AI significantly advances robot path planning by enabling more intelligent and adaptive navigation solutions compared to traditional algorithmic approaches. It leverages techniques like machine learning and reinforcement learning to process complex sensor data and learn optimal routes from experience or simulated environments. This allows robots to dynamically adjust their paths in real-time, effectively avoiding obstacles and adapting to unpredictable changes in their surroundings. AI models can predict potential collisions and optimize for multiple criteria, such as shortest distance, energy consumption, or smooth trajectories. Furthermore, deep learning facilitates perception-driven planning, allowing robots to understand their environment at a higher level, leading to safer and more efficient movement in unstructured or unknown terrains. More details: https://finist-company.ru/bitrix/rk.php?goto=https://infoguide.com.ua/