Navigation Strategy

Navigation strategy research focuses on developing algorithms and models that enable autonomous agents, from robots to virtual characters, to efficiently and safely navigate complex environments. Current research emphasizes incorporating social awareness, leveraging deep reinforcement learning (often with large language models or graph neural networks), and utilizing advanced perception techniques (like vision-language models) to predict and react to dynamic obstacles, including humans. These advancements have significant implications for robotics, autonomous vehicles, and human-computer interaction, improving safety and efficiency in shared spaces and offering new insights into human navigation strategies themselves.