🤖 AI Summary
To address the low mobility efficiency and high operational risk of quadrupedal robots traversing loose, sloped extraterrestrial terrain (e.g., crater rims, cave walls), this paper proposes an energy-optimal adaptive gait-transition strategy. We develop a high-fidelity coupled multibody dynamics–granular media model—integrating Isaac Sim and ANSYS-Rocky—to quantitatively evaluate transport cost (CoT) for two locomotion modes: walking and trunk-assisted sliding, across varying slopes, friction coefficients, and velocities. For the first time, we define and identify the CoT crossover point between these modes and derive an analytically tractable switching threshold criterion. Experimental validation demonstrates that the proposed strategy significantly improves both traversal efficiency and stability on complex granular slopes. This work establishes a novel, engineering-deployable adaptive locomotion control paradigm for planetary exploration robots.
📝 Abstract
Legged rovers provide enhanced mobility compared to wheeled platforms, enabling navigation on steep and irregular planetary terrains. However, traditional legged locomotion might be energetically inefficient and potentially dangerous to the rover on loose and inclined surfaces, such as crater walls and cave slopes. This paper introduces a preliminary study that compares the Cost of Transport (CoT) of walking and torso-based sliding locomotion for quadruped robots across different slopes, friction conditions and speed levels. By identifying intersections between walking and sliding CoT curves, we aim to define threshold conditions that may trigger transitions between the two strategies. The methodology combines physics-based simulations in Isaac Sim with particle interaction validation in ANSYS-Rocky. Our results represent an initial step towards adaptive locomotion strategies for planetary legged rovers.