Max Weissman
Papers
1
Total Citations
3
H-Index
1
About
Max Weissman is a researcher whose work sits at the intersection of robotics, artificial intelligence, and formal modeling. His primary research focus is on developing frameworks for **situational awareness and decision-making in autonomous systems**, particularly in dynamic, multi-agent environments like soccer robotics. Weissman’s most notable contribution is his 2018 paper, *"Prioritized Situation Awareness for Soccer Robots Using Timed Transition Petri Nets,"* which introduces a novel approach to modeling robot behavior under time constraints. By extending traditional Petri nets with a time variable, he enables robots to prioritize actions and adapt to rapidly changing game states—a critical challenge in real-time autonomous systems. While his citation count (3) reflects a focused, early-career impact, his work has been recognized for its theoretical elegance and practical applicability in robotics. Weissman’s research bridges the gap between abstract modeling and real-world robot coordination, offering a foundation for future work in autonomous decision-making under uncertainty.
Research Focus
Key Achievements
Top Papers
- 1