Dialog Based Localization

Dialog-based localization aims to pinpoint a robot or agent's location within an environment using information gleaned from a conversation between the agent and a remote operator. Recent research emphasizes iterative localization methods, refining location estimates with each turn in the dialogue, often employing transformer-based architectures and graph-based scene representations for improved accuracy. This field is advancing the capabilities of embodied AI systems, bridging the gap between simulated and real-world applications in areas such as collaborative robotics and human-robot interaction.