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2021 6th IEEE International Conference on Advanced Robotics and Mechatronics (ICARM)最新文献

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Optimal Capacity Allocation and Caching Strategy for Multi-UAV Collaborative Edge Caching 多无人机协同边缘缓存的最优容量分配与缓存策略
Pub Date : 2021-07-03 DOI: 10.1109/ICARM52023.2021.9536069
Chao Yao, Changkun Jiang, Zun Liu, Jie Chen, Jianqiang Li
UAVs-assisted content caching has emerged as a promising content delivery paradigm to effectively reduce the user equipments (UEs) access delay caused by the ever-increasing data traffic in current networks. Existing research on UAVs caching mainly focuses on stand-alone UAVs, without considering the complicated service interactions among UAVs in a cooperative manner. To this end, we focus on the UAVs collaborative edge caching scheme with one more link to retrieve the target files from one UAV to another. We propose a three-stage sequential optimization model to capture the complicated interactions involved in such a system. Specifically, in Stage I, we aim to maximize the benefit of the Internet Content Provider, by optimizing the number of UAVs and the cache capacity of UAVs to be deployed. In Stage II, given the UAVs’ deployment, we optimize the service scheduling for UAVs to balance the service energy and communication energy. In Stage III, we assign a caching strategy to maximize the number of UEs served by UAVs. Extensive simulation results show that our proposed collaborative edge caching model significantly outperforms existing edge caching strategies in terms of the number of UEs served by UAVs, the UAV cache hit rate, the average downloading latency, and the diversity of files.
无人机辅助内容缓存作为一种很有前途的内容传输模式,能够有效降低当前网络中由于数据流量不断增加而导致的用户设备访问延迟。现有的无人机缓存研究主要集中在单机无人机上,没有以协作的方式考虑无人机之间复杂的服务交互。为此,我们重点研究了无人机协同边缘缓存方案,该方案增加了一个链接,以便从一个无人机到另一个无人机检索目标文件。我们提出了一个三阶段的顺序优化模型,以捕获在这样一个系统中涉及的复杂的相互作用。具体来说,在第一阶段,我们的目标是通过优化无人机的数量和部署无人机的缓存容量,使互联网内容提供商的利益最大化。第二阶段,在无人机部署情况下,优化无人机服务调度,平衡服务能量和通信能量。在第三阶段,我们分配了一个缓存策略,以最大化无人机服务的ue数量。大量的仿真结果表明,我们提出的协同边缘缓存模型在无人机服务的ue数量、无人机缓存命中率、平均下载延迟和文件多样性方面显著优于现有的边缘缓存策略。
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引用次数: 1
Multi-objective Parameters Optimization Design of a Novel 3-DOF Parallel Robot 新型三自由度并联机器人多目标参数优化设计
Pub Date : 2021-07-03 DOI: 10.1109/ICARM52023.2021.9536135
Zhiyong Zhou, Bin Li, Qi Li, Yuan Zhang
Under the same workspace, the different structural parameters of parallel mechanism will lead to different mechanism performances. Therefore, obtaining the optimal structural parameters of parallel mechanism is an important guarantee for mechanism performance. To address this problem, a new 3-DOF 2-RRU&RSR parallel robot is selected as the research object. Firstly, the parameter modeling is carried out and imported into ADAMS. Secondly, several important parameters of the parallel robot are selected as design variables for design and research. The trajectories and loads of the moving platform end of the parallel robot are limited, and the effects of various parameters on the quality, transfer efficiency, total kinetic energy consumption and input angular amplitude of the parallel robot are obtained. Finally, multiple objectives are synthesized into a total objective function by the weighting factor method. Based on the design research, the four important parameters are used as design variables to optimize the design, and an optimal solution that weighs multiple objectives is obtained, so that the parallel robot obtains Lightweight design and performance improvement.
