{"slug": "packlab-a-comprehensive-framework-for-developing-training-and-evaluating-mllms", "title": "PackLab: A Comprehensive Framework for Developing, Training, and Evaluating MLLMs in Robotic Bin Packing", "summary": "Researchers introduced PackLab, a framework for developing, training, and evaluating multimodal large language models (MLLMs) in robotic bin packing, addressing the long-horizon sequential decision-making problem where each object placement affects the space available for subsequent packing. The framework targets the limitations of existing methods, which rely primarily on hand-crafted geometric heuristics that optimize predefined objectives or reinforcement learning policies. PackLab aims to support MLLM-based approaches to the task.", "body_md": "Robotic bin packing requires long-horizon sequential decision-making, as each object placement affects the available space for subsequent packing. Existing methods primarily rely on hand-crafted geometric heuristics that optimize predefined objectives or reinforcement learning policies learned throu", "url": "https://wpnews.pro/news/packlab-a-comprehensive-framework-for-developing-training-and-evaluating-mllms", "canonical_source": "https://aiflash.com/news/125376/", "published_at": "2026-09-24 05:30:04+00:00", "updated_at": "2026-09-24 05:59:23.855332+00:00", "lang": "en", "topics": ["robotics", "large-language-models", "machine-learning", "ai-research"], "entities": ["PackLab", "MLLMs"], "also_reported_by": [], "alternates": {"html": "https://wpnews.pro/news/packlab-a-comprehensive-framework-for-developing-training-and-evaluating-mllms", "markdown": "https://wpnews.pro/news/packlab-a-comprehensive-framework-for-developing-training-and-evaluating-mllms.md", "text": "https://wpnews.pro/news/packlab-a-comprehensive-framework-for-developing-training-and-evaluating-mllms.txt", "jsonld": "https://wpnews.pro/news/packlab-a-comprehensive-framework-for-developing-training-and-evaluating-mllms.jsonld"}}