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PhysClaw* Track Guide PhysClaw* 赛道指南

Special Track: Collect creative ways to use OpenClaw on embodied agents. 特别赛道:征集将 OpenClaw 用在具身智能体上的任何创意方式。

Overview 总体介绍

This is a special track. We are collecting any creative ways to use OpenClaw on embodied agents. You can submit demo videos, code projects, etc. Finally, we will rank submissions based on your creativity.

该 track 为 special track,我们征集大家任何创意的将 OpenClaw 用在具身上的方式。你可以提交 demo 视频,提交代码项目等等,最终我们会根据你的创意排出名次。

How to Participate 参赛方式

Submission Instructions 提交指南

Please submit your work via OpenReview. The paper has no length limit. For demo videos or other materials, please compress them into a zip file and upload it as Supplementary Material.

请通过 OpenReview 提交您的作品。论文不限字数。对于演示视频或其他材料,请压缩成 zip 文件并作为 Supplementary Material 上传。

Evaluation Criteria 评分标准

Each submission will be reviewed by at least 3 reviewers based on the following aspects:

每个提交将由至少 3 位审稿人根据以下维度进行评分:

Creativity 创意

Novelty of the idea and uniqueness of the application on embodied agents. 想法的新颖性以及在具身智能体上应用的独特性。

Completeness 完整度

Quality of execution, including the completeness of the demo, code, and documentation. 执行质量,包括演示、代码和文档的完整性。

Value to Community 对社区的价值

Potential impact, reusability, and inspiration for the open-source community. 潜在影响力、复用性以及对开源社区的启发。

Cost & Accessibility 成本与可访问性

Solutions with lower cost and higher accessibility (e.g., using consumer-grade hardware) will be scored higher. 低成本且易于获取(例如使用消费级硬件)的解决方案将获得更高评分。

Resources 相关资源

PhysClaw* GitHub Repository

Learn more about the Physical Continual Learning Agent Workflow and get started with your creative projects. 了解更多关于 PhysClaw(Physical Continual Learning Agent Workflow)的信息,并开始你的创意项目。