PRIMP示教学习最新工作被T-RO录用！ PRIMP is accepted in T-RO!

2024-04-02 00:00:00 +0000 - By Sipu Ruan

与刘惟肖、王筱励、孟昕以及Gregory S. Chirikjian教授合作的期刊文章PRIMP:PRobabilistically-Informed Motion Primitives for Efficient Affordance Learning from Demonstration被机器人领域顶刊IEEE Transactions on Robotics录用！论文提出了基于概率及可供性的示教学习新方法，可帮助机器人在新任务、新场景中完成复杂操作，提升了解算效率、轨迹相似度、规划成功率及任务完成度。

• 项目网站: https://chirikjianlab.github.io/primp-page/
• 论文链接: T-RO，OpenReview, RSS 2023研讨会，OpenReview, ICRA 2024研讨会
• 报告展示: 墙报
• 代码链接: MATLAB, Python

My journal article with Weixiao, Xiaoli, Xin and Prof. Chirikjian entitled PRIMP:PRobabilistically-Informed Motion Primitives for Efficient Affordance Learning from Demonstration has been accepted to publish in IEEE Transactions on Robotics (T-RO)!

• The project page: https://chirikjianlab.github.io/primp-page/
• The article is available in: T-RO, OpenReview, RSS 2023 workshop, OpenReview, ICRA 2024 workshop
• Presentation is avaiable in: Poster
• Code is available: MATLAB, Python