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Expanded photo-model-based stereo vision pose estimation using a shooting distance unknown photo 利用拍摄距离未知照片进行基于扩展照片模型的立体视觉姿势估计
IF 2.3 4区 计算机科学 Q2 Computer Science Pub Date : 2024-01-01 DOI: 10.1177/17298806231218789
Hongzhi Tian, Jirong Wang
Model-based stereo vision pose estimation depends on the establishment of the model. The photo-model-based method simplifies the model-building process with just one photo. Programming languages do not predefine the shapes, colors, and patterns of objects. In the past, however, it was necessary to calculate a pixel per metric ratio, that is, the number of pixels per millimeter of the object, based on the photo’s shooting distance to generate a photo-model with the same size (length and width) as the actual object. It restricts the real application. The proposed method extends the traditional photo-modeling algorithm and relaxes the photo prerequisite for target pose determination. Various pixel per metric ratios will be assumed to generate 3D photo-models of different sizes. These models will then be employed in stereo vision image matching techniques to detect the pose of the target object. Since it is not a data-driven method, it does not require many pictures and pretraining time. This article applies the algorithm to the cleaning of seaports and aquaculture, aiming to locate dead or diseased marine life on the water surface before collection. Pose estimation experiments have been conducted to detect an object’s pose and a prepared photo’s pixel per metric ratio in real application scenarios. The results show that the expanded photo-model stereo vision method can estimate the pose of a target with one pixel per metric ratio unknown photo.
基于模型的立体视觉姿势估计取决于模型的建立。基于照片模型的方法简化了建立模型的过程,只需一张照片。编程语言不会预先定义物体的形状、颜色和图案。然而,过去需要根据照片的拍摄距离计算像素/公制比,即物体每毫米的像素数,以生成与实际物体大小(长和宽)相同的照片模型。这限制了实际应用。建议的方法扩展了传统的照片建模算法,放宽了确定目标姿态的照片前提条件。将假设不同的像素/度量比来生成不同尺寸的三维照片模型。这些模型将用于立体视觉图像匹配技术,以检测目标物体的姿态。由于这不是一种数据驱动的方法,因此不需要很多图片和预训练时间。本文将该算法应用于海港和水产养殖业的清洁工作,目的是在采集前定位水面上死亡或患病的海洋生物。在实际应用场景中进行了姿态估计实验,以检测物体的姿态和准备好的照片的像素/度量比。结果表明,扩展照片模型立体视觉方法可以用一张像素/度数比未知照片估计出目标的姿态。
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引用次数: 0
Enhanced lightweight deep network for efficient livestock detection in grazing areas 增强型轻量级深度网络用于放牧区牲畜的高效检测
IF 2.3 4区 计算机科学 Q2 Computer Science Pub Date : 2024-01-01 DOI: 10.1177/17298806231218865
Xiaoxu Du, Yongsheng Qi, Junfeng Zhu, Yongting Li, Liqiang Liu
There are problems in the special pastoral environment, including large changes in target size and serious interference from light and environmental factors. To solve the above problems, an enhanced YOLOv4-tiny target detection network is proposed in this study. This network first solves the problem of livestock size fluctuation in pastoral areas, uses a pyramid network with multiscale feature fusion, and considers shallow local detail features and deep semantic information. Subsequently, a novel compound multichannel attention mechanism is proposed to increase the accuracy of the target detection network for the pastoral environment. The problem of poor accuracy of target detection network is solved. The algorithm is ported to Jetson AGX embedded platform for validation to examine the real-time performance of the algorithm. As revealed by the experimental results, enhanced YOLOv4-tiny achieves 89.77% detection accuracy and 30 frames/second detection speed, which increases the average detection accuracy by 11.67% compared with the conventional YOLOv4-tiny while maintaining almost the same detection rate.
