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2017 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)最新文献

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A glove-based system for studying hand-object manipulation via joint pose and force sensing 一个基于手套的系统,通过关节姿态和力传感来研究手-物体操作
Pub Date : 2017-09-01 DOI: 10.1109/IROS.2017.8206575
Hangxin Liu, Xu Xie, Matt Millar, Mark Edmonds, Feng Gao, Yixin Zhu, V. Santos, B. Rothrock, Song-Chun Zhu
We present a design of an easy-to-replicate glove-based system that can reliably perform simultaneous hand pose and force sensing in real time, for the purpose of collecting human hand data during fine manipulative actions. The design consists of a sensory glove that is capable of jointly collecting data of finger poses, hand poses, as well as forces on palm and each phalanx. Specifically, the sensory glove employs a network of 15 IMUs to measure the rotations between individual phalanxes. Hand pose is then reconstructed using forward kinematics. Contact forces on the palm and each phalanx are measured by 6 customized force sensors made from Velostat, a piezoresistive material whose force-voltage relation is investigated. We further develop an open-source software pipeline consisting of drivers and processing code and a system for visualizing hand actions that is compatible with the popular Raspberry Pi architecture. In our experiment, we conduct a series of evaluations that quantitatively characterize both individual sensors and the overall system, proving the effectiveness of the proposed design.
我们设计了一种易于复制的基于手套的系统,该系统可以实时可靠地同时进行手部姿势和力的感知,以便在精细的操作动作中收集人手数据。该设计包括一个能够联合收集手指姿势、手部姿势以及手掌和各指骨受力数据的传感手套。具体来说,感官手套采用15个imu组成的网络来测量各个方阵之间的旋转。然后利用正运动学重构手部姿态。手掌和每个指骨上的接触力由6个定制的力传感器测量,该传感器由Velostat制成,这是一种压阻材料,其力-电压关系进行了研究。我们进一步开发了一个开源软件管道,包括驱动程序和处理代码,以及一个与流行的树莓派架构兼容的可视化手部动作系统。在我们的实验中,我们进行了一系列定量表征单个传感器和整个系统的评估,证明了所提出设计的有效性。
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引用次数: 33
Custom soft robotic gripper sensor skins for haptic object visualization 自定义软机器人抓手传感器皮肤触觉对象可视化
Pub Date : 2017-09-01 DOI: 10.1109/IROS.2017.8202199
Benjamin Shih, Dylan Drotman, C. Christianson, Z. Huo, Ruffin White, H. Christensen, M. Tolley
Robots are becoming increasingly prevalent in our society in forms where they are assisting or interacting with humans in a variety of environments, and thus they must have the ability to sense and detect objects by touch. An ongoing challenge for soft robots has been incorporating flexible sensors that can recognize complex motions and close the loop for tactile sensing. We present sensor skins that enable haptic object visualization when integrated on a soft robotic gripper that can twist an object. First, we investigate how the design of the actuator modules impact bend angle and motion. Each soft finger is molded using a silicone elastomer, and consists of three pneumatic chambers which can be inflated independently to achieve a range of complex motions. Three fingers are combined to form a soft robotic gripper. Then, we manufacture and attach modular, flexible sensory skins on each finger to measure deformation and contact. These sensor measurements are used in conjunction with an analytical model to construct 2D and 3D tactile object models. Our results are a step towards soft robot grippers capable of a complex range of motions and proprioception, which will help future robots better understand the environments with which they interact, and has the potential to increase physical safety in human-robot interaction. Please see the accompanying video for additional details.
