CANINE decomposes interactive navigation into sub-skills, prioritizes training via knowledge tracing, and uses foundation models for adaptive error correction, yielding better learning efficiency and navigation performance than generic instructions in user studies.
Between reality and delusion: Challenges of applying large language models to companion robots for open-domain dialogues with older adults.Autonomous Robots, 49(1):9, 2025
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CANINE: Coaching Visually Impaired Users for Interactive Navigation with a Robot Guide Dog
CANINE decomposes interactive navigation into sub-skills, prioritizes training via knowledge tracing, and uses foundation models for adaptive error correction, yielding better learning efficiency and navigation performance than generic instructions in user studies.