在特殊的牧区环境中,存在目标大小变化大、光照和环境因素干扰严重等问题。为解决上述问题,本研究提出了一种增强型 YOLOv4-微小目标检测网络。该网络首先解决了牧区牲畜体型波动的问题,采用了多尺度特征融合的金字塔网络,并考虑了浅层局部细节特征和深层语义信息。随后,提出了一种新颖的复合多通道关注机制,以提高牧区环境下目标检测网络的准确性。解决了目标检测网络精度不高的问题。该算法被移植到 Jetson AGX 嵌入式平台上进行验证,以检验算法的实时性能。实验结果表明,增强型 YOLOv4-tiny 的检测精度为 89.77%,检测速度为 30 帧/秒,与传统 YOLOv4-tiny 相比,平均检测精度提高了 11.67%,而检测率几乎保持不变。
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引用次数: 0
A general method for the manipulability analysis of serial robot manipulators 串行机器人机械手可操控性分析的一般方法
IF 2.3 4区 计算机科学 Q2 Computer Science Pub Date : 2023-11-01 DOI: 10.1177/17298806231210665
Zhihong Zou
Manipulability quantification and evaluation of robot manipulators plays an important role in robotic mechanism design, motion planning, and control. In this article, a general methodology of using manipulability polytopes to characterize the manipulator’s capability to generate velocities, forces, and accelerations at the end-effector is proposed. This methodology can be used to determine the kinematic, mechanical, and dynamic manipulability of both redundant and nonredundant serial manipulators, where influences of gravity, joint velocities and accelerations, and end-effector payload on the dynamic manipulability are incorporated into the derivation of the manipulability polytopes. Since the manipulability polytope is the feasible region defined by all the joint constraints, the proposed method is suitable for solving the problems including both symmetric and asymmetric joint constraints. Furthermore, a systematic architecture and detailed procedures for performance computation with respect to different types of manipulability of serial robot manipulators are presented. Two typical application examples, respectively, for two and three degree-of-freedom planar manipulators are given to illustrate the correctness and capability of the proposed methodology.
机器人操纵器的可操纵性量化和评估在机器人机构设计、运动规划和控制中发挥着重要作用。本文提出了一种使用可操控性多面体来描述机械手在末端执行器上产生速度、力和加速度的能力的通用方法。这种方法可用于确定冗余和非冗余串行机械手的运动学、机械和动态可操控性,其中重力、关节速度和加速度以及末端执行器有效载荷对动态可操控性的影响都被纳入到可操控性多面体的推导中。由于可操控性多面体是由所有关节约束定义的可行区域,因此所提出的方法适用于解决包括对称和非对称关节约束在内的问题。此外,还介绍了针对串行机器人机械手的不同可操控性类型进行性能计算的系统架构和详细步骤。为了说明所提方法的正确性和能力,给出了两个典型的应用实例,分别适用于两自由度和三自由度平面机械手。
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引用次数: 0
Design, simulation, and experiment for the end effector of a spherical fruit picking robot 球形水果采摘机器人末端效应器的设计、模拟和实验
IF 2.3 4区 计算机科学 Q2 Computer Science Pub Date : 2023-11-01 DOI: 10.1177/17298806231213442
Ziyue Li, Xianju Yuan, Zhanpeng Yang
The end effector characterizing a flipping–cutting way is designed firstly for picking spherical fruits with a good universality, which is mainly composed of three parts such as a clamping mechanism, a flipping mechanism, and a cutting mechanism. Subsequently, the kinematics simulation for the clamping mechanism, flipping mechanism, and cutting mechanism will be implemented by mathematical models and the ADAMS software, and results reflected through them are consistent with each other, thus presenting the feasibility of the structural scheme and two models. On the basis of scheme and results of models, the sample of the end effector is manufactured. Finally, picking experiments in a lab will be also conducted in view of diverse indexes, such as the successful grabbing action, flipping–cutting action, flipping–breaking action, average fruit picking time, success rate, and damage rate. It is drawn from experimental results that the success rate of grabbing is 100%, and a success rate for picking is over 80%. An average picking time is about 9.6s, and very few fruits are damaged. Therefore, such a scheme is feasible, further presenting a good reference for designing the entire robot in a field of picking diverse spherical fruits.
首先设计了通用性较好的球形水果采摘翻转切割方式的末端效应器,主要由夹持机构、翻转机构和切割机构等三部分组成。随后,通过数学模型和 ADAMS 软件对夹紧机构、翻转机构和切削机构进行运动学仿真,得出的结果一致,从而证明了结构方案和两个模型的可行性。在方案和模型结果的基础上,制造出末端效应器的样品。最后,还将在实验室进行采摘实验,实验指标包括抓取动作成功率、翻转切割动作成功率、翻转破碎动作成功率、平均采摘时间、成功率和损坏率。实验结果表明,抓果成功率为 100%,摘果成功率超过 80%。平均采摘时间约为 9.6 秒,而且很少有水果受损。因此,这种方案是可行的,为在采摘各种球形水果的领域设计整个机器人提供了很好的参考。
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引用次数: 0
Manipulate mechanism design and synchronous motion application for driving simulator 驾驶模拟器的操纵机构设计和同步运动应用
IF 2.3 4区 计算机科学 Q2 Computer Science Pub Date : 2023-11-01 DOI: 10.1177/17298806231216798
Shuangji Yao, Zhilong Wang, M. Ceccarelli, Haojie Yang, Dingxuan Zhao
The manipulate load system of a helicopter driving simulator is a complex mechatronic system. To simulate the load system of the joystick more effectively, this study provides a new manipulate mechanism with automatic position reset function that integrates a spring system within the joystick. The load simulation of this manipulate mechanism can be achieved by designing the nonlinear coefficient of the spring in a reasonable manner, thereby eliminating the need for complex control of motor simulation and system time delay. This greatly simplifies the complexity of the system and effectively meets the requirements of real-time and accuracy. Initially, the new manipulate mechanism is described in detail through kinematic analysis. Then, dynamic simulation is conducted in ADAMS software to simulate the motion of the operation mechanism. Considering the active–passive relationships between the manipulate mechanism and the driving simulator, a mapping is established to achieve synchronized motion. The synchronized motion is subsequently evaluated and verified in MATLAB/Simulink. The results reveal that this new manipulate mechanism has high reliability and can effectively achieve synchronized motion with the driving simulator. The new manipulate mechanism will be useful in advancing research into the design of manipulate mechanism processes.
