Papers
2
Total Citations
15
H-Index
2
About
Martin Rektoris is a pioneering researcher in the emerging field of **chronorobotics**, which investigates how robots can adapt to and learn from the perpetual changes in natural and human-populated environments. His work bridges robotics, human-aware navigation, and long-term spatial modeling. Rektoris's most cited paper, "Toward Benchmarking of Long-Term Spatio-Temporal Maps of Pedestrian Flows for Human-Aware Navigation" (2022, 11 citations), addresses a critical bottleneck in mobile robotics: the slow adoption of autonomous robots in human spaces due to acceptance issues. By developing methods to understand human behavior and dynamics, he provides frameworks for robots to navigate more naturally and safely alongside people. His foundational paper "CHRONOROBOTICS" (2020, 4 citations) formally defines this new subfield, introducing techniques that embed temporal dynamics into static spatial environment models. This work has significant implications for service robots, autonomous vehicles, and any system operating in changing real-world settings. Rektoris's contributions are particularly notable for tackling the long-term, real-world deployment challenges that many robotic systems face, making him a key voice in creating robots that are not just intelligent, but truly context-aware and socially acceptable.
Research Focus
Key Achievements
Top Papers
- 1
- 2CHRONOROBOTICS4 citations · 2020