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2019 19th International Conference on Advanced Robotics (ICAR)最新文献

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Analysis of Energy Consumption in a Two-arm Vertical Planar Robot by Varying a Dimensionless Design Construction Parameter 改变无量纲设计结构参数的双臂垂直平面机器人能耗分析
Pub Date : 2019-12-01 DOI: 10.1109/ICAR46387.2019.8981562
M. U. Borges, Fernando Augusto A. Pinto, E. J. Lima
With the advent of 4.0 industry, robotic technologies are now considered part of the industrial complex. New areas are being researched, merging robotic manipulator's precise and accurate movement to automatise repetitive tasks. In the industry, hundreds of manipulators are being applied to execute tasks that were previously executed manually. This fact promoted not only the rising on the processes efficiency, but also reduced the human exposure to danger. The comprehension of those systems dynamic behaviour is essential to better design new manipulators for specific tasks. Despite this growth, just few other papers are regarding manipulator's energy and design. In this paper, a vertical planar robotic manipulator with two cylindrical arms and two degrees-of-freedom is modelled to analyse the influence of a dimensionless design parameter, i.e. a ratio between length and diameter, on the energy consumption and peak power required. In conjunction with preset properties, e.g. material density, weight and inertial momentum, three simulations are run covering two different move sets and two different manipulators sizes to calculate energy and power for a specific task. It is expected that the longest the manipulator's arm, the higher the energy consumption. However, this is not always observed, and the reasons why are discussed in this paper.
随着工业4.0的到来,机器人技术现在被认为是工业综合体的一部分。人们正在研究新的领域,将机器人操纵器的精确和精确运动结合起来,使重复性任务自动化。在工业中,数以百计的机械手被应用于执行以前手工执行的任务。这一事实不仅促进了工艺效率的提高,而且减少了人类的危险暴露。理解这些系统的动态行为对于更好地为特定任务设计新的机械手是必不可少的。尽管这种增长,只有少数其他论文是关于操纵器的能量和设计。本文建立了具有两个圆柱臂和两个自由度的垂直平面机械臂的模型,分析了无量纲设计参数(即长径比)对其能耗和峰值功率的影响。结合预先设定的属性,如材料密度、重量和惯性动量,运行三个模拟,涵盖两种不同的移动集和两种不同的机械手尺寸,以计算特定任务的能量和功率。预计机械手臂越长,能耗越高。然而,这并不总是被观察到,并在本文中讨论了原因。
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引用次数: 0
Modeling and Control of an Unmanned Aerial Vehicle with Tilt Rotors Equipped with a Camera 装有摄像机的倾斜旋翼无人机建模与控制
Pub Date : 2019-12-01 DOI: 10.1109/ICAR46387.2019.8981605
T. L. Costa, J. C. Vendrichoski, E. S. Elyoussef, E. D. Pieri
In this work, we present a control law for an unmanned aerial vehicle (UAV) carrying a camera through a two degrees of freedom (2-DOF) gimbal mechanism. The vehicle is an H -shaped quadrotor with an additional mechanism that allows the independent projection, along the longitudinal direction, of the thrust generated by each rotor. This particular characteristic shows useful during the execution of some specific tasks, especially the ones that require high velocity. A control law is designed to deal with the underactuation and nonlinearities behavior of the vehicle, that are expressed mathematically by the Euler-Lagrange formulation. The control structure is arranged in four subsystems, designed to control the dynamics of the UAV position, attitude, rotors inclination, and camera pointing. For the position control, the inverse dynamic is used to linearize the translation subsystem, and then a robust H∞ controller is applied. For the remaining subsystems, the Super-Twisting Sliding Mode Control is applied. We present, through simulation, the performance of the designed control structure, proving that the controlled UAV is stabilized and able to track given trajectories even in the presence of unmodeled dynamics, parametric uncertainties and external disturbances (such as wind gusts).
