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Visual localization with a monocular camera for unmanned aerial vehicle based on landmark detection and tracking using YOLOv5 and DeepSORT 基于YOLOv5和DeepSORT的地标检测和跟踪的无人机单目相机视觉定位
IF 2.3 4区 计算机科学 Q2 Computer Science Pub Date : 2023-05-01 DOI: 10.1177/17298806231164831
Liqun Ma, Dongyuan Meng, Shuaihe Zhao, Binbin An
Absolute visual localization is of significant importance for unmanned aerial vehicles when the satellite-based localization system is not available. With the rapid evolution in the field of deep learning, the real-time visual detection and tracking of landmarks by an unmanned aerial vehicle could be implemented onboard. This study demonstrates a landmark-based visual localization framework for unmanned aerial vehicles flying at low altitudes. YOLOv5 and DeepSORT are used for multi-object detection and tracking, respectively. The unmanned aerial vehicle localization is achieved according to the geometric similarity between the geotagged transmission towers and the annotated images captured by a monocular camera. The validation is accomplished both in the Rflysim-based simulation and the quadrotor-based real flight. The localization precision is about 10 m, and the location update frequency reaches 5 Hz with a commercially available entry-level edge artificial intelligence platform. The proposed visual localization strategy needs no satellite image as a reference map, which saves a significant amount of the GPU memory and makes possible the end-to-end implementation on small unmanned aerial vehicles.
当基于卫星的定位系统不可用时,绝对视觉定位对无人机具有重要意义。随着深度学习领域的快速发展,无人机对地标的实时视觉检测和跟踪可以在机载实现。这项研究展示了一个基于地标的无人机低空飞行视觉定位框架。YOLOv5和DeepSORT分别用于多目标检测和跟踪。无人机定位是根据带有地理标记的发射塔与单目相机拍摄的注释图像之间的几何相似性来实现的。在基于Rflysim的仿真和基于四旋翼机的真实飞行中都完成了验证。定位精度约为10m,位置更新频率达到5Hz,具有商用入门级边缘人工智能平台。所提出的视觉定位策略不需要卫星图像作为参考地图,这节省了大量的GPU内存,并使小型无人机上的端到端实现成为可能。
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引用次数: 3
A hybrid thrusting system for increasing the endurance time of multirotor unmanned aerial vehicles 一种提高多旋翼无人机续航时间的混合推力系统
IF 2.3 4区 计算机科学 Q2 Computer Science Pub Date : 2023-05-01 DOI: 10.1177/17298806231172335
Jawad Bdour, B. Sababha
One of the most significant disadvantages of electric multirotor unmanned aerial vehicles is their short flight time compared to fuel-powered unmanned aerial vehicles. This is mainly due to the low energy density of electric batteries. Fuel has much more energy density when compared to batteries. Electric-powered motors in multirotor unmanned aerial vehicles cannot be replaced with fuel-based engines because the stability and control of multirotor unmanned aerial vehicles rely on the high response rates of electric motors. One of the possible solutions to overcome this problem of short endurance times is by using hybrid thrusting systems that combine the advantages of both fuel and electrical propulsion systems, where high maneuverability and long endurance flight time could be achieved. In this work, hybrid thrusting and power systems for multirotor unmanned aerial vehicles are studied. Targeted hybrid thrusting systems consist of combustion engines, electric motors, and their power sources. Then a hybrid thrusting system-based quadrotor unmanned aerial vehicle model is developed. The article presents the altitude and attitude control systems of the developed hybrid thrusting system-based unmanned aerial vehicle. The presented hybrid quadcopter model comprises four electric motors and one fuel engine. The fuel engine used in this work is a 4.07 cc internal combustion engine targeting 2–3 kg unmanned aerial vehicles with up to 5 kg maximum takeoff weight. The developed hybrid quadrotor unmanned aerial vehicle achieved a 139% improvement in flight time when compared with traditional electric-based quadrotor unmanned aerial vehicles. The article also reports on other flight time-related issues such as the optimal fuel mass to battery size ratio to maximize the endurance time of the quadrotor unmanned aerial vehicles.
