Robot design has traditionally been costly and labor-intensive. Despite advancements in automated processes, it remains challenging to navigate a vast design space while producing physically manufacturable robots. We introduce Text2Robot, a framework that converts user text specifications and performance preferences into physical quadrupedal robots. Within minutes, Text2Robot can use text-to-3D models to provide strong initializations of diverse morphologies. Within a day, our geometric processing algorithms and body-control co-optimization produce a walking robot by explicitly considering real-world electronics and manufacturability. Text2Robot enables rapid prototyping and opens new opportunities for robot design with generative models.

翻译：机器人设计传统上成本高昂且劳动密集。尽管自动化流程已取得进展，但在探索广阔设计空间的同时生成物理上可制造的机器人仍然具有挑战性。我们提出Text2Robot框架，该框架能够将用户文本规范和性能偏好转化为物理四足机器人。在数分钟内，Text2Robot可利用文本到3D模型技术为多样化形态提供优质初始化方案。在一天内，我们的几何处理算法与躯体控制协同优化方法通过显式考虑真实世界电子元件与可制造性，生成可行走的机器人。Text2Robot实现了快速原型设计，并为基于生成模型的机器人设计开辟了新途径。