在这项工作中,我们提出了一种通过二自由度(2-DOF)框架机构携带相机的无人机(UAV)的控制律。飞行器是一个H形的四旋翼,带有一个附加的机构,允许独立的投影,沿着纵向方向,由每个转子产生的推力。在执行某些特定任务时,特别是需要高速度的任务时,这种特殊的特性显得非常有用。设计了一种控制律来处理车辆的欠驱动和非线性行为,并用欧拉-拉格朗日公式进行数学表达。该控制结构分为四个子系统,设计用于控制无人机的位置、姿态、旋翼倾角和相机指向的动力学。对于位置控制,首先利用逆动态对平移子系统进行线性化,然后采用鲁棒H∞控制器。其余子系统采用超扭滑模控制。通过仿真,我们展示了所设计的控制结构的性能,证明了被控制的无人机即使在未建模的动力学、参数不确定性和外部干扰(如阵风)存在的情况下也是稳定的,并且能够跟踪给定的轨迹。
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引用次数: 2
Non-stop Handover of Parcel to Airborne UAV Based on High-speed Visual Object Tracking 基于高速视觉目标跟踪的机载无人机包裹不间断移交
Pub Date : 2019-12-01 DOI: 10.1109/ICAR46387.2019.8981623
Satoshi Tanaka, T. Senoo, M. Ishikawa
Although research on physical distribution using unmanned aerial vehicles (UAVs) has seen increasingly significant interest, the task of automatically loading a parcel onto a UAV has not been researched adequately. In this study, to design an automatic UAV delivery system, we achieved the task of non-stop handover of a parcel to an airborne UAV. For the handover task, we developed a novel tracking system with highspeed, multi-camera vision using cameras with different frame rates. Through sensor fusion, the proposed system overcomes the problem associated with tracking far away objects by using high-speed cameras with short exposure times. The proposed system demonstrates that it is feasible to combine both highspeed object tracking (1000 fps) and distant object tracking.
尽管利用无人机进行物流配送的研究日益引起人们的极大兴趣,但在无人机上自动装载包裹的任务还没有得到充分的研究。在本研究中,我们设计了一个无人机自动递送系统,实现了一个包裹不间断地移交给机载无人机的任务。针对切换任务,我们利用不同帧率的摄像机开发了一种高速多摄像机视觉跟踪系统。通过传感器融合,该系统克服了使用短曝光时间的高速相机跟踪远距离目标的问题。实验表明,将高速目标跟踪(1000 fps)与远距离目标跟踪相结合是可行的。
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引用次数: 1
Flux Regulation for Torque-controlled Robotics Actuators 转矩控制机器人执行器的磁链调节
Pub Date : 2019-12-01 DOI: 10.1109/ICAR46387.2019.8981613
Mobin Mohammadnia, Navvab Kashiri, F. Braghin, N. Tsagarakis
Upon the employment of robots in applications beyond traditional industries, the need for development of torque-controlled actuators has become more evident. To exploit the full capacity of torque/motion actuators, it is essential to regulate the motor flux in demand. Despite many studies in this area, major research in flux control has been dedicated to speed control. This work targets to present a novel and robust field weakening strategy for surface mounted permanent magnet motors (SPMSMs) when only a torque reference is given so that the motor velocity can adapt to operating conditions. The concept of proposed approach is elaborated and described qualitatively and mathematically. This work analyses the robustness of proposed approach to variation in motor parameters, and compares it with the performance of another approach in simulation and experimental results.
随着机器人在传统行业之外的应用,对力矩控制执行器的开发需求变得更加明显。为了充分利用扭矩/运动执行器的能力,有必要根据需求调节电机磁链。尽管在这一领域有许多研究,但磁链控制的主要研究一直致力于速度控制。这项工作的目标是为表面贴装永磁电机(SPMSMs)提供一种新颖而强大的磁场减弱策略,当只有一个扭矩参考时,电机速度可以适应运行条件。对所提出的方法的概念进行了定性和数学的阐述和描述。本文分析了所提出的方法对电机参数变化的鲁棒性,并在仿真和实验结果中与另一种方法的性能进行了比较。
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引用次数: 1
A Comparative Study of Sensor Fault Detection Approaches applied to an Autonomous Solar-powered Aircraft 自主太阳能飞机传感器故障检测方法比较研究
Pub Date : 2019-12-01 DOI: 10.1109/ICAR46387.2019.8981577
Paulo Padrão, L. Hsu, Michael Vilzmann, K. Kondak
Developed by Elektra Solar, an official spin-off of the DLR Institute for Robotics and Mechatronics (DLR-RMC), the Elektra 2 is a solar-powered autonomous aircraft designed to endure long distances as well as high altitudes. The main motivation of this work is to develop and compare three different IMU sensor fault detection (FD) approaches to be further applied to the Elektra 2 Aircraft in real flight experiments. Currently, the Elektra 2 Solar aircraft provides a simple limit-checking of certain measurements such as aircraft angular velocities and pitch, roll and yaw angles. The first proposed FD approach is based on decoupled lateral and longitudinal linear models of the aircraft in combination with the ATLMS technique. The second proposed FD approach is based on a well-defined kinematic model of the aircraft in combination with an extended Kalman filter. The third FD approach is a model-free approach based on principal component analysis. Simulation methodology covered different flight scenarios with different additive faults (abrupt, incipient, extra noise) applied to roll and pitch angles and rates.