直升机驾驶模拟器的操纵负载系统是一个复杂的机电一体化系统。为了更有效地模拟操纵杆的负载系统,本研究提供了一种将弹簧系统集成在操纵杆内的具有自动位置复位功能的新型操纵机构。通过合理设计弹簧的非线性系数,可以实现该操纵机构的负载仿真,从而省去了复杂的电机仿真控制和系统时间延迟。这大大简化了系统的复杂性,有效地满足了实时性和准确性的要求。首先,通过运动学分析对新型操纵机构进行了详细描述。然后,在 ADAMS 软件中进行动态仿真,模拟操纵机构的运动。考虑到操纵机构与驾驶模拟器之间的主被动关系,建立了一个映射关系以实现同步运动。随后在 MATLAB/Simulink 中对同步运动进行了评估和验证。结果表明,这种新型操纵机构可靠性高,能有效实现与驾驶模拟器的同步运动。新的操纵机构将有助于推动操纵机构流程设计的研究。
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引用次数: 0
Real-time marine target recognition method of underwater inspection robot based on computer vision 基于计算机视觉的水下巡检机器人海洋目标实时识别方法
4区 计算机科学 Q2 Computer Science Pub Date : 2023-09-01 DOI: 10.1177/17298806231199845
Qing Yang, Jili Zhou, Huijuan Meng, Dexin Gao
In the complex marine environment, target recognition is difficult, and the real-time detection has a slow speed. In this article, a target recognition method combining underwater generative adversarial network and improved YOLOv4 is proposed, which is named M-YOLOv4. Firstly, the images collected by the underwater inspection robot are enhanced using the underwater generative adversarial network algorithm to obtain the training datasets. Secondly, the YOLOv4 target detection algorithm combines the feature extraction network of MoblieNetv3 for lightweight processing, which reduces the network model size, and reduces the number of algorithm calculations and parameters. Then, change the size of the spatial pyramid pooling module pooling kernel, which can enlarge receptive field and integrate characteristics of different receptive fields. Finally, the processed datasets are transferred to the improved M-YOLOv4 algorithm for training, and the trained model is transplanted to the Jetson Nano hardware device for real-time detection. The results of experiments show that the mean average precision value of the improved M-YOLOv4 recognition is 90.77%, which is 2.02% higher than that of the unimproved one. The frame per second value of the lightweight YOLOv4 algorithm with MobileNetv3 is 27, an increase of 12 compared with YOLOv4. The improved M-YOLOv4 algorithm can perform accurate detection of marine multi-targets on embedded devices.
