Philip Keller

FZI Research Center for Information Technology

Papers

Total Citations

H-Index

About

Philip Keller is a leading researcher in real-time robotic control and distributed systems, with a focus on advancing the Robot Operating System (ROS2) for industrial and hazardous environments. His most cited work, "Performance Evaluation of Real-Time ROS2 Robotic Control in a Time-Synchronized Distributed Network" (2021, 31 citations), addresses the critical limitation of ROS1—its lack of real-time communication—by demonstrating how ROS2 can enable deterministic, synchronized control across distributed networks. This contribution is pivotal for modern robotics, where monolithic black-box controllers hinder flexibility and research. Keller’s follow-up study (2020, 14 citations) further explores distributed setups for real-time robotic control on Linux, emphasizing component accessibility and exchangeability. Beyond real-time systems, his work on "Microsaccades for Neuromorphic Stereo Vision" (2018, 13 citations) introduces bio-inspired vision techniques for efficient depth perception, while "Grasping and retrieving unknown hazardous objects with a mobile manipulator" (2022, 9 citations) showcases a shared-operation approach for safely handling dangerous materials. With a cumulative impact of over 67 citations, Keller’s research bridges the gap between theoretical advances and practical deployment, making him a key figure in enabling next-generation, real-time, and safe robotic systems for research and industry.