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2019 International Conference on Robotics and Automation (ICRA)最新文献

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High-Speed Ring Insertion by Dynamic Observable Contact Hand 动态可观察接触手的高速环插入
Pub Date : 2019-05-20 DOI: 10.1109/ICRA.2019.8794120
Yukihisa Karako, S. Kawakami, Keisuke Koyama, M. Shimojo, T. Senoo, M. Ishikawa
This study proposes a dynamic observable contact (DOC) hand as a new multifingered hand to ensure high- speed insertion in an assembly process with a small clearance between objects. To achieve insertion with a small clearance at high speed, a robot hand must realize both impact reduction and position-error compensation when the two objects contact each other. The DOC hand, with its features of 6-degrees-of- freedom dynamic passivity and object-pose observability, can realize both impact reduction and position-error compensation. To evaluate the effectiveness of the DOC hand, we construct a robot system using the DOC hand. We evaluate the performance of the system in the task of ring insertion with a small clearance (0-36um). The results indicate that the robot system performs with a higher speed than a human. In fact, the average cycle time is 2.42 s for the robot, whereas it is 2.58 s for a human. The DOC hand has opened up the possibility for achieving high-speed precision assembly using robots.
本文提出了一种动态可观察接触手(DOC)作为一种新的多指手,以确保在装配过程中物体之间的小间隙高速插入。为了实现小间隙高速插入,机械手必须同时实现两个物体接触时的冲击减小和位置误差补偿。DOC手具有6个自由度的动态无源性和对姿可观测性,可以实现冲击减小和位置误差补偿。为了评估DOC手的有效性,我们构建了一个使用DOC手的机器人系统。我们在小间隙(0-36um)的环插入任务中评估了系统的性能。结果表明,该机器人系统的运行速度高于人类。事实上,机器人的平均循环时间是2.42秒,而人类是2.58秒。DOC手开启了使用机器人实现高速精密装配的可能性。
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引用次数: 9
Resilient Task Planning and Execution for Reactive Soft Robots 柔性机器人弹性任务规划与执行
Pub Date : 2019-05-20 DOI: 10.1109/ICRA.2019.8794303
Scott Hamill, J. Whitehead, Peter Ferenz, R. Shepherd, H. Kress-Gazit
Soft robots utilize compliant materials to perform motions and behaviors not typically achievable by rigid bodied systems. These materials and soft actuator fabrication methods have been leveraged to create multigait walking soft robots. However, soft materials are prone to failure, restricting the ability of soft robots to accomplish tasks. In this work we address the problem of generating reactive controllers for multigait walking soft robots that are resilient to actuator failure by applying methods of formal synthesis. We present a sensing-based abstraction for actuator performance, provide a framework for encoding multigait behavior and actuator failure in Linear Temporal Logic (LTL), and demonstrate synthesized controllers on a physical soft robot.
软机器人利用柔性材料来执行刚体系统通常无法实现的运动和行为。这些材料和软执行器的制造方法已经被用来制造多步行走的软机器人。然而,软材料容易失效,限制了软机器人完成任务的能力。在这项工作中,我们通过应用形式综合方法解决了多步态步行软机器人生成响应控制器的问题,该控制器对执行器故障具有弹性。我们提出了一种基于感知的执行器性能抽象,提供了一个在线性时间逻辑(LTL)中编码多步态行为和执行器故障的框架,并在物理软机器人上演示了综合控制器。
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引用次数: 2
Nitinol living hinges for millimeter-sized robots and medical devices 用于毫米级机器人和医疗设备的镍钛诺活铰链
Pub Date : 2019-05-20 DOI: 10.1109/ICRA.2019.8794091
Peter A. York, R. Wood
A hybrid manufacturing process combining abrasive jet and laser micromaching enables the creation of living hinges in nitinol that retain the superelastic properties of the bulk material. The former selectively etches through the thickness of a workpiece and the latter defines the part’s final geometry. Because the majority of the material removal is done with the room-temperature mechanical etching procedure, thermal damage to the part is minimized. Processing parameters to achieve desired geometries are described, a bending stiffness model for the living hinges is provided, and validation experiments are presented. Lastly, to demonstrate the usefulness of these components to millimeter-sized robotic systems and medical devices, we show their integration in two prototype devices: an endoscopic camera wrist and a simple laser beam steering system.