在复杂的海洋环境中,目标识别困难,实时检测速度慢。本文提出了一种水下生成对抗网络与改进的YOLOv4相结合的目标识别方法,命名为M-YOLOv4。首先,利用水下生成对抗网络算法对水下检测机器人采集的图像进行增强,得到训练数据集;其次,YOLOv4目标检测算法结合MoblieNetv3的特征提取网络进行轻量化处理,减小了网络模型的大小,减少了算法的计算量和参数。然后,改变空间金字塔池化模块池化核的大小,可以扩大感受野,整合不同感受野的特征。最后,将处理后的数据集转移到改进的M-YOLOv4算法中进行训练,并将训练好的模型移植到Jetson Nano硬件设备中进行实时检测。实验结果表明,改进后的M-YOLOv4识别平均精度为90.77%,比未改进的M-YOLOv4识别精度提高了2.02%。使用MobileNetv3的轻量级YOLOv4算法的帧/秒值为27,比YOLOv4增加了12。改进的M-YOLOv4算法可以对嵌入式设备上的海洋多目标进行精确检测。
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引用次数: 0
Stakeholders’ perspectives on safety-related human–robot collaborative scenarios 利益相关者对安全相关的人机协作场景的看法
4区 计算机科学 Q2 Computer Science Pub Date : 2023-09-01 DOI: 10.1177/17298806231200095
Nicole Berx, Anita Brescia, Rhea Aqamarina, Elio Matteo Curcio, Liliane Pintelon, Giuseppe Carbone
Safety plays a key role when implementing collaborative robots (cobots) in human-shared workspace scenarios. Nevertheless, the significance and understanding of safety-related aspects may significantly vary with different stakeholders’ perspectives. In particular, there is often a misconception that cobots are inherently safe with the result of significantly underestimating the need of adopting adequate safety measures and features for the deployment of collaborative robots in industrial and non-industrial frames. Accordingly, this article develops an in-depth analysis of the stakeholders and their stakes in human–robot collaboration in the manufacturing industry with particular attention to the safety aspects. The proposed approach consists of a field study, with an online questionnaire and structured interviews, directed at the main stakeholders. The field study results are presented and compared with insights from two recent explorative studies. Finally, careful analysis and discussion is provided. This research focuses on three topics: (i) the specific phases in the collaborative robot application cycle, (ii) the stakeholders that are involved in each phase, and (iii) the stakes that affect the stakeholders in general, and specifically the role of safety within these stakes. The findings show that awareness of safety issues is still jeopardized between stakeholders. In addition, key stakeholders still significantly underestimate safety-related issues when implementing cobots in new production lines. This implies the need for objective assessment tools that can systematically address and assess all safety-related aspects. This study provides industry practitioners with a broader view of how different stakeholders regard safety-related aspects in the cobot life cycle. This will enable more informed decision-making when implementing cobot solutions and potentially avoid unconsidered safety risks later on. This article also adds to the scant research on the role of each stakeholder in human–robot collaboration.
在人类共享的工作空间场景中实现协作机器人(cobots)时,安全性起着关键作用。然而,安全相关方面的重要性和理解可能会因不同利益相关者的观点而有很大差异。特别是,通常存在一种误解,认为协作机器人本质上是安全的,其结果是大大低估了在工业和非工业框架中部署协作机器人时采用适当的安全措施和功能的需求。因此,本文深入分析了制造业中人机协作的利益相关者及其利益,并特别关注安全方面。拟议的方法包括针对主要利益相关者的实地研究、在线问卷和结构化访谈。介绍了实地研究结果,并与最近两项探索性研究的见解进行了比较。最后,进行了详细的分析和讨论。本研究主要关注三个主题:(i)协作机器人应用周期的特定阶段,(ii)每个阶段涉及的利益相关者,以及(iii)一般影响利益相关者的利害关系,特别是安全在这些利害关系中的作用。调查结果表明,利益相关者之间对安全问题的认识仍然受到损害。此外,在新生产线上实施协作机器人时,关键利益相关者仍然严重低估了与安全相关的问题。这意味着需要客观的评估工具,能够系统地处理和评估所有与安全相关的方面。本研究为行业从业者提供了一个更广泛的视角,了解不同的利益相关者如何看待协作机器人生命周期中与安全相关的方面。这将有助于在实施协作机器人解决方案时做出更明智的决策,并潜在地避免以后未考虑的安全风险。本文还补充了对每个利益相关者在人机协作中的作用的不足研究。
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引用次数: 0
The motion reliability analysis of a series system with multiple coordinated manipulators 多协调机械手串联系统的运动可靠性分析
4区 计算机科学 Q2 Computer Science Pub Date : 2023-09-01 DOI: 10.1177/17298806231198936
Wei Wang, Zequan Xu, Qinchuan Li, Jin Wang, Ran Huo, Guodong Lu
Coordinated manipulators can construct a series system, such that all the position error of the end-effector is required to remain within the permissible limit. This article proposed a new method to handle the problem of reliability analysis involving in multiple failure modes. The extreme value of the position error is introduced to construct a surrogate model to replace the original failure event, the moment with fraction order instead of the traditional integer is applied to derive the best-fit distribution of the extreme value based on the maximum entropy principle. The innovations mainly include: (1) the high efficient dimension reduction via the surrogate model constructed with the extreme value and (2) a better probability density function is derived through the fractional moment. A series system consists of three manipulators is used as an example to demonstrate the efficiency and accuracy of the proposed method.
