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2018 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)最新文献

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Learning Hardware Dynamics Model from Experiments for Locomotion Optimization 从运动优化实验中学习硬件动力学模型
Pub Date : 2018-10-01 DOI: 10.1109/IROS.2018.8593804
Kuo Chen, Sehoon Ha, K. Yamane
The hardware compatibility of legged locomotion is often illustrated by Zero Moment Point (ZMP) that has been extensively studied for decades. One of the most popular models for computing the ZMP is the linear inverted pendulum (LIP) model that expresses ZMP as a linear function of the center of mass(COM) and its acceleration. In the real world, however, it may not accurately predict the true ZMP of hardware due to various reasons such as unmodeled dynamics and differences between simulation model and hardware. In this paper, we aim to improve the theoretical ZMP model by learning the real hardware dynamics from experimental data. We first optimize the motion plan using the theoretical ZMP model and collect COP data by executing the motion on a force plate. We then train a new ZMP model that maps the motion plan variable to the actual ZMP and use the learned model for finding a new hardware-compatible motion plan. Through various locomotion tasks of a quadruped, we demonstrate that motions planned for the learned ZMP model are compatible on hardware when those for the theoretical ZMP model are not. Furthermore, experiments using ZMP models with different complexities reveal that overly complex models may suffer from over-fitting even though they can potentially represent more complex, unmodeled dynamics.
腿式运动的硬件兼容性通常用零力矩点(Zero Moment Point, ZMP)来说明,这一概念已经被广泛研究了几十年。计算ZMP最流行的模型之一是线性倒立摆(LIP)模型,它将ZMP表示为质心(COM)及其加速度的线性函数。然而,在现实世界中,由于各种原因,如未建模的动力学和仿真模型与硬件之间的差异,它可能无法准确预测硬件的真实ZMP。在本文中,我们旨在通过从实验数据中学习真实的硬件动态来改进理论ZMP模型。我们首先使用理论ZMP模型优化运动方案,并通过在测力板上执行运动来收集COP数据。然后,我们训练一个新的ZMP模型,该模型将运动计划变量映射到实际的ZMP,并使用学习到的模型来寻找新的硬件兼容的运动计划。通过四足动物的各种运动任务,我们证明了学习ZMP模型所规划的运动在硬件上是兼容的,而理论ZMP模型所规划的运动在硬件上是不兼容的。此外,使用不同复杂性的ZMP模型的实验表明,过于复杂的模型可能会遭受过拟合,即使它们可能代表更复杂、未建模的动态。
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引用次数: 4
Video Motion Capture from the Part Confidence Maps of Multi-Camera Images by Spatiotemporal Filtering Using the Human Skeletal Model 基于人体骨骼模型时空滤波的多摄像头图像局部置信度图视频动作捕捉
Pub Date : 2018-10-01 DOI: 10.1109/IROS.2018.8593867
Takuya Ohashi, Y. Ikegami, Kazuki Yamamoto, W. Takano, Yoshihiko Nakamura
This paper discusses video motion capture, namely, 3D reconstruction of human motion from multi-camera images. After the Part Confidence Maps are computed from each camera image, the proposed spatiotemporal filter is applied to deliver the human motion data with accuracy and smoothness for human motion analysis. The spatiotemporal filter uses the human skeleton and mixes temporal smoothing in two-time inverse kinematics computations. The experimental results show that the mean per joint position error was 26.1mm for regular motions and 38.8mm for inverted motions.
