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。
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)!