focus
Key Achievements
Top Papers
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