与燃油动力无人机相比,电动多旋翼无人机最显著的缺点之一是飞行时间短。这主要是由于电池的能量密度低。与电池相比,燃料具有更高的能量密度。由于多旋翼无人机的稳定性和控制依赖于电动机的高响应率,因此多旋翼无人机的电动电机无法被燃油发动机所取代。解决续航时间短问题的一个可能的解决方案是使用混合推进系统,该系统结合了燃料推进系统和电力推进系统的优点,可以实现高机动性和长续航飞行时间。本文研究了多旋翼无人机的推力与动力混合系统。目标混合推力系统由内燃机、电动机及其动力源组成。然后建立了基于混合推力系统的四旋翼无人机模型。本文介绍了研制的基于混合推力系统的无人机的高度和姿态控制系统。所提出的混合四轴飞行器模型由四个电动机和一个燃油发动机组成。在这项工作中使用的燃料发动机是4.07 cc内燃机,目标是2-3公斤的无人机,最大起飞重量高达5公斤。研制的混合动力四旋翼无人机与传统电动四旋翼无人机相比,飞行时间提高了139%。文章还报告了其他飞行时间相关的问题,如最佳燃料质量与电池尺寸比,以最大限度地提高四旋翼无人机的续航时间。
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引用次数: 1
Distilled neural state-dependent Riccati equation feedback controller for dynamic control of a cable-driven continuum robot 索驱动连续体机器人动态控制的提取神经状态相关Riccati方程反馈控制器
IF 2.3 4区 计算机科学 Q2 Computer Science Pub Date : 2023-05-01 DOI: 10.1177/17298806231174737
Mohammadamin Samadi Khoshkho, Zahra Samadikhoshkho, M. Lipsett
This article presents a novel learning-based optimal control approach for dynamic control of continuum robots. Working and interacting with a confined and unstructured environment, nonlinear coupling, and dynamic uncertainty are only some of the difficulties that make developing and implementing a continuum robot controller challenging. Due to the complexity of the control design process, a number of researchers have used simplified kinematics in the controller design. The nonlinear optimal control technique presented here is based on the state-dependent Riccati equation and developed with consideration of the dynamics of the continuum robot. To address the high computational demand of the state-dependent Riccati equation controller, the distilled neural technique is adopted to facilitate the real-time controller implementation. The efficiency of the control scheme with different neural networks is demonstrated using simulation results.
本文提出了一种新的基于学习的连续体机器人动态控制最优控制方法。在受限和非结构化环境中工作和交互、非线性耦合和动态不确定性只是开发和实现连续体机器人控制器具有挑战性的一些困难。由于控制设计过程的复杂性,许多研究人员在控制器设计中使用了简化运动学。本文提出的非线性最优控制技术是基于状态相关的Riccati方程,并在考虑连续体机器人动力学的情况下发展起来的。为了解决状态相关Riccati方程控制器的高计算要求,采用了提取神经网络技术来促进控制器的实时实现。仿真结果表明了采用不同神经网络的控制方案的有效性。
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引用次数: 0
Research on configuration design and intelligent compliance control of reconfigurable modular flexible upper limb rehabilitation robot 可重构模块化柔性上肢康复机器人构型设计与智能柔顺控制研究
IF 2.3 4区 计算机科学 Q2 Computer Science Pub Date : 2023-05-01 DOI: 10.1177/17298806231175600
Kunming Zheng, Qiuju Zhang
The upper limb exoskeleton rehabilitation robot can realize the partial functional compensation of upper limb and complete the various types of rehabilitation training for each joint of upper limb. However, the existing upper limb exoskeleton rehabilitation robots are lack of flexible reconfigurability, which are difficult to meet the diversified patient objects and rehabilitation needs, and have some problems, such as insufficient motion compliance, poor portability, and wearing comfort. To effectively solve the above problems and improve the effect of upper limb rehabilitation training, this project plans to carry out the following research: Firstly, analyze the structural characteristic and movement mechanism of upper limb, clarify the configuration theory of the modular flexible upper limb exoskeleton rehabilitation robot with reconfigurable, and design and optimize the mechanism form and structural parameters of the reconfigurable modular flexible upper limb exoskeleton rehabilitation robot. Secondly, based on the perspective of rigid–flexible coupling integration of bone–muscle–robot, the integrated equivalent mechanism model is constructed and the integrated dynamics model is established to plan compliance motion and develop intelligent compliance control strategy. Finally, the simulation experimental platform is built for simulation experimental demonstration of upper limb rehabilitation training. The implementation of this study will provide new idea and method for realizing the effect of flexible, compliance, light, and comfortable of upper limb rehabilitation training.