本文讨论了视频动作捕捉,即从多摄像机图像中对人体运动进行三维重建。在对每个相机图像进行局部置信度映射计算后,应用所提出的时空滤波器,以精确和平滑的方式传递人体运动数据,用于人体运动分析。时空滤波器利用人体骨架,并在二次运动学逆计算中混合时间平滑。实验结果表明,规则运动时关节位置误差均值为26.1mm,倒立运动时关节位置误差均值为38.8mm。
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引用次数: 25
A 3D Laparoscopic Imaging System Based on Stereo-Photogrammetry with Random Patterns 基于随机模式立体摄影测量的三维腹腔镜成像系统
Pub Date : 2018-10-01 DOI: 10.1109/IROS.2018.8593733
Congying Sui, Zerui Wang, Yunhui Liu
In this paper, we propose a novel 3D laparoscopic imaging system based on stereo-photogrammetry which is assisted by projecting patterns on the tissue surface. The proposed laparoscopic imaging system has three optic channels, two of which are responsible for stereo vision feedback and the other one is used for coded structured patterns projection. The projected patterns provide the robustness to homogeneous tissue surface since they add more features that can be relied on in the stereo matching. Image fiber bundles (100k pixels) and Gradient-index (GRIN) lenses are utilized to facilitate the remote image acquisition and miniaturization of the laparoscopic probe. Moreover, we adopt a digital micromirror device (DMD) and high-speed cameras to achieve fast pattern switching (up to 4 kHz) and high frame rate image acquisition. The system configuration allows for implementation of the time multiplexing pattern codification strategy in the 3D laparoscopic imaging system to enhance the reliability and resolution of the 3D surface reconstruction. A prototype is established, and various experiments are conducted. Comparative experimental results prove the advantages of our system design. The static and dynamic 3D reconstruction results validate the performance of the proposed 3D laparoscopic imaging system quantitatively and qualitatively.
在本文中,我们提出了一种新的基于立体摄影测量的三维腹腔镜成像系统,该系统由组织表面的投影模式辅助。所提出的腹腔镜成像系统具有三个光学通道,其中两个通道负责立体视觉反馈,另一个通道用于编码结构模式投影。投影模式增加了立体匹配中可依赖的更多特征,为均匀组织表面提供了鲁棒性。图像光纤束(100k像素)和梯度指数(GRIN)透镜被用来促进远程图像采集和腹腔镜探头的小型化。此外,我们采用数字微镜器件(DMD)和高速摄像机来实现快速模式切换(高达4 kHz)和高帧率图像采集。该系统配置允许在三维腹腔镜成像系统中实施时间复用模式编码策略,以增强三维表面重建的可靠性和分辨率。建立了样机,并进行了各种实验。对比实验结果证明了系统设计的优越性。静态和动态三维重建结果定量和定性地验证了所提出的三维腹腔镜成像系统的性能。
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引用次数: 3
A Novel Soft Elbow Exosuit to Supplement Bicep Lifting Capacity 一种新型软性肘部外服以增强肱二头肌的举升能力
Pub Date : 2018-10-01 DOI: 10.1109/IROS.2018.8594403
Carly M. Thalman, Quoc P. Lam, P. Nguyen, Saivimal Sridar, Panagiotis Polygerinos
This paper investigates the design of a soft elbow exosuit capable of providing supplemental lifting assistance by reducing muscle activity of the bicep muscle. The aim is to improve the efficiency and endurance of workers who are tasked with repetitive lifting. The design consists of an array of pneumatically pressurized soft actuators, which are encased in nylon fabric that allows for a high force-to-weight ratio of 211.SN/g. An analytical model governing the bending behavior of two consecutive actuators and torque generated by the exosuit is developed, with test results showing less than 10% error from the theoretical model. An elbow joint torque value of 27.6N.m is achieved at 300kPa, which is comparable to the 30N.m maximum set by OSHA requirements in the USA. Further testing with a healthy participant is performed using surface electromyography (sEMG) sensors and a motion capture system to assess the capabilities of the exosuit to provide active assistance to the bicep during isometric and concentric contractions. Measurable assistance to lifting is observed with minimal obstruction to the user's range of motion for all experiments.
