{"slug": "in-context-robot-learning-with-vlm-agents", "title": "In-Context Robot Learning with VLM Agents", "summary": "Researchers are pursuing in-context robot learning with vision-language model (VLM) agents to let robots adapt to unfamiliar environments, according to a report on the work. The approach aims to address the limitation that no finite collection of demonstrations can cover every task and situation a robot will encounter, making learning from context at deployment essential for generalization.", "body_md": "Enabling robots to adapt to unfamiliar environments as readily as humans remains a moonshot goal of embodied AI. No finite collection of demonstrations can cover every task and situation a robot will encounter, making the ability to learn from context at deployment essential for generalization. Such", "url": "https://wpnews.pro/news/in-context-robot-learning-with-vlm-agents", "canonical_source": "https://aiflash.com/news/121311/", "published_at": "2026-09-17 11:30:07+00:00", "updated_at": "2026-09-17 11:54:23.517667+00:00", "lang": "en", "topics": ["robotics", "artificial-intelligence", "machine-learning", "ai-agents", "computer-vision"], "entities": [], "alternates": {"html": "https://wpnews.pro/news/in-context-robot-learning-with-vlm-agents", "markdown": "https://wpnews.pro/news/in-context-robot-learning-with-vlm-agents.md", "text": "https://wpnews.pro/news/in-context-robot-learning-with-vlm-agents.txt", "jsonld": "https://wpnews.pro/news/in-context-robot-learning-with-vlm-agents.jsonld"}}