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JARVIS: From Visual Manuals to Autonomous Robotic Assembly

arxiv-cs.RO2026-10-20Source metadata onlyOpen source ↗
INVESTOR TAKEAWAY

Visual manuals communicate procedural knowledge through stepwise diagrams, but translating these instructions into reliable long-horizon robotic execution remains challenging. We introduce JARVIS, a method-agnostic benchmark for autonomous visual-manual-guided execution without additional language instructions.

ORIGINAL PAPER

JARVIS: From Visual Manuals to Autonomous Robotic Assembly

WHAT WE KNOW

JARVIS comprises 236,679 LEGO assembly tasks across 8,987 scenes, with a carefully curated JARVIS-v1 suite of 50 tasks for interactive robotic evaluation. Tasks span varying initial structural complexities and assembly horizons, requiring agents to interpret manuals, ground actions in an evolving workspace, and execute the intended procedure. A structure-aware evaluation protocol captures geometric accuracy, structural relations, construction order, partial progress, and completion.

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