上肢外骨骼康复机器人可以实现上肢的局部功能补偿,完成上肢各关节的各类康复训练。然而,现有的上肢外骨骼康复机器人缺乏灵活的可重构性,难以满足多样化的患者对象和康复需求,存在运动依从性不足、便携性差、穿着舒适性差等问题。为了有效解决上述问题,提高上肢康复训练的效果,本项目计划开展以下研究:首先,分析上肢的结构特点和运动机理,阐明可重构模块化柔性上肢外骨骼康复机器人的配置理论,并对可重构模块化柔性上肢外骨骼康复机器人的机构形式和结构参数进行了设计和优化。其次,基于骨骼-肌肉-机器人刚柔耦合集成的观点,构建了集成等效机构模型,建立了集成动力学模型,以规划柔顺运动并制定智能柔顺控制策略。最后,搭建了上肢康复训练仿真实验演示平台。本研究的实施将为实现上肢康复训练的灵活性、顺应性、轻便性和舒适性提供新的思路和方法。
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引用次数: 0
Research on the influence of the baby schema effect on the cuteness and trustworthiness of social robot faces 婴儿图式效应对社交机器人面孔可爱度和可信度的影响研究
IF 2.3 4区 计算机科学 Q2 Computer Science Pub Date : 2023-05-01 DOI: 10.1177/17298806231168486
Chien-Hsiung Chen, Xiaoyu Jia
Exploring people’s attitudes toward the appearance design of social robots in a low-cost and efficient way, and enhancing the experience of human–robot interaction have always been topics of concern for robot developers and interaction designers. This study aimed to explore the influence of the baby schema effect on users’ perceptions of cuteness and trustworthiness pertinent to social robot faces through two experiments. Experiment 1 used 100 uniformly processed pictures of robot faces in the real world to help explore the linear relationship among the degree of baby face, cuteness, and trustworthiness, and received a total of 98 valid questionnaires via the Internet. Experiment 2 was a 5 × 3 within-subjects factorial design. The research variables were robot type (i.e. MAKI, RoboThespian, Flobi, Pepper, and iCat) and baby schema (low schema, uncontrolled, and high schema); their impact on users’ perceptions of cuteness and trustworthiness was investigated. A total of 175 valid questionnaires were collected via the Internet. The generated results are as follows: (1) The degree of baby face and perceived emotion of social robot faces had a positive impact on trustworthiness for most real-world robots. (2) This study obtained the correlation formula of baby face, cuteness, and trustworthiness from a quantitative point of view, thus providing a reference for research on the related credibility of communication robots. (3) In general, baby schema effect also existed in the cuteness evaluation of most real-world robots. Faces with high schema were considered cuter and more trustworthy than uncontrolled or low schema faces. (4) Robot type and baby schema had a significant interaction with cuteness and trustworthiness. (5) However, for certain types of robots, baby schema effect may also have a counter-effect, that is, an overly high baby schema may reduce users’ perceptions of the cuteness and trustworthiness of social robots.
以低成本、高效的方式探索人们对社交机器人外观设计的态度,增强人机交互体验,一直是机器人开发人员和交互设计师关注的话题。本研究旨在通过两个实验探讨婴儿图式效应对用户对社交机器人人脸的可爱度和可信度的影响。实验1使用100张真实世界中经过统一处理的机器人人脸图片来帮助探索婴儿脸的可爱程度和可信度之间的线性关系,并通过互联网共收到98份有效问卷。实验2是一个5×3的受试者内部析因设计。研究变量为机器人类型(即MAKI、RoboThespian、Flobi、Pepper和iCat)和婴儿模式(低模式、非控制模式和高模式);调查了它们对用户可爱度和可信度的影响。通过互联网共收集了175份有效问卷。研究结果如下:(1)社交机器人人脸的娃娃脸程度和感知情绪对大多数真实世界机器人的可信度有积极影响。(2) 本研究从定量的角度获得了娃娃脸、可爱度和可信度的相关公式,从而为通信机器人的相关可信度研究提供了参考。(3) 一般来说,婴儿图式效应也存在于大多数真实世界机器人的可爱度评估中。具有高模式的人脸被认为比不受控制或低模式的人脸更可爱、更值得信赖。(4) 机器人类型和婴儿模式与可爱度和可信度有显著的交互作用。(5) 然而,对于某些类型的机器人,婴儿模式效应也可能产生反作用,即过高的婴儿模式可能会降低用户对社交机器人可爱度和可信度的感知。
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引用次数: 1
A sensor review for human detection with robotic systems in regular and smoky environments 在规则和烟雾环境中使用机器人系统进行人体检测的传感器综述
IF 2.3 4区 计算机科学 Q2 Computer Science Pub Date : 2023-05-01 DOI: 10.1177/17298806231175238
S. Gelfert
Search and rescue robots gained a significant attention in the past, as they assist firefighters during their rescue missions. The opportunity to move autonomously or remotely controlled with intelligent sensor technology, to detect victims in unknown fire smoke environments, introduces a growing technology in fire engineering. Since sensor systems are a component of mobile robots, there is a demand for intelligent robot vision, especially for human detection in fire smoke environments. In this article, an overview of sensor technologies and their algorithms for human detection in regular and smoky environments is presented. These sensor technologies are categorized into single sensor and multi-sensor systems. Novel sensor approaches are led by artificial intelligence, 3D mapping and multi-sensor fusion. The article provides a contribution for future research directions in algorithms and applications and supports decision-makers in fire engineering to get knowledge in trends, novel applications and challenges in this field of research.
