Researchers have developed A-RAM, an agent-specialist-tool framework designed to convert user intent into executable plans for robotic additive manufacturing. This system integrates LLM-based interpretation of manufacturing objectives with domain-specific tools to evaluate slicing, placement, inverse kinematics, and extrusion parameters. Evaluations on a six-axis robotic arm demonstrated significant improvements, including up to 53.5% lower maximum Joint-6 jerk and up to 40.1% shorter motion-plan completion times for specific infill screening scenarios. AI
影响 This framework could improve efficiency and precision in robotic manufacturing processes by integrating AI for planning and optimization.
排序理由 This is a research paper detailing a new framework for robotic additive manufacturing. [lever_c_demoted from research: ic=1 ai=1.0]
- A-RAM
- arXiv
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- DagsHub
- Gotit.pub
- Hugging Face
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- LLM
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- scite Smart Citations
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