本文研究了一种软肘外装的设计,能够通过减少肱二头肌的肌肉活动来提供补充的举重辅助。目的是提高工人的效率和耐力,他们的任务是重复举起。该设计由一系列气动加压软执行器组成,这些执行器包裹在尼龙织物中,可以实现211 sn /g的高力重比。建立了控制两个连续致动器弯曲行为和外太空服产生的扭矩的解析模型,试验结果表明与理论模型误差小于10%。肘关节转矩值为27.6N。在300kPa时达到m,与30N相当。美国职业安全与健康管理局(OSHA)规定的最大值。对健康参与者进行进一步的测试,使用表面肌电图(sEMG)传感器和运动捕捉系统来评估外伤服在等长和同心收缩期间为二头肌提供主动辅助的能力。在所有实验中,观察到可测量的举重辅助,对用户运动范围的阻碍最小。
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引用次数: 48
High-Speed Stealth Walking of Underactuated Biped Utilizing Effects of Upper-Body Control and Semicircular Feet 利用上肢控制和半圆形足的欠驱动双足高速隐身行走
Pub Date : 2018-10-01 DOI: 10.1109/IROS.2018.8593821
F. Asano
Stealth walking is a way of walking carefully and noiselessly, and is an approach to stable legged locomotion of underactuated robotic walkers on irregular terrains. This paper proposes a method for generating a high-speed stealth walking gait without including double-limb support phase, and discusses the effect of upper-body control and semicircular feet on the gait properties. First, we introduce a model of a 3-link planar underactuated biped with an upper body and semicircular feet, and derive the approximate target initial state of the upper body by using the linearized equation of motion. Second, we conduct numerical simulations of the nonlinear model to observe the typical stealth walking gaits, and analyze the changing tendency of the upper body motion with respect to the foot radius. Furthermore, we discuss the advantage of semicircular feet through parametric studies of the gait efficiencies.
隐形行走是一种谨慎、无噪声的行走方式,是实现欠驱动机器人在不规则地形上稳定行走的一种方法。提出了一种不含双肢支撑阶段的高速隐身行走步态生成方法,并讨论了上肢控制和半圆足对步态特性的影响。首先,建立了具有半圆足和上肢的三连杆平面欠驱动双足机器人模型,利用线性化的运动方程导出了上肢的近似目标初始状态。其次,对非线性模型进行数值模拟,观察典型的隐身行走步态,分析上肢运动相对于足部半径的变化趋势。此外,我们通过步态效率的参数研究讨论了半圆足的优势。
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引用次数: 0
Modeling and Control of Multiple Aerial-Ground Manipulator System (MAGMaS) with Load Flexibility 具有负载柔性的多地空机械臂系统(MAGMaS)建模与控制
Pub Date : 2018-10-01 DOI: 10.1109/IROS.2018.8593834
Hyunsoo Yang, Nicolas Staub, A. Franchi, Dongjun Lee
The MAGMaS (Multiple Aerial-Ground Manipulator System) was proposed in [1] as a heterogeneous system composed of multiple ground (mobile) manipulators and aerial robots to collaboratively manipulate a long/large-sized object and demonstrated therein for rigid load manipulation. Here, we extend this result of [1] to the case of load manipulation with flexibility, which is crucial for long/slender object manipulation, yet, not considered in [1]. We first provide a rigorous modeling of the load flexibility and its effects on the MAGMaS dynamics. We then propose a novel collaborative control framework for flexible load-tip pose tracking, where the ground manipulator provides slower nominal pose tracking with overall load weight holding, whereas the aerial robot allows for faster vibration suppression with some load weight sharing. We also discuss the issue of controllability stemming from that the aerial robot provides less number of actuation than the modes of the load flexibility; and elucidate some peculiar conditions for this vibration suppression controllability. Simulations are also performed to demonstrate the effectiveness of the proposed theory.
MAGMaS (Multiple aerial - ground Manipulator System)在文献[1]中被提出,作为一个由多个地面(移动)机械臂和空中机器人组成的异构系统,用于协同操纵长/大尺寸物体,并在其中演示了对刚性载荷的操纵。这里,我们将[1]的结果扩展到具有灵活性的负载操作的情况,这对于长/细长对象操作至关重要,但在[1]中没有考虑到。我们首先提供了一个严格的模型,负载的灵活性和它对磁振子动力学的影响。然后,我们提出了一种用于柔性负载-末端姿态跟踪的新型协同控制框架,其中地面机械臂在保持整体负载重量的情况下提供较慢的标称姿态跟踪,而空中机器人在某些负载重量共享的情况下允许更快的振动抑制。我们还讨论了可控性问题,因为空中机器人提供的驱动数量少于负载柔性模式;并阐明了这种抑制振动的可控性的一些特殊条件。仿真也证明了所提理论的有效性。
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引用次数: 6
PRISM: Pose Registration for Integrated Semantic Mapping PRISM:姿态配准集成语义映射
Pub Date : 2018-10-01 DOI: 10.1109/IROS.2018.8593681
Justin W. Hart, Rishi Shah, Sean Kirmani, Nick Walker, Kathryn Baldauf, Nathan John, P. Stone
Many robotics applications involve navigating to positions specified in terms of their semantic significance. A robot operating in a hotel may need to deliver room service to a named room. In a hospital, it may need to deliver medication to a patient's room. The Building-Wide Intelligence Project at UT Austin has been developing a fleet of autonomous mobile robots, called BWIBots, which perform tasks in the computer science department. Tasks include guiding a person, delivering a message, or bringing an object to a location such as an office, lecture hall, or classroom. The process of constructing a map that a robot can use for navigation has been simplified by modern SLAM algorithms. The attachment of semantics to map data, however, remains a tedious manual process of labeling locations in otherwise automatically generated maps. This paper introduces a system called PRISM to automate a step in this process by enabling a robot to localize door signs – a semantic markup intended to aid the human occupants of a building – and to annotate these locations in its map.
