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About

Georg Schildbach is a leading researcher in mobile robotics and autonomous navigation, with a focus on safe and optimal path planning in complex environments. His major contributions lie in the development of algorithms that leverage polytopic maps and B-spline curves to guarantee collision-free navigation for mobile robots. Notably, his 2021 work on a B-spline path planner, cited 25 times, introduced a method to parameterize reference paths within non-convex workspaces by exploiting the local convexity of B-splines, ensuring the entire path remains within safe zones. Schildbach further advanced this field with the "Navigation with Polytopes" toolbox (2023, 11 citations), which streamlines the creation of polytopic maps from grid maps and enables optimal corridor search and safe path planning. His work on tightening polytopic constraints for Model Predictive Control (MPC) designs (2021, 4 citations) enhances robot navigation by encouraging distance from obstacle boundaries. Additionally, his ROS2SWARM package (2022, 17 citations) addresses the challenge of developing reusable software for swarm robotics, simplifying multi-robot communication and prototyping. With a total of 57 citations across his most-cited works, Schildbach’s research is pivotal for advancing safe, efficient, and scalable autonomous navigation systems.