Coverage Path Planning

Coverage path planning (CPP) focuses on efficiently determining the optimal trajectory for a robot or autonomous agent to cover a given area, minimizing travel time or energy consumption while ensuring complete coverage. Current research emphasizes developing algorithms that handle complex environments with obstacles, incorporate constraints like limited sensor range or energy budgets, and optimize for various objectives such as minimizing turns, maximizing data collection, or accounting for measurement uncertainty. These advancements are crucial for diverse applications, including agricultural automation, search and rescue operations, and industrial inspection, improving efficiency and enabling autonomous operation in challenging scenarios.