{"title":"推进器辅助水下六足机器人的稳定性标准和稳定性增强方法","authors":"Lepeng Chen;Rongxin Cui;Weisheng Yan;Chenguang Yang;Zhijun Li;Hui Xu;Haitao Yu","doi":"10.1109/TRO.2024.3492374","DOIUrl":null,"url":null,"abstract":"The stability criterion is critical for the design of legged robots' motion planning and control algorithms. If these algorithms cannot theoretically ensure legged robots' stability, we need many trials to identify suitable parameters for stable locomotion. However, most existing stability criteria are tailored to robots driven solely by legs and cannot be applied to thruster-assisted legged robots. Here, we propose a stability criterion for a thruster-assisted underwater hexapod robot by finding maximum and minimum allowable thruster forces and comparing them with the current thrusts to check its stability. On this basis, we propose a method to increase the robot's stability margin by adjusting the value of thrusts. This process is called stability enhancement. The criterion uses the optimization method to transform multiple variables such as attitude, velocity, acceleration of the robot body, and the angle and angular velocity of leg joints into one kind of variable (thrust) to judge the stability directly. In addition, the stability enhancement method is straightforward to implement because it only needs to adjust the thrusts. These provide insights into how multiclass forces such as inertia force, fluid force, thrust, gravity, and buoyancy affect the robot's stability.","PeriodicalId":50388,"journal":{"name":"IEEE Transactions on Robotics","volume":"41 ","pages":"42-61"},"PeriodicalIF":9.4000,"publicationDate":"2024-11-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Stability Criterion and Stability Enhancement for a Thruster-Assisted Underwater Hexapod Robot\",\"authors\":\"Lepeng Chen;Rongxin Cui;Weisheng Yan;Chenguang Yang;Zhijun Li;Hui Xu;Haitao Yu\",\"doi\":\"10.1109/TRO.2024.3492374\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The stability criterion is critical for the design of legged robots' motion planning and control algorithms. If these algorithms cannot theoretically ensure legged robots' stability, we need many trials to identify suitable parameters for stable locomotion. However, most existing stability criteria are tailored to robots driven solely by legs and cannot be applied to thruster-assisted legged robots. Here, we propose a stability criterion for a thruster-assisted underwater hexapod robot by finding maximum and minimum allowable thruster forces and comparing them with the current thrusts to check its stability. On this basis, we propose a method to increase the robot's stability margin by adjusting the value of thrusts. This process is called stability enhancement. The criterion uses the optimization method to transform multiple variables such as attitude, velocity, acceleration of the robot body, and the angle and angular velocity of leg joints into one kind of variable (thrust) to judge the stability directly. In addition, the stability enhancement method is straightforward to implement because it only needs to adjust the thrusts. These provide insights into how multiclass forces such as inertia force, fluid force, thrust, gravity, and buoyancy affect the robot's stability.\",\"PeriodicalId\":50388,\"journal\":{\"name\":\"IEEE Transactions on Robotics\",\"volume\":\"41 \",\"pages\":\"42-61\"},\"PeriodicalIF\":9.4000,\"publicationDate\":\"2024-11-06\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"IEEE Transactions on Robotics\",\"FirstCategoryId\":\"94\",\"ListUrlMain\":\"https://ieeexplore.ieee.org/document/10746339/\",\"RegionNum\":1,\"RegionCategory\":\"计算机科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"ROBOTICS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Transactions on Robotics","FirstCategoryId":"94","ListUrlMain":"https://ieeexplore.ieee.org/document/10746339/","RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ROBOTICS","Score":null,"Total":0}
Stability Criterion and Stability Enhancement for a Thruster-Assisted Underwater Hexapod Robot
The stability criterion is critical for the design of legged robots' motion planning and control algorithms. If these algorithms cannot theoretically ensure legged robots' stability, we need many trials to identify suitable parameters for stable locomotion. However, most existing stability criteria are tailored to robots driven solely by legs and cannot be applied to thruster-assisted legged robots. Here, we propose a stability criterion for a thruster-assisted underwater hexapod robot by finding maximum and minimum allowable thruster forces and comparing them with the current thrusts to check its stability. On this basis, we propose a method to increase the robot's stability margin by adjusting the value of thrusts. This process is called stability enhancement. The criterion uses the optimization method to transform multiple variables such as attitude, velocity, acceleration of the robot body, and the angle and angular velocity of leg joints into one kind of variable (thrust) to judge the stability directly. In addition, the stability enhancement method is straightforward to implement because it only needs to adjust the thrusts. These provide insights into how multiclass forces such as inertia force, fluid force, thrust, gravity, and buoyancy affect the robot's stability.
期刊介绍:
The IEEE Transactions on Robotics (T-RO) is dedicated to publishing fundamental papers covering all facets of robotics, drawing on interdisciplinary approaches from computer science, control systems, electrical engineering, mathematics, mechanical engineering, and beyond. From industrial applications to service and personal assistants, surgical operations to space, underwater, and remote exploration, robots and intelligent machines play pivotal roles across various domains, including entertainment, safety, search and rescue, military applications, agriculture, and intelligent vehicles.
Special emphasis is placed on intelligent machines and systems designed for unstructured environments, where a significant portion of the environment remains unknown and beyond direct sensing or control.