Foxtech’s P1 bipedal robot, powered by advanced reinforcement learning, has achieved a major milestone by successfully navigating rugged terrains in Tanglangshan Park, Shenzhen. In a zero-sample, fully open testing environment with no prior data on forest conditions, P1 demonstrated remarkable adaptability, control, and stability. This achievement highlights Foxtech’s robust reinforcement learning framework, which integrates Real2Sim2Real closed-loop systems, modular neural network design, and iterative pre-training algorithms. Together, these innovations enable P1 to overcome complex, real-world obstacles autonomously. Foxtech’s success with P1 reflects its dedication to developing cutting-edge robotics capable of adapting to and thriving in dynamic environments.