Elektra Solar是DLR机器人和机电一体化研究所(DLR- rmc)的官方衍生公司,Elektra 2是一架太阳能自主飞机,旨在承受长距离和高海拔。这项工作的主要动机是开发和比较三种不同的IMU传感器故障检测(FD)方法,以便进一步应用于Elektra 2飞机的实际飞行实验。目前,Elektra 2太阳能飞机提供了一个简单的限制检查某些测量,如飞机角速度和俯仰,滚转和偏航角。首先提出的FD方法是基于飞机的横向和纵向解耦线性模型,并结合ATLMS技术。第二种提出的FD方法是基于一个定义良好的飞机运动学模型,并结合扩展卡尔曼滤波器。第三种FD方法是基于主成分分析的无模型方法。模拟方法涵盖了不同的飞行场景,不同的附加故障(突然的、初始的、额外的噪声)应用于翻滚和俯仰角和速率。
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引用次数: 0
Dynamic Movement Primitives: Volumetric Obstacle Avoidance 动态运动原语:体积避障
Pub Date : 2019-12-01 DOI: 10.1109/ICAR46387.2019.8981552
Michele Ginesi, D. Meli, A. Calanca, D. Dall’Alba, N. Sansonetto, P. Fiorini
Dynamic Movement Primitives (DMPs) are a framework for learning a trajectory from a demonstration. The trajectory can be learned efficiently after only one demonstration, and it is immediate to adapt it to new goal positions and time duration. Moreover, the trajectory is also robust against perturbations. However, obstacle avoidance for DMPs is still an open problem. In this work, we propose an extension of DMPs to support volumetric obstacle avoidance based on the use of superquadric potentials. We show the advantages of this approach when obstacles have known shape, and we extend it to unknown objects using minimal enclosing ellipsoids. A simulation and experiments with a real robot validate the framework, and we make freely available our implementation.
动态运动原语(Dynamic Movement Primitives, dmp)是从演示中学习轨迹的框架。只需一次演示就可以有效地学习轨迹,并且可以立即使其适应新的目标位置和持续时间。此外,该轨迹对扰动也具有鲁棒性。然而,dmp的避障仍然是一个悬而未决的问题。在这项工作中,我们提出了dmp的扩展,以支持基于使用超二次势的体积避障。我们展示了这种方法在障碍物形状已知时的优势,并使用最小的封闭椭球体将其扩展到未知物体。在一个真实的机器人上进行了仿真和实验,验证了该框架,并免费提供了我们的实现。
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引用次数: 27
Bargaining game approach for lane change maneuvers 变道机动的讨价还价博弈方法
Pub Date : 2019-12-01 DOI: 10.1109/ICAR46387.2019.8981547
T. C. Santos, D. Wolf
Lane change is one of the most common maneuvers in traffic and at least 60,000 people are injured from them. This problem is usually addressed from the perspective of automation and for a single vehicle using path planning and control approaches. However, traffic is a multi-agent system which can use communication technologies to perform coordinated maneuvers in a decentralized manner. This paper aims to present a Decentralized Bargaining Negotiation Process allowing that two conflicting agents negotiate. During the negotiation, agents calculate velocity change proposals and communicate with each other in order to solve the conflict at the lowest cost. This enables that agents open safe distance gaps and make the maneuvers. We also proposed a cost function attenuation so that the agents can continue to negotiate while the agreement was not reached, but with less impact on the cost. We simulated lane merge task on SUMO with a two-lane highway with speed limit of 30 m/s. We initially simulated 2 agents and we were increasing the number of agents up to 26. We recorded the total average time for the platoon to perform the lane merge task, the platoon average velocity and the average of the speed limit exceeded in each simulation. By increasing the number of agents the total average time stabilized approximately 25 seconds. Which represents an expressive result because the time for one vehicle to complete the maneuver is 4.6 seconds. The average speed was also approximately constant around 22 m/s, which represents a good result for the traffic flow. The highest speed exceeded 9 % which represents 2.70 m/s with the attenuation cost function. We can observe that the approach proved to be scalable since the analyzed data show stability by increasing the number of vehicles.