在相同工作空间下,并联机构的不同结构参数会导致机构性能的不同。因此,获得并联机构的最优结构参数是机构性能的重要保证。为了解决这一问题,本文选择了一种新型的3-DOF 2-RRU&RSR并联机器人作为研究对象。首先,进行参数建模并导入ADAMS;其次,选取并联机器人的几个重要参数作为设计变量进行设计研究。对并联机器人运动平台端的运动轨迹和载荷进行了限制,得到了各参数对并联机器人质量、传递效率、总动能消耗和输入角幅的影响。最后,通过加权因子法将多个目标合成为一个总目标函数。在设计研究的基础上,将这四个重要参数作为设计变量进行优化设计,得到了多目标加权的最优解,使并联机器人获得轻量化设计和性能提升。
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引用次数: 0
Robust Event-Triggered Formation Control for Underactuated Ships Under the Practice Constraint* 实践约束下欠驱动船舶的鲁棒事件触发编队控制*
Pub Date : 2021-07-03 DOI: 10.1109/ICARM52023.2021.9536099
Shang Liu, Guoqing Zhang, B. Li, Xianku Zhang
This article mainly concentrates on the formation control issue for the under-actuated ship with the consideration of ocean practice, i.e., the waypoints-based predefined route and the restricted communication resource. With the improved logical virtual ship (LVS) guidance algorithm, the formation can sail along the smoothed waypoint-based route under the ocean environment. For merit of the event-triggered strategy, the control commands (i.e., the engine speed and the rudder angle) are updated only when necessary, and that can reduce the communication load of the communication channels between the controller and actuators. Besides, by employing the neural damping method, system uncertain terms can be remodeled and only two relevant adaptive learning parameters are required to be updated online, thus avoiding the updating of numerous neural networks weights. Finally, by the Lyapunov analysis, all tracking errors in the formation system can be guaranteed the semi-globally uniformly ultimately bounded (SGUUB) convergence. The digital simulated experiment can verify the effectiveness and superiority of our control algorithm.
本文主要研究基于航路点的预定义航路和有限通信资源的欠驱动船舶编队控制问题。利用改进的逻辑虚拟船(LVS)制导算法,编队可以在海洋环境下沿光滑的基于航路点的航线航行。由于事件触发策略的优点,控制命令(即发动机转速和舵角)只在必要时更新,这可以减少控制器和执行器之间通信通道的通信负载。此外,采用神经阻尼方法可以对系统的不确定项进行重构,只需要在线更新两个相关的自适应学习参数,从而避免了大量神经网络权值的更新。最后,通过Lyapunov分析,可以保证编队系统的所有跟踪误差都是半全局一致最终有界(SGUUB)收敛。数字仿真实验验证了该控制算法的有效性和优越性。
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引用次数: 1
Structure Configuration of a Manipulator for Internal Bracing Grasping of the Fragile Thin-Walled Cylindrical Inner Wall Parts 易碎薄壁圆柱形内壁件内支撑抓取机械手的结构构型
Pub Date : 2021-07-03 DOI: 10.1109/ICARM52023.2021.9536169
Liangwen Wang, Shizhao Zhang, Ruolan Wang, Jie Liu, Yangguang Kong, Xuling Liu, Junlong Liu
Taking the production process requirements of the pyrophyllite block as an example, which is raw material for the synthetic diamond. The manipulator with internal bracing grasping and pressing assembly for the fragile thin-walled cylindrical inner wall parts is designed, which can complete the grasping and assembling parts operation in a narrow space by a combination of the fingers and palm. In order to find the general structure and grasping law of the grasping manipulator suitable for the fragile thin-walled cylindrical inner wall parts, based on the introduction of the overall structure of the manipulator, the conditions of grasping and transferring fragile parts stably, the restrictions of cylinder driving force, and the different structure types of driving finger motion are discussed in detail in this paper. The grasping and assembling process of actual manipulator is taken as an example to verify our design. The research in this paper is beneficial to improve the design theory of the manipulator system with special functions.
以人造金刚石原料叶蜡石块的生产工艺要求为例。设计了一种易碎薄壁圆柱形内壁件内撑式抓合装配机械手,通过手指和手掌的结合,可以在狭小的空间内完成抓合零件操作。为了找到适用于易碎薄壁圆柱形内壁零件的抓取机械手的总体结构和抓取规律,本文在介绍机械手整体结构的基础上,对易碎零件稳定抓取和传递的条件、气缸驱动力的限制以及驱动手指运动的不同结构类型进行了详细的讨论。以实际机械手的抓取和装配过程为例,验证了我们的设计。本文的研究有助于完善具有特殊功能的机械手系统的设计理论。
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引用次数: 1
Copyright Page 版权页
Pub Date : 2021-07-03 DOI: 10.1109/ICARM52023.2021.9536097
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引用次数: 0
Learning to Predict Action Based on B-ultrasound Image Information 基于b超图像信息的动作预测学习
Pub Date : 2021-07-03 DOI: 10.1109/ICARM52023.2021.9536054
Yiwen Chen, Chenguang Yang, Miao Li, Shi‐Lu Dai
In the medical field, B-ultrasound is an important way to diagnose diseases. However, due to the lack of professional sonographers, patients have to queue for a long time for examination. Or due to some easily contagious diseases, sonographers cannot directly contact the patient for examination. Therefore, it is necessary to use robotic arms to perform automated B-ultrasound examinations on patients. In our work, the strategy of how to move the probe to detect the kidney is studied. The sonographer is required to hold a special probe instrument to collect the demonstration data, including the B-ultrasound image, as well as the posture and force information of the probe. Then, we leverage the data learning to realize the guidance of the B-ultrasound probe action. In this paper, supervised learning is firstly used to predict actions according image inputs. In other words, the supervised network is input with the B-ultrasound image and output posture and force that the probe should reach at the next moment. Based on the supervised learning, an actor-critic reinforcement learning algorithm that uses asymmetrical data is proposed to improve the utilization of data and enhance the generalization of neural networks.