许多机器人应用程序涉及导航到根据其语义意义指定的位置。在酒店工作的机器人可能需要为指定的房间提供客房服务。在医院里,它可能需要把药物送到病人的房间。德克萨斯大学奥斯汀分校(UT Austin)的大楼智能项目(Building-Wide Intelligence Project)一直在开发一组名为BWIBots的自主移动机器人,它们在计算机科学系执行任务。任务包括引导一个人,传递信息,或把一个物体带到一个地方,如办公室,演讲厅或教室。构建机器人可用于导航的地图的过程已被现代SLAM算法简化。然而,将语义附加到地图数据上仍然是一个繁琐的手动过程,即在自动生成的地图中标记位置。本文介绍了一个名为PRISM的系统,通过使机器人能够定位门标志(一种旨在帮助建筑物的人类居住者的语义标记)并在地图上标注这些位置,从而使这个过程中的一个步骤自动化。
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引用次数: 6
Humanoid Teleoperation Using Task-Relevant Haptic Feedback 使用任务相关触觉反馈的类人远程操作
Pub Date : 2018-10-01 DOI: 10.1109/IROS.2018.8593521
Firas Abi-Farraj, Bernd Henze, Alexander Werner, M. Panzirsch, C. Ott, M. Roa
Robotic teleoperation is a key technology for a wide variety of fields. Teleoperating a humanoid in particular is essential as it allows the user to act remotely on an interface designed especially for humans, e.g., in a space station, or operating tools and machinery in disaster scenarios. This paper presents a ‘task-relevant’ haptic interface for humanoid teleoperation, which bridges the gap between the task at hand and the balance of the robot. The operator is given command over the humanoid's hands and is informed through haptic cues about the impact of her/his potential actions on the robot’ stability. Moreover, a null-space autonomous controller acts in the operator's null-space to provide her/him with a wider workspace and help in the successful execution of the task. The architecture is designed to top an existing compliance controller for a torque-controlled humanoid robot. Experiments on the humanoid robot TORO are reported to demonstrate the feasibility and effectiveness of the approach.
机器人遥操作是一项广泛应用于各个领域的关键技术。远程操作类人机器人尤其重要,因为它允许用户在专门为人类设计的界面上远程操作,例如,在空间站中,或在灾难场景中操作工具和机械。本文提出了一种“任务相关”的人形遥操作触觉界面,它弥合了手头任务和机器人平衡之间的差距。操作者可以控制机器人的双手,并通过触觉提示了解她/他的潜在动作对机器人稳定性的影响。此外,零空间自治控制器在操作员的零空间中工作,为操作员提供更广阔的工作空间,并有助于成功执行任务。该体系结构的设计是在现有的力矩控制人形机器人顺应控制器的基础上进行的。在人形机器人TORO上进行了实验,验证了该方法的可行性和有效性。
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引用次数: 25
A Model Predictive Control Approach for Vision-Based Object Grasping via Mobile Manipulator 一种基于视觉的移动机械手抓取物体的模型预测控制方法
Pub Date : 2018-10-01 DOI: 10.1109/IROS.2018.8593759
M. Logothetis, G. Karras, Shahab Heshmati-alamdari, Panagiotis Vlantis, K. Kyriakopoulos
This paper presents the design of a vision-based object grasping and motion control architecture for a mobile manipulator system. The optimal grasping areas of the object are estimated using the partial point cloud acquired from an onboard RGB-D sensor system. The reach-to-grasp motion of the mobile manipulator is handled via a Nonlinear Model Predictive Control scheme. The controller is formulated accordingly in order to allow the system to operate in a constrained workspace with static obstacles. The goal of the proposed scheme is to guide the robot's end-effector towards the optimal grasping regions with guaranteed input and state constraints such as occlusion and obstacle avoidance, workspace boundaries and field of view constraints. The performance of the proposed strategy is experimentally verified using an 8 Degrees of Freedom KUKA Youbot in different reach-to-grasp scenarios.