搜索和救援机器人在过去获得了极大的关注,因为它们在救援任务中协助消防员。利用智能传感器技术自主移动或远程控制,探测未知火灾烟雾环境中的受害者,为消防工程引入了一项不断发展的技术。由于传感器系统是移动机器人的一个组成部分,因此对智能机器人视觉的需求很大,特别是在火灾烟雾环境中对人体的检测。在本文中,概述了传感器技术及其算法在常规和烟雾环境中的人体检测。这些传感器技术分为单传感器和多传感器系统。人工智能、三维映射和多传感器融合引领了新型传感器的发展。本文为未来的算法和应用研究方向做出了贡献,并支持消防工程决策者了解该领域的研究趋势、新应用和挑战。
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引用次数: 0
Medicaroid robotic assisted surgery system: A feasibility study 类药物机器人辅助手术系统的可行性研究
IF 2.3 4区 计算机科学 Q2 Computer Science Pub Date : 2023-05-01 DOI: 10.1177/17298806231152704
G. Capovilla, E. Tagkalos, Caterina Froiio, E. Hadzijusufoviç, F. Berlth, P. Grimminger
The hinotori™ surgical robotic system, by Medicaroid (Medicaroid Corporation, Kobe, Japan), is a new robotic system for minimally invasive surgery. We aimed at evaluating its usability and accessibility in a preclinical setting. This was a preclinical feasibility study. Two groups of surgeons, one with three experienced robotic surgeons (group 1) and one with three robotic-surgery naive participants (group 2), performed the following tasks using the hinotori™ system in a simulated preclinical setting: console setup, docking, instrument exchange, undocking, and suturing. Each participant repeated each task three times. The time required for performing each repetition and the count of failed repetitions were the primary outcomes of the study. The subjectively perceived workload in performing the tasks, as measured by the NASA-TLX score, was the secondary outcome. The improvement of participants within the three repetitions as well as a comparison between the performances of group 1 and 2 were evaluated. The time required to perform each task decreased with repetitions for both groups, so did the subjective workload score. The time measures required to perform the tasks and the mental effort scores were comparable between the two groups for the console setup, docking, instrument exchange, and undocking tasks. The NASA-TLX score was also comparable between the two groups for the console setup and the emergency undocking tasks and decreased significantly within all tasks after the third repetition. The incidence of failed repetitions was higher in group 2 for the suturing task, however the difference was not statistically significant. The results confirmed the usability of the hinotori™ system in a preclinical setting for both highly trained surgeons and nonexperienced operators and its accessibility for both long-time users of other systems and first-time users.