机器人在我们的社会中变得越来越普遍,它们在各种环境中协助或与人类互动,因此它们必须具有通过触摸感知和检测物体的能力。软机器人面临的一个持续挑战是将能够识别复杂运动的柔性传感器和触觉感知闭环结合起来。我们提出传感器皮肤,使触觉对象可视化,当集成在一个柔软的机器人抓手,可以扭转一个对象。首先,我们研究了执行器模块的设计对弯曲角和运动的影响。每个柔软的手指都是用硅胶弹性体制成的,由三个气动腔组成,可以独立充气,以实现一系列复杂的运动。三根手指组合成一个柔软的机器人抓手。然后,我们制造并在每个手指上附加模块化的、灵活的感觉皮肤来测量变形和接触。这些传感器测量与分析模型一起用于构建2D和3D触觉对象模型。我们的研究结果是向能够进行复杂运动和本体感觉的软体机器人抓手迈出的一步,这将有助于未来的机器人更好地理解与它们交互的环境,并有可能增加人机交互的物理安全性。请参阅随附的视频了解更多细节。
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引用次数: 62
An origami-inspired cargo drone 受折纸启发的货运无人机
Pub Date : 2017-09-01 DOI: 10.1109/IROS.2017.8206607
P. Kornatowski, S. Mintchev, D. Floreano
Multicopters stand to revolutionize parcel delivery because of their capability to operate in areas with unsuitable road infrastructure and precisely maneuver in cluttered environments. However, current multicopters for delivery can be dangerous for people, and are difficult to store and transport. Safety issues arise because users are exposed to unshielded spinning propellers. Transportation to the place of deployment and storage is often impaired by the large size that is required for heavy lifting. This paper addresses these limitations by proposing the integration of a quadcopter into a foldable protective cage. The cage provides an all-round protective structure that physically separates the propellers from the environment, ensuring the safety of people. The drone and the cage can be easily folded with a single movement, significantly reducing its size for ease of storage and transportation. This design has been validated with a quadcopter that can lift parcels up to 500 g and reduce its storage volume by 92% when folded.
多直升机将彻底改变包裹递送,因为它们能够在道路基础设施不合适的地区运行,并在混乱的环境中精确机动。然而,目前用于运送的多架直升机对人来说可能很危险,而且难以储存和运输。安全问题出现,因为用户暴露在无屏蔽旋转螺旋桨。运输到部署地点和储存地点往往受到重型起重所需的大尺寸的影响。本文通过提出将四轴飞行器集成到可折叠保护笼中来解决这些限制。笼子提供全方位的保护结构,将螺旋桨与环境物理隔离,确保人员安全。无人机和笼子可以通过一次移动轻松折叠,大大缩小了其尺寸,便于储存和运输。这种设计已经用四轴飞行器进行了验证,该飞行器可以举起500克重的包裹,折叠后的体积可以减少92%。
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引用次数: 53
Towards an online heuristic method for energy-constrained underwater sensing mission planning 基于在线启发式方法的能量约束水下传感任务规划
Pub Date : 2017-09-01 DOI: 10.1109/IROS.2017.8206599
N. Tsiogkas, Valerio De Carolis, D. Lane
Autonomous Underwater Vehicles (AUVs) have been widely used in scientific or industrial operations over the past years. AUV missions require the vehicle to perform a set of actions autonomously and return to the operators. These missions are currently mostly planned offline by the human operators. Existing solutions in commercial planning software usually only provide an estimate of the mission execution time. The uncertain and dynamic underwater environment can have an effect on the mission performance. More time and energy may be required, disallowing successful mission execution. This work proposes the usage of the correlated orienteering problem (COP) that maximises the utility of a sensing mission while respecting energy and time constraints. We propose a heuristic-based on genetic algorithms (GA) for the solution of the COP. This heuristic is compared against optimal mixed-integer quadratic programming (MIQP) solutions. Results show that the quality of the heuristic solution is in the worst tested case 5.5% less than the 1% optimal solutions. The heuristic proves to be at least 3 times more time efficient than the optimal MIQP solutions in the worst case. The heuristic is finally tested on an embedded platform showing its ability to be used on real robotic platforms.
近年来,自主水下航行器(auv)在科学或工业操作中得到了广泛的应用。AUV任务要求车辆自主执行一系列动作并返回给操作员。这些任务目前大多是由人工操作员离线计划的。商业计划软件中现有的解决方案通常只提供任务执行时间的估计。水下环境的不确定性和动态性会对任务性能产生影响。可能需要更多的时间和精力,从而妨碍任务的成功执行。这项工作提出了相关定向问题(COP)的使用,该问题在尊重能量和时间限制的同时最大化了传感任务的效用。提出了一种基于启发式的遗传算法(GA)来求解COP问题。将这种启发式方法与最优混合整数二次规划(MIQP)方法进行了比较。结果表明,在最坏的测试情况下,启发式解的质量比1%的最优解的质量低5.5%。在最坏的情况下,启发式算法的时间效率至少是最优MIQP解决方案的3倍。最后在嵌入式平台上对该算法进行了测试,验证了其在真实机器人平台上的应用能力。
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引用次数: 4
Magnetic interactions of neighbouring stator sets in multi DOF local electromagnetic actuation for robotic abdominal surgery 腹部手术机器人多自由度局部电磁驱动中邻近定子组的磁相互作用
Pub Date : 2017-09-01 DOI: 10.1109/IROS.2017.8206463
Florence Leong, A. Mohammadi, Ying Tan, Denny Thiruchelvam, Pietro Valdastri, D. Oetomo
This paper aims to characterise the magnetic interaction in neighbouring sets of local electromagnetic actuation (LEMA) actuators in a robotic platform for abdominal surgery. The analysis looks into the affect of the magnetic fields contributed by a stator-rotor set (the actuation unit) located adjacent to the rotor of interest. Each rotor drives one of the degree-of-freedoms (DOFs) on a surgical robotic device. In this study, a two-DOF setup is used for the magnetic interaction analysis, which can be expanded to general case n-DOF setup with the Principle of Superposition of magnetic fields from multiple sources. The magnetic model is then used to compute the dynamics of the system, which involves the equation of motion of the rotors and associated robotic mechanism it drives, and the actuator (electrical) model that takes into account the back EMF generated by the permanent magnet rotors. The magnetic field effect of the neighbouring set onto the rotor is observed by obtaining the speed response of the rotor through simulation so that the dynamic model can be validated against the experimental results. The outcomes are useful for the design specification of the LEMA system configuration, involving the feasible / pragmatic distance between the stator sets such that the interference is minimised, and for the design of the necessary control strategy.
