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An operational taxonomy, a coverage comparison against the eight closest surveys, an evaluation loop that isolates the advantage of prediction, and an actionable protocol of four advantage-aware metrics anchored on named testbeds are contributed.
Robot learning is splitting into two bets: policies that bake competence into frozen weights (vision-language-action, or VLA, models), and agents that write and refine their own executable skills as code. This survey organises the field around that axis of weights versus skills. Its central analytical contribution is a...
This work introduces IndicMedQA, a novel multimodal AI framework that integrates Indic large language models (LLMs) and visual encoders to analyze patient inquiries using both textual and visual cues, and creates a multilingual multimodal medical corpus spanning seven major Indian languages, translated using a semi-aut...
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