首页 /研究 /Algorithms for Intelligent Control of Multi-Link Walking Robots with Self-Learning Capabilities
LOCOMOTION

Algorithms for Intelligent Control of Multi-Link Walking Robots with Self-Learning Capabilities

Vladimir Danilov, Sekou Diane, Vladimir Gonchareko, A. Artamonov

发表年份
2020
引用次数
2

摘要

The main types of structures of walking robots are considered and the choice of the design of the implemented layout of a six-legged insectomorphic robot is justified. Based on the results of the analysis of known approaches to the design of walking systems and the selected type of robot, solutions of forward and reverse kinematics problems for its joints are described. Kinematic and dynamic models of a six-legged walking robot are calculated and implemented programmatically. A computer simulation model of a six-legged walking robot is constructed that combines a 3d representation of the robot and the dynamics of its movement. The procedure for adjusting the control algorithms for a multilink structure is suggested to adapt for the uncertainties in the robot construction and the surrounding environment. Verification of the proposed mathematical models was carried out on virtual and hardware samples of walking robots.

关键词

RobotKinematicsComputer scienceRobot controlRobot kinematicsLegged robotRepresentation (politics)Robot calibrationRobot locomotionControl engineering

相关论文

查看 LOCOMOTION 分类全部论文