Navigation Stack

Navigation stacks are software systems enabling robots to autonomously navigate their environments, aiming to achieve efficient and robust path planning and execution. Current research focuses on improving robustness in challenging outdoor settings (e.g., using real-time costmap updates and multi-sensor fusion), exploring alternative map representations beyond traditional occupancy grids (e.g., behavioral maps and 3D volumetric representations), and leveraging machine learning techniques (e.g., deep reinforcement learning) for improved path planning and obstacle avoidance. These advancements are crucial for expanding the capabilities of robots in diverse applications, from agriculture and logistics to assistive robotics and social interaction.