📄 论文总结
引导视觉-语言-动作模型未来发展的十大开放挑战 / 10 Open Challenges Steering the Future of Vision-Language-Action Models
1️⃣ 一句话总结
这篇论文指出了视觉-语言-动作模型在迈向广泛应用过程中需要解决的十大关键挑战，包括多模态理解、推理能力、数据获取和安全性等，并探讨了推动其发展的新兴技术趋势。
🤖 系统
Abstract - 10 Open Challenges Steering the Future of Vision-Language-Action Models
Due to their ability of follow natural language instructions, vision-language-action (VLA) models are increasingly prevalent in the embodied AI arena, following the widespread success of their precursors -- LLMs and VLMs. In this paper, we discuss 10 principal milestones in the ongoing development of VLA models -- multimodality, reasoning, data, evaluation, cross-robot action generalization, efficiency, whole-body coordination, safety, agents, and coordination with humans. Furthermore, we discuss the emerging trends of using spatial understanding, modeling world dynamics, post training, and data synthesis -- all aiming to reach these milestones. Through these discussions, we hope to bring attention to the research avenues that may accelerate the development of VLA models into wider acceptability.