Frank Kuenemund

Dortmund University of Applied Sciences and Arts

Papers

Total Citations

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About

Frank Kuenemund is a robotics researcher whose work focuses on the critical intersection of motion planning and localization for autonomous mobile robots. His primary research areas include trajectory generation for omnidirectional platforms and sensor fusion for robust indoor positioning. Kuenemund’s major contribution is the development of a fast and accurate method for generating cubic spline trajectories specifically designed for non-circular omnidirectional robots and automated guided vehicles (AGVs). This approach, detailed in his most-cited paper (8 citations), is notable for its ability to integrate seamlessly with existing path planners, offering a practical solution for industrial applications requiring precise, smooth motion. Complementing this work, his research on mobile robot localization (6 citations) introduces a novel method that fuses WLAN signal strength data with odometry and gyroscope readings. This technique enables reliable global position estimation in indoor environments, a common challenge for autonomous systems. Through these contributions, Kuenemund has advanced the practicality of deploying mobile robots in complex industrial settings, bridging the gap between theoretical path planning and real-world sensor uncertainty.