Francesco Grothe
Papers
2
Total Citations
31
H-Index
2
About
Francesco Grothe is a roboticist and motion planning researcher whose work tackles the fundamental challenge of navigating dynamic, unpredictable environments. His primary research areas include motion planning, autonomous navigation, and space-time path planning, with a particular focus on handling dynamic obstacles and velocity constraints. Grothe’s most significant contribution is the development of ST-RRT* (Space-Time RRT*), a probabilistically complete, bidirectional motion planning algorithm that is asymptotically optimal with respect to path cost. This algorithm uniquely integrates the temporal dimension into the planning space, allowing robots to plan trajectories when arrival times are unknown and obstacles are moving—a critical capability for autonomous driving, drone swarms, and warehouse robotics. His 2022 paper on ST-RRT* has garnered 29 citations, establishing it as a foundational reference in the field. Grothe’s work bridges the gap between theoretical optimality guarantees and practical real-time performance, offering a robust solution for robots operating in crowded, time-sensitive environments. His research continues to influence the next generation of autonomous systems, making him a notable figure in modern motion planning.
Research Focus
Key Achievements
Top Papers
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