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2017 17th International Conference on Control, Automation and Systems (ICCAS)最新文献

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Jumping pattern generation for one-legged jumping robot 单腿跳跃机器人的跳跃模式生成
Pub Date : 2017-12-13 DOI: 10.23919/ICCAS.2017.8204211
A. Umehara, Yuya Yamamoto, Haruyoshi Nishi, A. Takanishi, Hun-ok Lim
This paper describes a one-legged robot capable of jumping that consists of a waist, thigh, a shin, and foot. The jumping robot's height is 1200 [mm], and its weight is 90 [kg]. Two kinds of pneumatic artificial muscle, the mono-articular muscle and the bi-articular muscle are installed. Also, the jumping pattern that is composed of an air-supplying and an air-exhausting pattern of the pneumatic actuator is discussed. The jumping pattern is generated offline taking into account actuator dynamics. A jumping experiment was conducted, and the effectiveness of the mechanism and jumping pattern was verified.
本文描述了一种由腰部、大腿、小腿和脚组成的单腿跳跃机器人。该跳跃机器人的高度为1200 [mm],重量为90 [kg]。气动人工肌肉分为单关节肌肉和双关节肌肉两种。此外,还讨论了由气动执行器的供气和排气模式组成的跳跃模式。在考虑致动器动力学的情况下,离线生成跳跃模式。进行了跳跃实验,验证了该机制和跳跃模式的有效性。
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引用次数: 1
A study of eye contact for tabletop robot 桌面机器人眼神接触的研究
Pub Date : 2017-12-13 DOI: 10.23919/ICCAS.2017.8204253
Y. Nozaki, T. Yoshimi, K. Takeuchi
The purpose of this study is to investigate how humans feel about the eye contact by robots, especially non-human shaped tabletop robots. The robot detects human's face by color detection and moves its eyes to follow it. Most people feel good and are interested in this kind of robot. However, some people got scared them. In this paper, we describe the evaluation results of our eye contact robot through experiments.
本研究的目的是调查人类对机器人,特别是非人形桌面机器人的眼神交流的感受。机器人通过颜色检测来识别人脸,并移动眼睛跟随人脸。大多数人感觉良好,并对这种机器人感兴趣。然而,有些人吓到了他们。在本文中,我们通过实验描述了我们的眼神接触机器人的评估结果。
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引用次数: 0
Effects of a soft wearable robotic suit on metabolic cost and gait characteristics in healthy young subjects 柔性可穿戴机器人套装对健康青年受试者代谢成本和步态特征的影响
Pub Date : 2017-12-13 DOI: 10.23919/ICCAS.2017.8204315
Shanhai Jin, Shijie Guo, Kazunobu Hashimoto, Motoji Yamamoto
This paper experimentally evaluates the effects of a soft wearable robotic suit, which is developed for energy-efficient walking in daily activities, in healthy subjects. The robotic suit provides a small but effective assistance for hip flexion. Moreover, it is lightweight and it does not restrict the motion range of the lower limbs. Experimental results on two healthy subjects show that the robotic suit worn and powered on (PON) reduced oxygen uptake by an average of 3.6 % compared with the condition of worn but powered off (POFF). Moreover, compared with the POFF condition, walk ratio was improved by an average of 2.6 % in the PON condition.
本文实验评估了一种柔性可穿戴机器人套装的效果,该套装是为健康受试者在日常活动中节能行走而开发的。机器人套装为髋部屈曲提供了一个小而有效的辅助。此外,它重量轻,不限制下肢的活动范围。在两名健康受试者身上进行的实验结果表明,穿着并通电的机器人服(PON)与穿着但不通电的机器人服(POFF)相比,平均减少了3.6%的摄氧量。此外,与POFF条件相比,PON条件下的步行率平均提高了2.6%。
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引用次数: 3
Radial basis function neural network based PID control for quad-rotor flying robot 基于径向基函数神经网络的四旋翼飞行器PID控制
Pub Date : 2017-12-13 DOI: 10.23919/ICCAS.2017.8204300
S. Furukawa, S. Kondo, A. Takanishi, Hun-ok Lim
It is difficult for flying robots with a conventional PID controller to fly stably with external disturbances such as wind. Thus, a flight control method that can change the control parameters of a conventional PID controller according to the external disturbances is described in this paper. The control parameters of the PID controller are automatically adjusted based on a radial basis function neural network (RBFNN). The experimental results show that the control method is capable of effectively dealing with external disturbances.
