Ulrich Schwesinger
Papers
6
Total Citations
265
H-Index
6
About
Ulrich Schwesinger is a robotics researcher whose work centers on autonomous navigation, human-robot interaction, and motion planning. His most influential contributions lie in developing socially-compliant, data-driven approaches for robots operating in human-shared spaces. His landmark paper, "Predicting Actions to Act Predictably," introduces a cooperative partial motion planning framework using maximum entropy models, enabling robots to navigate among humans in a socially aware manner—a work that has garnered over 140 combined citations. Schwesinger has also advanced structural inspection with his "rapidly exploring random tree of trees" (RRTOT) algorithm, an incremental sampling-based planner cited over 50 times. In long-range autonomous navigation, he developed lighting-invariant route following using iterative closest point matching, a method that allows robots to reliably follow taught paths without global localization, accumulating nearly 50 citations. Additionally, his work on steering wheel synchronization for pseudo-omnidirectional robots addresses critical mechanical constraints for agile mobility. Schwesinger’s research bridges theoretical planning algorithms with practical, real-world deployment, making him a key figure in the evolution of autonomous mobile robots that can safely and efficiently coexist with humans.
Research Focus
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Top Papers
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