Tobias Lindeholz

Papers

Total Citations

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About

Tobias Lindeholz is a robotics researcher specializing in trajectory planning and autonomous navigation for mobile car-like robots. His work focuses on bridging the gap between theoretical motion planning algorithms and real-world robotic execution, particularly under kinematic and directional constraints. Lindeholz’s most notable contribution is the development of the RRTCAP∗ (RRT∗ Controller and Planner), introduced in his 2015 paper, which integrates the planning phase of the asymptotically optimal RRT∗ algorithm with real-time execution on physical robots using Reed-Shepp curves. This approach addresses the critical challenge of adapting optimal planners for practical deployment. His 2016 paper further advanced the field by incorporating kinematic and direction constraints into asymptotically optimal trajectory planning, moving beyond purely physical robot constraints to consider broader real-world factors. While his citation counts (3 and 2 respectively) reflect a focused, emerging body of work, Lindeholz’s contributions are foundational for researchers developing autonomous systems that must navigate complex environments with non-holonomic constraints. His research is particularly relevant for applications in warehouse logistics, autonomous driving, and service robotics, where efficient, constraint-aware motion planning is essential for safe and reliable operation.