变道是交通中最常见的动作之一,至少有6万人因此受伤。这个问题通常是从自动化的角度来解决的,对于单个车辆使用路径规划和控制方法。然而,交通是一个多智能体系统,它可以使用通信技术以分散的方式执行协调机动。本文的目的是提出一个分散的讨价还价谈判过程,允许两个冲突的代理进行谈判。在协商过程中,agent计算速度变化建议并相互沟通,以最小的成本解决冲突。这使得代理打开安全距离间隙并进行机动。我们还提出了成本函数衰减,使代理在没有达成协议的情况下可以继续谈判,但对成本的影响较小。我们模拟了在限速为30 m/s的双车道高速公路上的相扑车道合并任务。我们最初模拟了2个代理,然后将代理的数量增加到26个。我们记录了车队执行车道合并任务的总平均时间、车队平均速度和每次模拟中超过限速的平均时间。通过增加代理的数量,总平均时间稳定在25秒左右。这代表了一个富有表现力的结果,因为一架飞行器完成机动的时间是4.6秒。平均速度也大致恒定在22米/秒左右,这对交通流来说是一个很好的结果。最高速度超过9%,衰减代价函数为2.70 m/s。我们可以观察到,该方法被证明是可扩展的,因为分析的数据通过增加车辆数量显示出稳定性。
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引用次数: 2
Neural Adaptive Integral-Sliding-Mode Controller with a SSVEP-based BCI for Exoskeletons 基于ssvep的外骨骼BCI神经自适应积分滑模控制器
Pub Date : 2019-12-01 DOI: 10.1109/ICAR46387.2019.8981615
A. Jebri, T. Madani, Karim D Djouani
This paper introduces a robust neural adaptive integral sliding mode controller with a SSVEP-based BCI for exoskeletons. A BCI is used to establish the desired trajectories by analyzing EEG signals. The neural networks are used to approximate nonlinear exoskeleton's dynamic. A sliding mode controller is added to guarantee the global asymptotic stability of the tracking trajectory and the neural network approximations. The controller's design is based on the hypothesis that only classical properties like boundedness of some parameters are known and all other functions are unknown. The closed-loop stability of the system is demonstrated using Lyapunov method. The effectiveness of the proposed approach is tested by an experiment application to rehabilitation context using an upper limb exoskeleton of 2-DOF.
介绍了一种基于ssvep的外骨骼鲁棒神经自适应积分滑模控制器。利用脑机接口(BCI)对脑电信号进行分析,建立所需的运动轨迹。利用神经网络对非线性外骨骼的动力学进行近似。为了保证跟踪轨迹和神经网络逼近的全局渐近稳定性,增加了滑模控制器。控制器的设计是基于这样的假设,即只有一些参数的有界性等经典性质是已知的,而所有其他函数都是未知的。利用李雅普诺夫方法证明了系统的闭环稳定性。采用2自由度上肢外骨骼进行康复实验,验证了该方法的有效性。
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引用次数: 3
Walking in the 2-Step Capture Region; pushes, ramps and speed modulation 2步捕获区行走;推,坡道和速度调节
Pub Date : 2019-12-01 DOI: 10.1109/ICAR46387.2019.8981616
Ivan Fischman Ekman Simões, A. Forner-Cordero
Herein a controller for biped robots that allows disturbance rejection and adaptability to different walking conditions is proposed. It is based on the Capture Point and N-Step Capturability theories, and is capable of speed modulation; including positive and negative velocities. The controller performance is accessed through simulations by disturbing a nominal gait with: impulsive and constant pushes, ascending and descending ramps, and a sinusoidal terrain. Finally, a discussion regarding the controller performance is presented.
在此基础上,提出了一种双足机器人控制器,该控制器既能抑制干扰,又能适应不同的行走条件。它基于捕获点和n步可捕获性理论,并且能够进行速度调制;包括正速度和负速度。控制器的性能是通过干扰一个名义步态的仿真来获得的:脉冲和恒定的推动,上升和下降的斜坡,以及正弦地形。最后,对控制器的性能进行了讨论。
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引用次数: 2
Outdoor Particle Filter Localization with Sparse Observation 基于稀疏观测的室外粒子滤波定位
Pub Date : 2019-12-01 DOI: 10.1109/ICAR46387.2019.8981650
Nils Einecke, A. Robert
Nowadays, autonomous lawn mowers are widely used in Europe. The robust autonomous operation and the ease of installation has lead to a substantial market share. Most autonomous lawn mowers move in a random fashion or with simple patterns because their self-localization capabilities are very limited. In this work, we analyze the potential of using apriori information about the shape of the boundary wire in combination with electromagnetic wire sensor readings for a particle-filter-based localization. In our experiments, this approach enables us to completely compensate for odometry drift. We achieve an accuracy of 20cm to 30cm in position and 3° in orientation for common garden sizes.
如今,自动割草机在欧洲被广泛使用。强大的自主操作和易于安装使其获得了可观的市场份额。大多数自动割草机以随机方式或简单模式移动,因为它们的自我定位能力非常有限。在这项工作中,我们分析了将关于边界线形状的先验信息与电磁线传感器读数相结合用于基于粒子滤波器的定位的潜力。在我们的实验中,这种方法使我们能够完全补偿里程计漂移。我们在位置上实现了20厘米到30厘米的精度,在普通花园尺寸上实现了3°的方向精度。
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引用次数: 0
期刊
2019 19th International Conference on Advanced Robotics (ICAR)
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