本文旨在描述腹部手术机器人平台中邻近局部电磁驱动(LEMA)执行器组中的磁相互作用。分析着眼于由位于感兴趣的转子附近的定转子组(作动单元)产生的磁场的影响。每个转子驱动手术机器人装置的一个自由度(DOFs)。在本研究中,磁相互作用分析采用了二自由度的建立,并利用多源磁场叠加原理将其扩展为一般情况下的n自由度建立。然后使用磁性模型来计算系统的动力学,其中涉及转子及其驱动的相关机器人机构的运动方程,以及考虑永磁体转子产生的反电动势的执行器(电气)模型。通过仿真得到转子的转速响应,观察相邻机组对转子的磁场效应,从而与实验结果进行对比验证动力学模型。这些结果对于LEMA系统配置的设计规范非常有用,包括定子组之间的可行/实用距离,从而使干扰最小化,以及必要的控制策略的设计。
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引用次数: 4
Multi vehicle routing with nonholonomic constraints and dense dynamic obstacles 具有非完整约束和密集动态障碍物的多车路径
Pub Date : 2017-09-01 DOI: 10.1109/IROS.2017.8206195
Masoumeh Mansouri, F. Lagriffoul, F. Pecora
We introduce a variant of the multi-vehicle routing problem which accounts for nonholonomic constraints and dense, dynamic obstacles, called MVRP-DDO. The problem is strongly motivated by an industrial mining application. This paper illustrates how MVRP-DDO relates to other extensions of the vehicle routing problem. We provide an application-independent formulation of MVRP-DDO, as well as a concrete instantiation in a surface mining application. We propose a multi-abstraction search approach to compute an executable plan for the drilling operations of several machines in a very constrained environment. The approach is evaluated in terms of makespan and computation time, both of which are hard industrial requirements.
我们引入了一个多车辆路径问题的变体,该问题考虑了非完整约束和密集的动态障碍物,称为MVRP-DDO。这个问题是由工业采矿应用引起的。本文阐述了MVRP-DDO如何与车辆路径问题的其他扩展相关联。我们提供了与应用无关的MVRP-DDO公式,以及露天采矿应用中的具体实例。我们提出了一种多抽象搜索方法,用于在非常受限的环境中计算多台机器钻井作业的可执行计划。该方法是根据makespan和计算时间来评估的,这两者都是硬性的工业需求。
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引用次数: 7
Design and analysis of planar rotary springs 平面旋转弹簧的设计与分析
Pub Date : 2017-09-01 DOI: 10.1109/IROS.2017.8206352
Nikola-Zlatkov Georgiev, J. Burdick
This paper is concerned with the analysis, design, and prototyping of rotary planar springs for robotics applications such as rotary series elastic actuators, or mechanical couplings. The key contribution is the development of a mathematical model, based on curved beam theory, that allows rapid design, analysis, and optimization of rotary springs that have arbitrary arm shape. The paper also introduces methods to reduce the spring mass via composite arm structures, or arm cutouts. A prototype is designed, analyzed and tested to demonstrate the validity of the model.
