Abstract

Gait is an important research content of hexapod robots. To better improve the motion performance of hexapod robots, many researchers have adopted some high-cost sensors or complex gait control algorithms. This paper studies the straight gait of a small electric hexapod robot with a low cost, which can be used in daily life. The strategy of “increasing duty factor” is put forward in the gait planning, which aims to reduce foot sliding and attitude fluctuation in robot motion. The straight gaits of the robot include tripod gait, quadrangular gait, and pentagonal gait, which can be described conveniently by discretization and a time sequence diagram. In order to facilitate the user to control the robot to achieve all kinds of motion, an online gait transformation algorithm based on the adjustment of foot positions is proposed. In addition, according to the feedback of the actual attitude information, a yaw angle correction algorithm based on kinematics analysis and PD controller is designed to reduce the motion error of the robot. The experiments show that the designed gait planning scheme and control algorithm are effective, and the robot can achieve the expected motion. The RMSE of the row, pitch, and yaw angle was reduced by 35%, 25%, and 12%, respectively, using the “increasing duty factor” strategy, and the yaw angle was limited in the range −3°~3° using the yaw angle correction algorithm. Finally, the comparison with related works and the limitations are discussed.

Highlights

  • With the advent of the artificial intelligence era, robots are more closely related to human society [1]

  • This paper focuses on the research of straight gait planning of the hexapod robot

  • This is so that the robot can flexibly transform among various gaits to ensure the integrity and coordination of the motion, which is less studied in the previous research; A yaw angle correction algorithm is proposed based on kinematics analysis and the PD controller to reduce the motion error of the robot

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Summary

Introduction

With the advent of the artificial intelligence era, robots are more closely related to human society [1]. Most hexapod robots are still used on specific occasions Their complex control systems and algorithms may cause high research costs. Compared to the traditional hexapod robot gait planning method, the strategy “increasing duty factor” is introduced to ensure the stability of robot motion; All kinds of gaits are described based on the discretization and time sequence diagram, and the robot gait conversion scheme is designed. This is so that the robot can flexibly transform among various gaits to ensure the integrity and coordination of the motion, which is less studied in the previous research;. A yaw angle correction algorithm is proposed based on kinematics analysis and the PD controller to reduce the motion error of the robot

Related Work
Control
Kinematic
Foot Trajectory Planning
Increase of theDuty
Description
Description Based on Discretization and Time Sequence Diagram
Discretization
Walking
Correction Algorithm of Yaw Angle
Experiments
Verification of Yaw Angle Control Algorithm
Verification
17. Compared
Comparison and Transformation of Different Types of Gait
Findings
Conclusions

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