Safety Critical Navigation

Safety-critical navigation focuses on developing robust and reliable methods for autonomous systems to navigate complex and potentially hazardous environments while guaranteeing safety. Current research emphasizes integrating perception systems (like cameras and depth sensors) with advanced planning algorithms such as RRT* and control barrier functions (CBFs) to ensure collision avoidance and adherence to safety constraints, often expressed using formal methods like Signal Temporal Logic (STL). These advancements are crucial for enabling safe operation of robots in various applications, including drones, autonomous vehicles, and space exploration, improving efficiency and reliability in challenging scenarios.