日本™ Medicaroid(Medicaroid Corporation,Kobe,Japan)的手术机器人系统是一种用于微创手术的新型机器人系统。我们旨在评估其在临床前环境中的可用性和可访问性。这是一项临床前可行性研究。两组外科医生,一组有三名经验丰富的机器人外科医生(第1组),另一组有3名机器人手术新手(第2组),使用hinotori执行了以下任务™ 模拟临床前环境中的系统:控制台设置、对接、仪器交换、脱离对接和缝合。每个参与者将每个任务重复三次。每次重复所需的时间和失败重复的次数是研究的主要结果。通过NASA-TLX评分衡量,执行任务时主观感知的工作量是次要结果。评估了参与者在三次重复中的进步以及第1组和第2组表现之间的比较。两组完成每项任务所需的时间都随着重复次数的增加而减少,主观工作量得分也随之减少。在控制台设置、对接、仪器交换和脱离对接任务中,两组执行任务所需的时间测量和脑力劳动得分具有可比性。两组在控制台设置和紧急脱离对接任务方面的NASA-TLX得分也具有可比性,并且在第三次重复后的所有任务中都显著下降。第2组缝合任务重复失败的发生率较高,但差异无统计学意义。结果证实了hinotori的可用性™ 该系统在临床前环境中为训练有素的外科医生和无经验的操作员提供,并为其他系统的长期用户和首次用户提供可访问性。
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引用次数: 0
Simulation of suspended cable-driven parallel robot on SimulationX 悬索驱动并联机器人的SimulationX仿真
IF 2.3 4区 计算机科学 Q2 Computer Science Pub Date : 2023-03-01 DOI: 10.1177/17298806231161463
A. Jomartov, A. Tuleshov, A. Kamal, A. Abduraimov
Currently, research is being carried out on a new type of parallel robots, such as cable-driven parallel robot. The cable-driven parallel robot are parallel robots with flexible (cables), with a large workspace, with high speeds and accelerations of the end effector. In the cable-driven parallel robot, cables can only work in tension, and cable-driven parallel robot lose their performance when they are compressed. This feature severely limits the development and application of cable-driven parallel robots and requires further development of cable-driven parallel robot modeling on various software systems. Currently, Adams multibody dynamics software is widely used to create and test virtual prototypes of mechanical systems. But for cable-driven parallel robot modeling, the Adams program is quite complex and expensive to use. In this article, the simulation of the cable-driven parallel robot is carried out on the SimulationX software. Unlike other software packages, SimulationX is more accessible and cheaper and is well suited for cable-driven parallel robot simulation. Cable-driven parallel robot modeling on SimulationX allows you to identify the main design flaws even before its prototype is made. A model on the SimulationX software of a suspended cable-driven parallel robot with a point mass end effector, taking into account the elastic-dissipative properties of cables, was developed. The prototype of suspended cable-driven parallel robot with a point mass end effector was manufactured. Experimental researches of the prototype of the suspended cable-driven parallel robot with a point mass end effector confirmed the correctness of the application of the model on SimulationX for practical calculations.
目前,正在对一种新型的并联机器人进行研究,如缆索驱动的并联机器人。电缆驱动的并联机器人是具有柔性(电缆)、大工作空间、末端执行器具有高速度和加速度的并联机器人。在缆索驱动的并联机器人中,缆索只能在张力下工作,缆索驱动的平行机器人在受到压缩时会失去性能。这一特点严重限制了缆索驱动并联机器人的开发和应用,并需要在各种软件系统上进一步开发缆索驱动并联机械手建模。目前,Adams多体动力学软件被广泛用于创建和测试机械系统的虚拟原型。但对于电缆驱动的并联机器人建模,Adams程序相当复杂,使用成本高昂。本文在SimulationX软件上对缆索驱动并联机器人进行了仿真研究。与其他软件包不同,SimulationX更易于访问,更便宜,非常适合电缆驱动的并联机器人模拟。SimulationX上的电缆驱动并联机器人建模允许您在原型制造之前就识别出主要的设计缺陷。在SimulationX软件上,考虑到缆索的弹性耗散特性,建立了带有点质量末端执行器的悬索驱动并联机器人的模型。制造了带有点质量末端执行器的悬索驱动并联机器人原型。对带有点质量末端执行器的悬索驱动并联机器人原型的实验研究证实了该模型在SimulationX上应用于实际计算的正确性。
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引用次数: 0
Design and analysis of a multi-configuration wheel-leg hybrid drive robot machine 多结构轮腿混合驱动机器人的设计与分析
IF 2.3 4区 计算机科学 Q2 Computer Science Pub Date : 2023-03-01 DOI: 10.1177/17298806231163828
Feng Hou, Jiwei Yuan, Kunpeng Li, Zhouyi Wang
The use of robots to perform tasks in extreme environments instead of humans has gradually become important. For wider applications, robots should be able to adapt to complex environments, such as typical height/width-restricted motion spaces, raised obstacles, and ravines. The structure is the foundation of robot to move and perform tasks. In this study, a variable-attitude robot mechanism is designed and analyzed. With the link leg drive and Mecanum wheel drive, the robot has various configurations and omnidirectional motion capabilities. First, the design and analysis of the wheel drive system are performed, and the mapping relationship between the velocity of the robot and the velocity of the Mecanum wheel is clarified. Second, kinematics of the linkage drive system is analyzed, including the motion space, trajectory characteristics, and the effect of variable axle spacing on the robot motion performance. Subsequently, a simulation is used to verify the rationality of the three motion modes of the robot: walking, wheel drive, and hybrid drive. Finally, a motion simulation of several typical configuration changes in the robot is observed, and the feasibility of the robot mechanism to adapt to a complex environment is verified. This study contributes to the development and application of special advanced robots.
