Control and Dynamics of Mobile Robots

Últimos artículos

• Lyapunov Exponent as Physics-Informed Dense Reward: RL Discovery of Stabilization Beyond the Kapitza Pendulum

  Slava Andrejev · 16 de julio de 2026

  We suggest using the Lyapunov characteristic exponent (LCE) as a dense reward signal for the reinforcement learning problem of stabilizing the inverted pendulum with vertical motion. With LCE, the agent not only successfully found the oscillatory motion known as the Kapitza pendulum but also damped …

• LocoMamba: Vision-Driven Locomotion via End-to-End Deep Reinforcement Learning with Mamba

  Yinuo Wang, Gavin Tao · 16 de diciembre de 2025

  We introduce LocoMamba, a vision-driven cross-modal DRL framework built on selective state-space models, specifically leveraging Mamba, that achieves near-linear-time sequence modeling, effectively captures long-range dependencies, and enables efficient training with longer sequences. First, we embe…