代码仓库
评测基准 / 科研
parcelstow · coenwerem
ParcelStow在Isaac Lab中评估执行时序变化下的模仿学习机器人策略的鲁棒性。
概述
ParcelStow evaluates imitation-learned robot-policy robustness under execution-timing variation in Isaac Lab.<br><br>Publisher summary：“Isaac Lab robot learning benchmark for assessing imitation-learned policy robustness under execution-timing variation”<br><br>Use its repository to inspect the implementation, documentation and supported workflows. This directory record identifies the maintainer, code license and related resources; it does not claim that the project has been installed or tested on your robot.
项目信息
- 维护者
- coenwerem
- 主要语言
- Python
- 存储库代码许可证
- Apache-2.0
- 模型重量许可证
- 未记录
- 数据集许可
- 未记录
- 硬件设计许可证
- 未记录
- 维护
- 未存档在最后记录的元数据中
- 最后观察到的存储库推送
- 2026-10-06
代码许可不会自动涵盖模型权重、数据集或硬件设计。未记录的许可证详细信息需要与发布者确认。
文档部分
- ParcelStow
- Does Imitation Learning Preserve Robustness Under Execution-Timing Variation?
- Expert–ACT Comparison
- Execution Timing and Task Success
- Nominal and Scaled-Speed Task Success
- Get the Code