利用机器人代替人类在极端环境中执行任务已逐渐变得重要。对于更广泛的应用,机器人应该能够适应复杂的环境,例如典型的高度/宽度限制的运动空间,凸起的障碍物和沟壑。该结构是机器人运动和执行任务的基础。本文对一种变姿态机器人机构进行了设计和分析。该机器人采用连杆腿驱动和机械轮驱动,具有多种构型和全方位运动能力。首先,对车轮驱动系统进行了设计与分析,明确了机器人速度与机械轮速度之间的映射关系。其次,分析了连杆传动系统的运动学特性,包括运动空间、轨迹特性以及变轴距对机器人运动性能的影响。随后,通过仿真验证了机器人行走、轮驱动和混合驱动三种运动模式的合理性。最后,对机器人的几种典型构型变化进行了运动仿真,验证了机器人机构适应复杂环境的可行性。该研究为特种先进机器人的开发和应用做出了贡献。
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引用次数: 1
Ultra-wide-band-based adaptive Monte Carlo localization for kidnap recovery of mobile robot 基于超宽带的移动机器人绑架恢复自适应蒙特卡罗定位
IF 2.3 4区 计算机科学 Q2 Computer Science Pub Date : 2023-03-01 DOI: 10.1177/17298806231163950
R. Lin, Shuai Dong, Wei-wei Zhao, Yu-hui Cheng
In the article, a global localization algorithm based on improved ultra-wide-band-based adaptive Monte Carlo localization is proposed for quick and robust kidnap recovery of mobile robot. First, two ultra-wide-band modules, the tag installed inside the mobile robot and the anchor installed inside charging station, are used to obtain the relative distance between the mobile robot and the charging station. Second, the global grid map is converted into a map with obstacle noise given the ranging accuracy of the ultra-wide-band modules with different obstacles. Third, while the robot is kidnapped, matching grids are screened based on the range information of ultra-wide-band modules and the obstacle noise of the grids. Finally, global localization algorithm is performed based on ultra-wide-band-based adaptive Monte Carlo localization to convert randomly generated particles from the whole map into randomly generated particles in the local map. Experimental results based on gazebo simulation and a real scenario showed that our global localization algorithm based on improved ultra-wide-band-based adaptive Monte Carlo localization not only significantly helped to improve the chances of the robot global pose recovery from lost or kidnapped state but also enabled the robot kidnap recovery with a smaller number of randomly generated particles, thus reducing the time to recover its accurate global localization. The algorithm was also more effective especially for kidnap recovery in a similar and large scenario.
本文提出了一种基于改进超宽带自适应蒙特卡罗定位的全局定位算法,用于移动机器人的快速鲁棒绑架恢复。首先,使用安装在移动机器人内部的标签和安装在充电站内部的锚这两个超宽带模块来获得移动机器人与充电站之间的相对距离。其次,考虑到具有不同障碍物的超宽带模块的测距精度,将全局网格地图转换为具有障碍物噪声的地图。第三,在绑架机器人的同时,根据超宽带模块的距离信息和网格的障碍噪声筛选匹配网格。最后,基于超宽带自适应蒙特卡罗定位算法进行全局定位,将整个地图中随机生成的粒子转换为局部地图中随机产生的粒子。基于gazebo仿真和真实场景的实验结果表明,我们基于改进的超宽带自适应蒙特卡罗定位的全局定位算法不仅显著提高了机器人从丢失或绑架状态恢复全局姿态的机会,而且使机器人绑架恢复的随机数更少粒子,从而减少了恢复其精确全局定位的时间。该算法也更有效,尤其是在类似的大型场景中用于绑架恢复。
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引用次数: 0
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International Journal of Advanced Robotic Systems
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