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<p>The study presents a multi-agent approach for navigating low-cost quadruped robots with low sensing power across uneven terrain. This proposal is predicated on the concept that each paw of the multi-agent quadruped robot (MAQ-Robot) functions as an intelligent agent, capable of perceiving the environment and acting autonomously. Each agent is equipped with a time of flight (ToF) laser sensor at the foot’s end and receives data from an inertial measurement unit (IMU) module positioned at the robot’s center, facilitating decision-making. Several tests were conducted within a simulation environment to validate the efficiency of the proposed approach. The results demonstrate a significant enhancement in the navigation capabilities of quadruped robots on uneven terrains.</p>

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Multi-agent Approach for Low-cost Quadruped Robots Navigating on Uneven Terrains

  • 期刊论文

  • 发表日期：

    2025年8月13日

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  • Carlos Fernando Joventino,
  • Jonathas H. M. Pereira,
  • João Alberto Fabro,
  • André S. de Oliveira

摘要

The study presents a multi-agent approach for navigating low-cost quadruped robots with low sensing power across uneven terrain. This proposal is predicated on the concept that each paw of the multi-agent quadruped robot (MAQ-Robot) functions as an intelligent agent, capable of perceiving the environment and acting autonomously. Each agent is equipped with a time of flight (ToF) laser sensor at the foot’s end and receives data from an inertial measurement unit (IMU) module positioned at the robot’s center, facilitating decision-making. Several tests were conducted within a simulation environment to validate the efficiency of the proposed approach. The results demonstrate a significant enhancement in the navigation capabilities of quadruped robots on uneven terrains.