采用传统PID控制的飞行机器人难以在风等外界干扰下稳定飞行。因此,本文提出了一种能够根据外界扰动改变常规PID控制器控制参数的飞行控制方法。基于径向基函数神经网络(RBFNN)自动调整PID控制器的控制参数。实验结果表明,该控制方法能够有效地处理外部干扰。
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引用次数: 6
Multi-objective optimal operation with demand management and voltage stability 具有需求管理和电压稳定的多目标优化运行
Pub Date : 2017-10-18 DOI: 10.23919/ICCAS.2017.8204470
Masahiro Furukakoi, Mohammad Masih Sediqi, S. Chakraborty, M. Hassan, T. Senjyu
Due to the electric power liberalization, many power producers are entering into the deregulated power market. Most of the electrical power companies are introducing Renewable Energy Sources (RES), which will increase the power system uncertainty. Consequently, the underlyng uncertainty imposed by RES will increase the likelihood of voltage instability and voltage collapse. Also, fluctuations in supply and demand are increased by the introduction of renewable energies. On the other hand, Demand Response Program (DRP) is one of the potential solutions that reduces the power fluctuations. In this study, we proposed multi-objective optimal operation based Unit Commitment (UC) considering voltage stability and demand response. The effectiveness of the proposed method is verified by simulation results using the MATLAB.
由于电力自由化,许多电力生产商正在进入解除管制的电力市场。大多数电力公司都在引进可再生能源(RES),这将增加电力系统的不确定性。因此,RES带来的潜在不确定性将增加电压不稳定和电压崩溃的可能性。此外,由于采用可再生能源,供需波动加剧。另一方面,需求响应计划(DRP)是减少电力波动的潜在解决方案之一。在本研究中,我们提出了考虑电压稳定性和需求响应的基于多目标优化运行的机组承诺(UC)。仿真结果验证了该方法的有效性。
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引用次数: 2
Towards training an agent in augmented reality world with reinforcement learning 用强化学习训练增强现实世界中的智能体
Pub Date : 2017-10-01 DOI: 10.23919/ICCAS.2017.8204283
V. V. R. M. K. Muvva, Naresh Adhikari, Amrita Ghimire
Reinforcement learning (RL) helps an agent to learn an optimal path within a specific environment while maximizing its performance. Reinforcement learning (RL) plays a crucial role on training an agent to accomplish a specific job in an environment. To train an agent an optimal policy, the robot must go through intensive training which is not cost-effective in the real-world. A cost-effective solution is required for training an agent by using a virtual environment so that the agent learns an optimal policy, which can be used in virtual as well as real environment for reaching the goal state. In this paper, a new method is purposed to train a physical robot to evade mix of physical and virtual obstacles to reach a desired goal state using optimal policy obtained by training the robot in an augmented reality (AR) world with one of the active reinforcement learning (RL) techniques, known as Q-learning.
强化学习(RL)帮助智能体在特定环境中学习最优路径,同时最大化其性能。强化学习(RL)在训练智能体在特定环境中完成特定工作方面起着至关重要的作用。为了训练智能体的最优策略,机器人必须经过密集的训练,这在现实世界中是不划算的。利用虚拟环境训练智能体需要一种经济有效的解决方案,使智能体学习到最优策略,该策略可以在虚拟环境和真实环境中使用,以达到目标状态。本文提出了一种新的方法,通过在增强现实(AR)世界中使用一种被称为q学习的主动强化学习(RL)技术来训练物理机器人,使其避开物理和虚拟的混合障碍物,从而达到理想的目标状态。
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引用次数: 2
Supervisory optimization of the MGT-CCHP system using model predictive control 基于模型预测控制的MGT-CCHP系统监控优化
Pub Date : 2017-10-01 DOI: 10.23919/ICCAS.2017.8204341
Yi Zhang, Fan Zhang, Xiao Wu, Junli Zhang, Li Sun, Jiong Shen
This paper proposes a supervisory optimal control structure for the micro-gas-turbine based combined cooling heating and power (MGT-CCHP) system. In the upper layer of the structure, a dynamic optimal reference governor is developed to calculate the optimal operating points according to the given economic performance indexes, and in the lower layer of the structure, model predictive control is utilized to track the given operating points, so that a dynamic optimality can be achieved under the input-output constraints during the optimization. Moreover, a disturbance term is introduced in the model to lump the effect of unmeasured disturbances and plant behavior variations, thus, their influences on the supervisory optimization can be removed. The advantages and effectiveness of the proposed method are demonstrated through the simulations on an 80kW MGT-CCHP simulator.