本文研究了用于机器人应用的旋转平面弹簧的分析、设计和原型设计,如旋转系列弹性致动器或机械联轴器。关键贡献是基于弯曲梁理论的数学模型的发展,该模型允许快速设计,分析和优化具有任意臂形的旋转弹簧。本文还介绍了通过复合臂结构或臂切割来减小弹簧质量的方法。设计了一个原型,对其进行了分析和测试,以验证该模型的有效性。
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引用次数: 10
Depth estimation of optically transparent laser-driven microrobots 光学透明激光驱动微型机器人的深度估计
Pub Date : 2017-09-01 DOI: 10.1109/IROS.2017.8206136
M. Grammatikopoulou, Lin Zhang, Guang-Zhong Yang
Six degree-of-freedom (DoF) pose feedback is essential for the development of closed-loop control techniques for microrobotics. This paper presents two methods for depth estimation of transparent microrobots inside an Optical Tweezers (OT) setup using image sharpness measurements and model-based tracking. The x-y position and the 3D orientation of the object are estimated using online model-based template matching. The proposed depth estimation methodologies are validated experimentally by comparing the results with the ground truth.
六自由度位姿反馈是微型机器人闭环控制技术发展的基础。本文提出了两种基于图像清晰度测量和基于模型跟踪的光学镊子(OT)装置内透明微型机器人深度估计方法。使用基于模型的在线模板匹配来估计物体的x-y位置和三维方向。通过与地面真实情况的比较,验证了所提出的深度估计方法的有效性。
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引用次数: 3
Development of adjustable knee joint for walking assistance devices 可调节膝关节行走辅助装置的研制
Pub Date : 2017-09-01 DOI: 10.1109/IROS.2017.8205993
Byungjune Choi, Younbaek Lee, Yong-Jae Kim, Jongwon Lee, Minhyung Lee, S. Roh, Young Jin Park, Kyungrock Kim, Y. Shim
This paper presents an adjustable knee mechanism for walking assistance devices for the elderly to provide physical gait assistance. The adjustable knee mechanism can assist in flexion/extension motions of the knee joint and compensate for the transitional movements of the knee in the sagittal plane as well as aligning the frontal plane. In order to compensate for the center of rotation, the proposed adjustable knee mechanism is implemented by connecting several rolling cams with unique and precisely calculated contact geometries. The key idea of the proposed mechanism is to realize linear motion and accurate torque transmission by a pulley method using the rolling joint in which the distance of the center between the rolling cams is changed. The proposed articulated joint can effectively deliver the torque required for assistance while adapting to the joint motion of the wearer. This paper describes the mechanical design of this knee mechanism and its implementation on a wearable robot and in preliminary experiments. The performance of the proposed mechanism was verified by simulations and experiments.
本文提出了一种可调节的膝关节机构,用于老年人的步行辅助装置,以提供身体步态辅助。可调节的膝关节机制可以辅助膝关节的屈曲/伸展运动,并补偿膝关节在矢状面以及对齐额平面的过渡运动。为了补偿旋转中心,所提出的可调膝关节机构是通过连接几个具有独特和精确计算的接触几何形状的滚动凸轮来实现的。该机构的核心思想是利用改变凸轮中心距离的滚动关节,通过滑轮的方式实现直线运动和精确的转矩传递。所提出的关节可以有效地提供辅助所需的扭矩,同时适应佩戴者的关节运动。本文介绍了该膝关节机构的机械设计、在可穿戴机器人上的实现和初步实验。仿真和实验验证了该机构的性能。
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引用次数: 13
Visual navigation with efficient ConvNet features 具有高效ConvNet特征的视觉导航
Pub Date : 2017-09-01 DOI: 10.1109/IROS.2017.8206428
H. Jaspers, Dennis Fassbender, Hans-Joachim Wünsche
In this paper, we propose a system for autonomous vehicle following without a line of sight. From monocular camera images, the leading vehicle extracts scene descriptors which it transmits to the following vehicle by means of vehicle-to-vehicle (V2V) communication. The follower is able to recognize the scenes using its own camera and follow autonomously. A particle filter framework is employed for jump-free localization on the driven path of the leading vehicle. We compare the performance of different place features for accurate localization on a custom application-oriented dataset and evaluate methods to reduce the feature size for low-bandwidth V2V communication, while maintaining and even improving the recognition performance. Real-world results demonstrate the applicability of our system.
本文提出了一种自动驾驶车辆无视线跟随系统。前车从单目摄像机图像中提取场景描述符,并通过车对车(V2V)通信传输给后车。追随者能够使用自己的相机识别场景并自主跟随。采用粒子滤波框架对前车驱动路径进行无跳定位。我们比较了不同地点特征在自定义面向应用的数据集上的准确定位性能,并评估了在保持甚至提高识别性能的同时减少低带宽V2V通信特征尺寸的方法。实际结果证明了系统的适用性。
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引用次数: 2
期刊
2017 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
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