结合磨料射流和激光微加工的混合制造工艺可以在镍钛诺中制造活铰链,同时保留大块材料的超弹性特性。前者选择性地蚀刻通过工件的厚度,后者定义了零件的最终几何形状。由于大部分材料的去除是通过室温机械蚀刻过程完成的,因此对部件的热损伤最小。描述了实现所需几何形状的加工参数,给出了活铰链的弯曲刚度模型,并进行了验证实验。最后,为了证明这些组件对毫米级机器人系统和医疗设备的有用性,我们展示了它们在两个原型设备中的集成:内窥镜相机手腕和简单的激光束转向系统。
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引用次数: 4
A new Approach for an Adaptive Linear Quadratic Regulated Motion Cueing Algorithm for an 8 DoF Full Motion Driving Simulator 8自由度全运动模拟器自适应线性二次调节运动提示算法的新方法
Pub Date : 2019-05-20 DOI: 10.1109/ICRA.2019.8794109
Tobias Miunske, Christian Holzapfel, Edwin Baumgartner, H. Reuss
In this contribution, a new adaptive motion cueing algorithm for a full motion driving simulator at the University of Stuttgart is presented, which allows kinematic vehicle movements to be taken into account. These are adequately processed via a state-flow chart and transferred to the motion cueing algorithm in such a way that the dynamic of the Stuttgart Driving Simulator can be used much more efficiently. Furthermore, a linear quadratic error minimization of the mentioned algorithm is presented. The primary objective is to provide a more realistic driving experience to the driver.
在这篇贡献中,提出了一种新的自适应运动提示算法,用于斯图加特大学的全运动驾驶模拟器,该算法允许考虑运动学车辆运动。这些通过状态流程图进行充分处理,并以这样一种方式转移到运动提示算法,即斯图加特驾驶模拟器的动态可以更有效地使用。在此基础上,提出了该算法的线性二次误差最小化方法。主要目标是为驾驶员提供更真实的驾驶体验。
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引用次数: 9
Investigating Design Elements of Companion Robots for Older Adults 老年人陪伴机器人的设计要素研究
Pub Date : 2019-05-20 DOI: 10.1109/ICRA.2019.8793583
Y. Oh, Jaewoong Kim, So Yon Jeong, Da-Young Ju
Older adults are vulnerable to symptoms of depression. The degree of depression is particularly high among older adults who live alone. To address this issue, various companion robots, which are capable of psychologically communicating with users, have been proposed. However, older adults’ preferences on the appearance of these robots have not been systematically investigated; this forms the focus of the present study. We interviewed 191 older adults; investigated their preferences on the design elements of robots including type, weight, and material; and analyzed the data by age, gender, and living arrangement. Our primary goal was to determine how companion robots should be designed, paying special attention to older adults who live alone. Our findings indicated that those living alone prefer a bear-like robot and negative to the heavy robot. Our results suggest that companion robots need to be designed with careful consideration of older adults’ physical and psychological preferences.
老年人容易出现抑郁症状。在独居的老年人中,抑郁症的程度尤其高。为了解决这个问题,人们提出了各种能够与用户进行心理交流的伴侣机器人。然而,老年人对这些机器人外观的偏好尚未得到系统的调查;这是本研究的重点。我们采访了191名老年人;调查了他们对机器人设计要素的偏好,包括类型、重量和材料;并按年龄、性别和居住方式对数据进行分析。我们的主要目标是确定应该如何设计伴侣机器人,特别关注独居的老年人。我们的研究结果表明,那些独居的人更喜欢熊一样的机器人,而不是笨重的机器人。我们的研究结果表明,伴侣机器人的设计需要仔细考虑老年人的生理和心理偏好。
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引用次数: 2
A Novel Laser Scalpel System for Computer-assisted Laser Surgery 计算机辅助激光手术的新型激光手术刀系统
Pub Date : 2019-05-20 DOI: 10.1109/ICRA.2019.8794066
Guangshen Ma, Weston A. Ross, Ian Hill, Narendran Narasimhan, P. Codd
Laser scalpels are utilized across a variety of surgical and dermatological procedures due to their precision and non-contact nature. This paper presents a novel laser scalpel system for superficial laser therapy applications. The system integrates a RGB-D camera, a 3D triangulation sensor and a carbon dioxide $( CO _{2})$ laser scalpel for computer-assisted laser surgery. To accurately ablate targets chosen from the color image, a 3D extrinsic calibration method between the RGB-D camera frame and the laser coordinate system is implemented. The accuracy of the calibration method is tested on phantoms with planar and cylindrical surfaces. Positive error and negative error, as defined as undershooting and overshooting over the target area, are reported for each test. For 60 total test cases, the root-mean-square of the positive and negative error in both planar and cylindrical phantoms is less than 1.0 mm, with a maximum absolute error less than 2.0 mm. This work demonstrates the feasibility of automated laser therapy with surgeon oversight via our sensor system.