提出了一种基于微型燃气轮机的冷热电联产(MGT-CCHP)系统的监督优化控制结构。结构上层采用动态最优参考调速器根据给定的经济性能指标计算最优工作点,下层采用模型预测控制对给定工作点进行跟踪,使优化过程在输入输出约束下实现动态最优。此外,在模型中引入干扰项,将未测量的干扰和植物行为变化的影响合并在一起,从而消除了它们对监督优化的影响。通过在80kW MGT-CCHP模拟器上的仿真,验证了该方法的优越性和有效性。
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引用次数: 2
Development of rehabilitation device for standing position weight bearing exercise using Wii balance board Wii平衡板站立式负重运动康复装置的研制
Pub Date : 2017-10-01 DOI: 10.23919/ICCAS.2017.8204227
Yuken Kanemaru, Y. Kamiya, T. Shimokawa, H. Umezaki, T. Sakaki
Partial weight-bearing exercise is widely used in rehabilitation for patients with lower limb injuries. It is intended to help patients learn to what degree they can bear weight on the affected limb. General weight scales are widely used for this exercise to measure weight-bearing. These are easy to introduce, but involve some problems. One is that patients cannot easily read the scale to calculate weight-bearing rate. The purpose of this study is to develop a rehabilitation device to address this problem. The device combines the Nintendo Wii Balance BoardTM and a PC. It allows patients to observe the display unit while the device automatically calculates weight-bearing rate. In addition, patients can enjoy exercise with the Game Mode.
部分负重运动在下肢损伤患者康复中应用广泛。它的目的是帮助患者了解他们在多大程度上可以承受患肢的重量。一般的体重秤被广泛用于这项运动来测量负重。这些都很容易介绍,但涉及一些问题。一是患者不容易阅读体重秤来计算负重率。本研究的目的是开发一种康复装置来解决这一问题。该设备结合了任天堂Wii平衡板tm和PC。它允许患者观察显示单元,同时设备自动计算承重率。此外,患者还可以通过游戏模式享受锻炼。
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引用次数: 0
Design of a haptic walker system based on cable driven actuator for lower limb rehabilitation 基于电缆驱动作动器的下肢康复触觉行走系统设计
Pub Date : 2017-10-01 DOI: 10.23919/ICCAS.2017.8204274
Hosu Lee, M. R. Afzal, Jungwon Yoon
In recent years, several robotic devices have been developed for lower limb rehabilitation. However, the post-training functional improvements in gait abilities after using those devices are reported to be either similar to conventional rehabilitation therapy or even lower in some cases. Meanwhile, those existing devices have several drawbacks such as heavy, complex mechanisms, expensive, restriction of mobility. Thus, this paper suggests a system which can help to realize lower limb joint torque on real ground without restriction of mobility. A walker combined with wire driven actuation of lower limb is proposed. The advantages of the proposed system are that the system is lightweight, easy to wear, can be implemented with simplistic control scheme and provides walking experience on the actual ground. In this paper, we have presented the design of the proposed device and performed analysis of its dynamics by using ADAMS® to assess its actuation. In future work the optimization of the design and fabrication of the system will be carried out.
近年来,已经开发了几种用于下肢康复的机器人装置。然而,据报道,在使用这些设备后,步态能力的训练后功能改善要么与传统康复治疗相似,要么在某些情况下甚至更低。同时,这些现有的设备也存在着笨重、机构复杂、价格昂贵、移动性受限等缺点。因此,本文提出了一种能够在不限制活动的情况下,在真实地面上实现下肢关节扭矩的系统。提出了一种基于线驱动的下肢步行器。该系统的优点是系统重量轻,易于磨损,可以用简单的控制方案实现,并提供实际地面行走体验。在本文中,我们介绍了所提出的装置的设计,并通过使用ADAMS®评估其驱动进行了动力学分析。在今后的工作中,将对系统的设计和制造进行优化。
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引用次数: 1
Clustering wear particle using computer vision and self-organizing maps 利用计算机视觉和自组织图聚类磨损粒子
Pub Date : 2017-10-01 DOI: 10.23919/ICCAS.2017.8204414
M. A. C. Ramos, B. C. C. Leme, L. F. D. de Almeida, F. C. P. Bizarria, J. W. P. Bizarria
This work presents the implementation of a method for classification of wear particle contaminant present in industrial oil by using image processing and neural networks. It is based on morphological data obtained from a computer vision system and employs Self-Organizing Maps to classify particles' features intro different wear debris groups. The dataset used for training the neural network and further validation of the results was gathered using reports provided by a specialist company in wear particle analysis. The objective is to develop a system feasible for most industries to turn the process of particle classification more autonomous and faster. The results demonstrate that our proposed system could classify particles considering their shape in a reliable and autonomous way.
这项工作提出了一种方法的实现,用于分类磨损颗粒污染物存在于工业油中使用图像处理和神经网络。该方法基于计算机视觉系统获得的形态数据,利用自组织图(Self-Organizing Maps)对不同磨屑组的颗粒特征进行分类。用于训练神经网络和进一步验证结果的数据集是使用磨损颗粒分析专业公司提供的报告收集的。目标是开发一种适用于大多数行业的系统,使颗粒分类过程更加自主和快速。结果表明,我们提出的系统可以可靠、自主地根据粒子的形状对其进行分类。
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引用次数: 1
期刊
2017 17th International Conference on Control, Automation and Systems (ICCAS)
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