1 Introduction  
2 Current Studies of Intelligent Escape  
2.1 Planning-based Methodologies  
2.2 Partitioning-based Methodologies  
2.3 Learning-based Methodologies  
2.4 Bio-Inspired Methodologies  
2.5 Comparison Analysis of the Current Research  
3 Applications of Intelligent Escape  
4 Challenges and Future Trends  
4.1 Real-Time Collision-Free Escape in Complex Scenarios  
4.2 Robust Escape Considering Uncertainties and Disturbances  
4.3 Cooperative Intelligence for Collaborative Escape Solutions  
4.4 Innovating Escape Mechanisms with Bio-Inspired Approaches  
5 Conclusion