Phase-Aware Policy Learning for Skateboard Riding of Quadruped Robots via Feature-wise Linear Modulation
面向四足机器人滑板骑行的相位感知策略学习
AI总结 本文提出相位感知策略学习框架，通过特征级线性调制层提升四足机器人滑板骑行的相位依赖行为捕捉与跨相位知识共享，验证了在仿真中的指令跟踪精度和效率。
Comments ICRA 2026 | Project Page: https://minsungyoon.github.io/projects/papl/ | M. Yoon and J. Jeong contributed equally
