SeqAfford offers a breakthrough approach to 3D affordance reasoning, enabling AI systems to understand complex, sequential interactions with objects versus traditional single-action recognition.

• Introduces a novel sequential affordance paradigm for long-horizon tasks
• Leverages multimodal large language models to interpret complex user intentions
• Achieves more natural human-AI interaction by understanding multi-step procedures
• Significantly advances 3D object manipulation capabilities for engineering applications

This technology could transform robotics and automation by enabling more intuitive machine understanding of complex physical tasks—moving beyond simple actions to comprehending procedural sequences in manufacturing and other engineering domains.

SeqAfford: Sequential 3D Affordance Reasoning via Multimodal Large Language Model