提出了一种基于视觉的移动机械手抓取与运动控制体系结构设计。利用机载RGB-D传感器系统获取的部分点云估计物体的最佳抓取区域。采用非线性模型预测控制方法对移动机械臂的够握运动进行控制。为了使系统在具有静态障碍物的受限工作空间中运行,相应地制定了控制器。该方案的目标是在保证输入和状态约束(如遮挡和避障、工作空间边界和视场约束)的情况下,引导机器人末端执行器向最优抓取区域移动。利用8自由度的KUKA Youbot机器人在不同的伸手抓握场景中对所提出策略的性能进行了实验验证。
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引用次数: 19
On-Chip Virtual Vortex Gear and Its Application 片上虚拟涡旋齿轮及其应用
Pub Date : 2018-10-01 DOI: 10.1109/IROS.2018.8593418
T. Takayama, C. Tsai, M. Kaneko
This video presents a microfluidic phenomenon called “Virtual Vortex Gear (VVG)” and an application of it. The video contains 4 parts and is described as follows: The 1st part shows an application of VVG as a controllable valve in a micro fluidic system and the on and off of the valve are controlled by different flow speeds. The valve is turned on when the flow speed is high enough, and vice versa. The 2nd part shows the generation of VVG and its mechanism. When the flow speed, which is proportional to Reynolds Number, is gradually increased, the flow pattern evolves in the order as (1)parallel streamlines, (2)one vortex, (3)two vortices and eventually (4)three vortices including the last vortex inside the circular chamber. The evolution indicates the transmission of flow energy from the main stream to the inside of the chamber when the flow speed is over a certain range. In addition, every two adjacent vortices rotate in opposite directions which is just like a set of gears, and that is why we named it “VVG”. In the 3rd part, an application of VVG for chemical injection is demonstrated. A colored liquid is represented for the chemical and is surrounded by different sheath flow for the control of injection locations. It is found that only the fluid in a particular pinpoint can be injected into the target chamber. Furthermore, the complex but stable 3D flow patterns are visualized from the video. The last part of the video shows that different amount of chemical injection can be performed in different chambers along the same main stream and the distribution of the color is gradually become uniform by spontaneous diffusing.
本视频介绍了一种称为“虚拟涡旋齿轮(VVG)”的微流控现象及其应用。该视频包含4个部分,内容如下:第一部分展示了VVG作为可控阀在微流体系统中的应用,通过不同的流速控制阀门的开启和关闭。当流速足够高时开启阀门,反之亦然。第二部分介绍了VVG的产生及其机制。当流速与雷诺数成正比增加时,流型的演变顺序为:(1)平行流线,(2)一个涡,(3)两个涡,最终(4)三个涡,最后一个涡在圆腔内。演化表明当流速超过一定范围时,流动能量从主流向腔室内部传递。另外,每两个相邻的涡旋都以相反的方向旋转,就像一组齿轮,因此我们将其命名为“VVG”。第三部分介绍了VVG在化学注射中的应用。有颜色的液体代表化学品,并被不同的护套流包围,以控制注射位置。研究发现,只有特定针尖处的流体才能被注入靶室。此外,视频还显示了复杂而稳定的三维流态。在视频的最后一部分,我们可以看到不同的化学剂注入量可以沿着同一主流在不同的腔室中进行,颜色的分布通过自发扩散逐渐均匀。
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引用次数: 0
期刊
2018 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
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