Information-Driven Path Planning

The era of robotics-based environmental monitoring has given rise to many interesting areas research. A key challenge is that robotic platforms and their operations are typically constrained in ways limit energy, time, or travel distance, which turn limits the number measurements can be collected. Therefore, paths need planned maximize information gathered about an unknown environment while satisfying budget constraint, known as informative planning problem. This review discusses literature dedicated information-driven path planning, introducing algorithmic building blocks well outstanding challenges. Machine learning approaches have been introduced solve problem, improving both efficiency robustness. started with fundamental for modeling monitoring, followed by integration machine learning, emphasizing how used improve robustness robotics.