协调机械手可以构造一个串联系统,使得末端执行器的所有位置误差都保持在允许的范围内。本文提出了一种处理多失效模式可靠性分析问题的新方法。引入位置误差极值构造替代失效事件的代理模型,采用分数阶矩代替传统的整数矩,基于最大熵原理推导极值的最优拟合分布。创新点主要有:(1)利用极值构造的代理模型进行高效降维;(2)利用分数阶矩推导出更好的概率密度函数。以一个由三个机械手组成的串联系统为例,验证了该方法的有效性和准确性。
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引用次数: 0
Singularity avoidance method for dual-arm closed-chain system based on damped least squares 基于阻尼最小二乘的双臂闭链系统奇异避免方法
4区 计算机科学 Q2 Computer Science Pub Date : 2023-09-01 DOI: 10.1177/17298806231206940
Qin Zhang, Zhenyu Liu, Hui Chai, Yueyang Li
When two manipulators cooperate to clamp a rigid object, a closed chain with both ends fixed is formed. The singularity of a single manipulator causes the closed chain to be at a singularity, which results in uncertainty in the velocity mapping between the terminal and joint space. This study proposes a closed-chain singularity processing method for dual-arm collaboration, adopting the Jacobian pseudoinverse method based on damped least squares to obtain an approximate solution. During the solution process, the adaptive damping factor is improved by cubic polynomials, and the optimal damping factor is determined by quadratic sequence programming. Furthermore, this study analyzes the kinematic constraints of the closed-chain system and constructs a closed-chain Jacobian to judge whether the system is in a singular region. Finally, the effectiveness of the proposed method is verified through simulations.
当两个机械手合作夹紧一个刚性物体时,就形成了一个两端固定的封闭链条。单个机械臂的奇异性导致闭合链处于奇异点,从而导致末端与关节空间之间速度映射的不确定性。提出了一种双臂协作的闭链奇点处理方法,采用基于阻尼最小二乘的雅可比伪逆方法得到近似解。在求解过程中,采用三次多项式对自适应阻尼因子进行改进,采用二次序列规划确定最优阻尼因子。进一步分析了闭链系统的运动约束条件,构造了闭链雅可比矩阵来判断系统是否处于奇异区域。最后,通过仿真验证了所提方法的有效性。
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引用次数: 0
Stable gait generation method for lower-limb exoskeleton based on instrumented crutches 基于器械拐杖的下肢外骨骼稳定步态生成方法
IF 2.3 4区 计算机科学 Q2 Computer Science Pub Date : 2023-07-01 DOI: 10.1177/17298806231191938
Tianjiao Zheng, Jingsong Gao, Sikai Zhao, Mingzhu Lai, Yang Gao, Jie Zhao, Yanhe Zhu
Lower-limb exoskeletons have attracted considerable interest because they can provide impaired individuals with the ability to walk upright. Trajectory generation of walking gait is a crucial issue for lower-limb exoskeletons that has not yet been satisfactorily solved. The purpose of this article is to study a stable gait generation method considering the subjective walking intention. Inspired by the motion synergy between crutches and lower limbs, a stable gait generation method for flat-ground walking was proposed for a lower-limb exoskeleton. The motion synergy in the sagittal plane between the crutch-pitch-angle and step length was validated using theoretical and experimental methods. The synergistic relationship between the maximum crutch-pitch-angle and step-length coefficient was established and optimized. Based on the synergistic relationship, the gait trajectory of the exoskeleton with variable step length can be instinctively generated with a crutch swing. The gait stability of the human-exoskeleton system was modeled and analyzed. Consecutive walking experiments were conducted on flat ground in which a compact lower-limb exoskeleton and pair of instrumented crutches were employed. The results demonstrate that gait based on the synergistic relationship is effective and stable, thereby verifying the feasibility of this human-in-the-loop gait generation method.
下肢外骨骼已经引起了人们的极大兴趣,因为它们可以为受损个体提供直立行走的能力。步行步态的轨迹生成是下肢外骨骼的一个关键问题,目前尚未得到满意的解决。本文的目的是研究一种考虑主观步行意图的稳定步态生成方法。受拐杖和下肢运动协同作用的启发,提出了一种用于下肢外骨骼的平地行走稳定步态生成方法。使用理论和实验方法验证了拐杖节距角和步长在矢状面上的运动协同作用。建立并优化了最大拐节角与步长系数的协同关系。基于协同关系,拐杖摆动可以本能地生成变步长外骨骼的步态轨迹。对人体外骨骼系统的步态稳定性进行了建模和分析。在平坦的地面上进行了连续的步行实验,实验中使用了紧凑的下肢外骨骼和一对器械拐杖。结果表明,基于协同关系的步态是有效和稳定的,从而验证了这种人在环步态生成方法的可行性。
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引用次数: 0
期刊
International Journal of Advanced Robotic Systems
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