Lars Schilling

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About

Lars Schilling is a robotics researcher specializing in motion planning and multi-robot systems, with a focus on safe navigation and swarm intelligence. His major contributions include developing a B-spline path planner that guarantees collision-free navigation for mobile robots in complex, non-convex environments—a method that leverages the local convexity property of B-splines to ensure path safety within connected convex polytopes. This work, published in 2021, has already garnered 25 citations, highlighting its impact on practical robot navigation. Schilling also addresses the challenge of reusable software for swarm robotics with his ROS2SWARM package (2022, 17 citations), which simplifies prototyping and experimentation in multi-robot settings by enabling robust robot-robot communication and controller development. His research bridges theoretical path planning with scalable swarm behaviors, offering tools that are both rigorous and accessible for the robotics community. Schilling’s work is notable for its practical applicability, providing foundational algorithms and open-source software that advance the state of the art in autonomous navigation and collective robotics.