由于其精度和非接触性,激光手术刀被用于各种外科和皮肤科手术。本文介绍了一种用于表面激光治疗的新型激光手术刀系统。该系统集成了一个RGB-D摄像头、一个3D三角传感器和一个用于计算机辅助激光手术的二氧化碳激光手术刀。为了精确地从彩色图像中选择目标,实现了RGB-D相机帧与激光坐标系之间的三维外部标定方法。对具有平面和柱面的幻影进行了标定方法的精度测试。正误差和负误差,定义为目标区域的过冲和过冲,报告每个测试。在共60个测试用例中,平面幻影和圆柱幻影正负误差的均方根均小于1.0 mm,最大绝对误差小于2.0 mm。这项工作证明了通过我们的传感器系统在外科医生监督下进行自动激光治疗的可行性。
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引用次数: 5
Morphology-Specific Convolutional Neural Networks for Tactile Object Recognition with a Multi-Fingered Hand 形态特异性卷积神经网络在多指手触觉物体识别中的应用
Pub Date : 2019-05-20 DOI: 10.1109/ICRA.2019.8793901
Satoshi Funabashi, Gang Yan, A. Geier, A. Schmitz, T. Ogata, S. Sugano
Distributed tactile sensors on multi-fingered hands can provide high-dimensional information for grasping objects, but it is not clear how to optimally process such abundant tactile information. The current paper explores the possibility of using a morphology-specific convolutional neural network (MS-CNN). uSkin tactile sensors are mounted on an Allegro Hand, which provides 720 force measurements (15 patches of uSkin modules with 16 triaxial force sensors each) in addition to 16 joint angle measurements. Consecutive layers in the CNN get input from parts of one finger segment, one finger, and the whole hand. Since the sensors give 3D (x, y, z) vector tactile information, inputs with 3 channels (x, y and z) are used in the first layer, based on the idea of such inputs for RGB images from cameras. Overall, the layers are combined, resulting in the building of a tactile map based on the relative position of the tactile sensors on the hand. Seven different combination variations were evaluated, and an over-95% object recognition rate with 20 objects was achieved, even though only one random time instance from a repeated squeezing motion of an object in an unknown pose within the hand was used as input.
多指手上的分布式触觉传感器可以为抓取物体提供高维信息,但如何对如此丰富的触觉信息进行优化处理尚不清楚。本文探讨了使用形态特异性卷积神经网络(MS-CNN)的可能性。uSkin触觉传感器安装在Allegro Hand上,除了16个关节角度测量外,还提供720个力测量(15块uSkin模块,每个模块有16个三轴力传感器)。CNN中的连续层从一个手指段、一个手指和整个手的部分中获得输入。由于传感器提供3D (x, y, z)矢量触觉信息,基于来自相机的RGB图像输入的想法,在第一层使用3通道(x, y和z)输入。总的来说,这些层是结合在一起的,从而根据触觉传感器在手上的相对位置构建触觉地图。对7种不同的组合变化进行了评估,即使只使用一个随机时间实例作为输入,也可以实现对20个物体的95%以上的物体识别率。
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引用次数: 16
Proximity Human-Robot Interaction Using Pointing Gestures and a Wrist-mounted IMU 使用指向手势和腕戴式IMU的接近人机交互
Pub Date : 2019-05-20 DOI: 10.1109/ICRA.2019.8794399
B. Gromov, Gabriele Abbate, L. Gambardella, A. Giusti
We present a system for interaction between co-located humans and mobile robots, which uses pointing gestures sensed by a wrist-mounted IMU. The operator begins by pointing, for a short time, at a moving robot. The system thus simultaneously determines: that the operator wants to interact; the robot they want to interact with; and the relative pose among the two. Then, the system can reconstruct pointed locations in the robot’s own reference frame, and provide real-time feedback about them so that the user can adapt to misalignments. We discuss the challenges to be solved to implement such a system and propose practical solutions, including variants for fast flying robots and slow ground robots. We report different experiments with real robots and untrained users, validating the individual components and the system as a whole.
