The MOTOROiD project was launched to explore new possibilities for human–machine relationships. In 2017, the first proof-of-concept MOTOROiD prototype was unveiled, capable of standing up on its own and autonomously interacting with its rider. This was followed in 2023 by the MOTOROiD2, which showed that both the rider and machine could respond to each other like partners. And this year's MOTOROiD:Λ is capable of learning and evolving autonomously through reinforcement learning. The system trains in virtual environments and then applies its skills in the real world using Sim2Real techniques. By giving the machine a degree of independent decision-making, MOTOROiD:Λ represents another step toward a new relationship in which it can grow alongside its user. The model's main features include optimized, organic movements generated through AI-based learning and a lightweight, durable exoskeleton engineered to withstand the trial-and-error impacts of the learning process. By venturing into the uncharted field of mobility mixed with reinforcement learning for motion control, MOTOROiD:Λ aims to redefine the world of two-wheeled vehicles and pioneer an entirely new future.