Aoi Horo

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About

Aoi Horo is a leading researcher in robotics and embodied AI, with a focus on developing general-purpose service robots (GPSRs) that can operate autonomously in unstructured human environments. Their most influential work, "Self-Recovery Prompting: Promptable General Purpose Service Robot System with Foundation Models and Self-Recovery" (2024, 9 citations), introduces a novel system architecture that integrates large foundation models with a self-recovery mechanism, enabling robots to adapt to task failures and environmental changes in real time. This system was deployed at the RoboCup@Home 2023 competition, where it demonstrated state-of-the-art performance in executing diverse, open-ended tasks—from object retrieval to social navigation—without human intervention. Horo’s key contributions lie in bridging the gap between high-level reasoning (via language and vision models) and low-level robotic control, while ensuring robustness through automated error recovery. Their work has been recognized for its practical impact, offering a scalable blueprint for next-generation service robots. With a growing citation record and a commitment to open-source development, Horo is shaping the future of human-robot interaction and autonomous service systems.