Fasih Ud Din Farrukh

SLR: Learning Quadruped Locomotion without Privileged Information

Traditional reinforcement learning control for quadruped robots often relies on privileged information, demanding meticulous selection and precise estimation, thereby imposing constraints on the development process. This work proposes a Self-learning Latent Representation (SLR) method, which achieve…