我们提出了一个共同定位的人类和移动机器人之间的交互系统,该系统使用手腕上的IMU感知的指向手势。操作员首先用手指着移动中的机器人一小段时间。因此,系统同时确定:操作员想要交互;他们想与之互动的机器人;以及两者之间的相对姿势。然后,系统可以重建机器人自身参照系中的点位置,并提供实时反馈,以便用户能够适应不对准。我们讨论了实现这样一个系统需要解决的挑战,并提出了实际的解决方案,包括快速飞行机器人和慢速地面机器人的变体。我们报告了真实机器人和未经训练的用户的不同实验,验证了单个组件和整个系统。
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引用次数: 24
Visual-Odometric Localization and Mapping for Ground Vehicles Using SE(2)-XYZ Constraints 基于SE(2)-XYZ约束的地面车辆视觉里程定位与制图
Pub Date : 2019-05-20 DOI: 10.1109/ICRA.2019.8793928
Fan Zheng, Yunhui Liu
This paper focuses on the localization and mapping problem on ground vehicles using odometric and monocular visual sensors. To improve the accuracy of vision based estimation on ground vehicles, researchers have exploited the constraint of approximately planar motion, and usually implemented it as a stochastic constraint on an SE(3) pose. In this paper, we propose a simpler algorithm that directly parameterizes the ground vehicle poses on SE(2). The out-of SE(2) motion perturbations are not neglected, but incorporated into an integrated noise term of a novel SE(2)-XYZ constraint, which associates an SE(2) pose and a 3D landmark via the image feature measurement. For odometric measurement processing, we also propose an efficient preintegration algorithm on SE(2). Utilizing these constraints, a complete visual-odometric localization and mapping system is developed, in a commonly used graph optimization structure. Its superior performance in accuracy and robustness is validated by real-world experiments in industrial indoor environments.
本文主要研究了基于里程计和单目视觉传感器的地面车辆定位与制图问题。为了提高地面车辆视觉估计的精度,研究人员利用了近似平面运动约束,通常将其作为SE(3)位姿的随机约束来实现。在本文中,我们提出了一种更简单的算法,直接参数化地面车辆在SE(2)上的姿态。SE(2)外的运动扰动没有被忽略,而是被纳入到新的SE(2)-XYZ约束的集成噪声项中,该约束通过图像特征测量将SE(2)姿态和3D地标关联起来。对于里程测量处理,我们还提出了一种基于SE(2)的高效预积分算法。利用这些约束条件,以一种常用的图优化结构,开发了一个完整的视觉里程定位和映射系统。该方法在精度和鲁棒性方面的优异性能得到了室内工业环境实验的验证。
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引用次数: 17
A GPU Based Parallel Genetic Algorithm for the Orientation Optimization Problem in 3D Printing* 基于GPU的3D打印方向优化并行遗传算法[j]
Pub Date : 2019-05-20 DOI: 10.1109/ICRA.2019.8793989
Zhishuai Li, Gang Xiong, Xipeng Zhang, Zhen Shen, Can Luo, Xiuqin Shang, Xisong Dong, Guibin Bian, Xiao Wang, Feiyue Wang
The choice of model orientation is a very important issue in Additive Manufacturing (AM). In this paper, the model orientation problem is formulated as a multi-objective optimization problem, aiming at minimizing the building time, the surface quality, and the supporting area. Then we convert the problem into a single-objective optimization in the linear-weighted way. After that, the Genetic Algorithm (GA) is used to solve the optimization problem and the process of GA is parallelized and implemented on GPU. Experimental results show that when dealing with complex models in AM, compared with CPU only implementation, the GPU based GA can speed up the process by about 50 times, which helps to significantly reduce the optimization time and ensure the quality of solutions. The GPU based parallel methods we proposed can help to reduce the execution time and improve the efficiency greatly, making the processes more efficient.
模型定位的选择是增材制造中一个非常重要的问题。本文将模型定位问题表述为一个多目标优化问题,以最小化建筑时间、表面质量和支撑面积为目标。然后用线性加权的方法将问题转化为单目标优化问题。在此基础上,采用遗传算法求解优化问题,并在GPU上实现了遗传算法的并行化处理。实验结果表明,在处理AM中的复杂模型时,与仅使用CPU实现相比,基于GPU的遗传算法的处理速度可提高约50倍,有助于显著缩短优化时间并保证解的质量。我们提出的基于GPU的并行方法可以大大减少执行时间和提高效率,使处理更加高效。
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引用次数: 7
期刊
2019 International Conference on Robotics and Automation (ICRA)
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