导线
机器人
适应性
前馈
地形
能源消耗
计算机科学
模拟
能量(信号处理)
模式(计算机接口)
工程类
控制工程
人工智能
人机交互
电气工程
大地测量学
统计
生物
数学
地理
生态学
作者
Daoxun Zhang,Ming Xu,Pengming Zhu,Ce Guo,Zhengyu Zhong,Huimin Lu,Zhiqiang Zheng
出处
期刊:Robotica
[Cambridge University Press]
日期:2023-11-15
卷期号:42 (1): 118-138
被引量:6
标识
DOI:10.1017/s0263574723001376
摘要
Abstract Unmanned aerial vehicles (UAVs) possess fast-moving abilities and have been used in various tasks in the past decades. However, their performances are still restricted by insufficient endurance and confined environments. Intuitively, combining other locomotion modes with UAVs, such as diving and driving, would be an appropriate idea to improve the robot’s adaptability and solve the endurance problem. Recently, the terrestrial/aerial hybrid robots have drawn the researchers’ eyes for their outstanding performances, which can deploy flight mode to traverse insurmountable terrains and ground mode to increase endurance and realize detailed searches. Therefore, this paper developed the autonomous quadrotor tilting hybrid robot (AQT-HR) to achieve terrestrial/aerial dual-modal mobility and verified that the robot delivers high energy efficiency. The AQT-HR can achieve flying and driving through a quadrotor tilting mechanism, which can alter one single driving force into different directions. Furthermore, the dynamic models of the hybrid robot’s aerial and ground locomotion are derived and introduced into the model-feedforward PID control algorithm for improving the robot’s flying stability. Finally, we conducted some mobility tests and experiments about traversing obstacles to demonstrate that the proposed hybrid robot can realize autonomous mode switching and perform a low energy consumption in ground movement mode.
科研通智能强力驱动
Strongly Powered by AbleSci AI