Design and Obstacle Crossing Research of Wheeled-Leg Hybrid Unmanned Robot

Bingwu Jia, Xiaolei Ren, Zishuo Liu, Xuanhu Zhao, Qingyi Shang, Hui Liu*

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

This article proposes a obstacle-crossing control strategy for a quadruped wheeled-leg unmanned robot, achieving the ability to climb vertical walls while considering ground contact. Initially, this control strategy considers the motion states of the legs in the wheeled-leg robot. By detecting whether the legs are lifted or in contact with the ground, the controller parameters of the wheeled-leg robot are adjusted, allowing for torque control of each joint actuator. Subsequently, the robot's motion is controlled by planning leg end trajectories and body velocity to complete the obstacle-crossing process on vertical walls. Finally, the proposed motion control method and foot trajectory strategy are implemented through Simulink. Controller parameters are adjusted within Simulink, and the simulation is conducted to achieve obstacle-crossing on vertical walls for the wheeled-leg robot. This control method and trajectory planning enable the wheeled-leg robot to overcome vertical wall obstacles, significantly enhancing its passability and environmental adaptability.

Original languageEnglish
Title of host publication2023 5th International Conference on Robotics, Intelligent Control and Artificial Intelligence, RICAI 2023
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages195-199
Number of pages5
ISBN (Electronic)9798350357950
DOIs
Publication statusPublished - 2023
Event5th International Conference on Robotics, Intelligent Control and Artificial Intelligence, RICAI 2023 - Hangzhou, China
Duration: 1 Dec 20233 Dec 2023

Publication series

Name2023 5th International Conference on Robotics, Intelligent Control and Artificial Intelligence, RICAI 2023

Conference

Conference5th International Conference on Robotics, Intelligent Control and Artificial Intelligence, RICAI 2023
Country/TerritoryChina
CityHangzhou
Period1/12/233/12/23

Keywords

  • component
  • motion control
  • obstacle crossing
  • trajectory planning
  • wheeled-leg robot

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