Maximilian Ho–Kyoung Schreff
Papers
2
Total Citations
13
H-Index
2
About
Maximilian Ho–Kyoung Schreff is a leading researcher in social navigation and human-robot interaction, with a focus on developing scalable, realistic simulation platforms. His work centers on creating benchmarking tools that enable robots to operate safely and effectively in collaborative, highly dynamic environments shared with humans. Schreff’s major contributions include the Arena series of simulation frameworks—Arena 3.0 and Arena 4.0—which provide comprehensive software stacks for developing, simulating, and benchmarking socially aware navigation algorithms. Arena 4.0, his most recent work, introduces a groundbreaking generative-model-based approach for automatically creating diverse worlds and scenarios, significantly reducing the manual effort required for environment design. This innovation allows researchers to test robot behavior across a vast range of human-centric settings, accelerating progress in the field. With over 13 citations across his most-cited papers, Schreff’s work is gaining recognition for its practical impact on advancing human-robot coexistence. His platforms are widely used by robotics labs to evaluate navigation systems in realistic, crowded spaces, making him a key contributor to the next generation of autonomous social robots.
Research Focus
Key Achievements
Top Papers
- 1
- 2