在医学领域,b超是诊断疾病的重要手段。然而,由于缺乏专业的超声检查人员,患者不得不排很长时间的队进行检查。或者由于某些容易传染的疾病,超声检查人员不能直接接触患者进行检查。因此,有必要使用机械臂对患者进行自动b超检查。在我们的工作中,研究了如何移动探针来检测肾脏的策略。超声医师需要手持特殊的探头仪器采集演示数据,包括b超图像,以及探头的姿态和受力信息。然后,利用数据学习实现对b超探头动作的引导。本文首先将监督学习用于根据图像输入预测动作。换句话说,监督网络输入的是b超图像,输出的是探测器下一时刻应该到达的姿态和力。在监督学习的基础上,提出了一种使用非对称数据的行为者-批评强化学习算法,以提高数据利用率,增强神经网络的泛化能力。
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引用次数: 1
Distributed Cooperative Control of Vehicle Platoon Based on a Composite Safety Distance 基于复合安全距离的车辆队列分布式协同控制
Pub Date : 2021-07-03 DOI: 10.1109/ICARM52023.2021.9536065
C. Fang, Jinyong Shangguan, Hao Li, M. Yue
A distributed cooperative control of the vehicle platoon is proposed in this study based on a composite safety distance model under highway condition. To begin with, a supervisor controller, combining the dominant superiorities between the constant time headway and the improved driver-preview safety distance models, is designed to ensure the safety of the vehicle platoon under the complex highway condition. Afterwards, model predictive control method is employed to design the lateral controller of each individual vehicle, which can achieve the satisfactory tracking performance of the vehicle posture due to its multi-constraint processing and rolling optimization advantages. Meanwhile, sliding mode control method is applied in the velocity controller of each individual vehicle because of its numerous merits, such as fast convergence and strong robustness, to ensure safety distance maintenance. In the end, the effectiveness of the proposed method is verified under the Matlab/Simulink environment.
本文提出了一种基于复合安全距离模型的公路条件下车辆排的分布式协同控制方法。首先,结合恒车头时距和改进的驾驶员-预瞄安全距离模型的优势,设计了一种监督控制器,以保证复杂公路条件下车辆排的安全。然后,采用模型预测控制方法对每辆车的横向控制器进行设计,该控制器由于具有多约束处理和滚动优化的优点,能够获得满意的车辆姿态跟踪性能。同时,滑模控制方法由于收敛速度快、鲁棒性强等优点,被应用于每辆车的速度控制中,以保证安全距离保持。最后,在Matlab/Simulink环境下验证了所提方法的有效性。
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引用次数: 2
Active Learning Strategy of Finger Flexion Tracking using sEMG for Robot Hand Control 基于表面肌电信号的机器人手指屈曲跟踪主动学习策略
Pub Date : 2021-07-03 DOI: 10.1109/ICARM52023.2021.9536163
Wen Qi, Hang Su, Junhao Zhang, R. Song, G. Ferrigno, E. De Momi, A. Aliverti
Capturing biosignals from wearable devices is widely applied in the human-robot interaction (HRI) area. For example, surface electromyography (sEMG) signals are always adopted to track finger flexion for hand robot control. However, it is difficult to extract features from the weak sEMG signals with several noises. The existing regression model cannot be dealing with changes in real robot control scenarios. This paper proposed an sEMG based finger flexion tracking framework for robot hand control using the active learning strategy. It consists of an offline regression model and an online model updating module—the former aims to build the regression model based on the processed sEMG and finger angles. The latter is to update the model when it gets a trigger. The comparison results prove the performance of the active learning strategy in the online scenario. By comparing the overall updating times and errors, the decision tree method saves more computational time. At the same time, Gaussian regression obtains a higher accuracy.
从可穿戴设备获取生物信号在人机交互(HRI)领域有着广泛的应用。例如,在手部机器人控制中,通常采用表面肌电(sEMG)信号跟踪手指屈曲。然而,从含有多种噪声的弱表面肌电信号中提取特征是很困难的。现有的回归模型不能处理真实机器人控制场景的变化。采用主动学习策略,提出了一种基于表面肌电信号的手指屈曲跟踪框架。它由离线回归模型和在线模型更新模块组成,离线模型更新模块是基于处理后的表面肌电信号和手指角度建立回归模型。后者是在得到触发器时更新模型。对比结果证明了主动学习策略在在线场景下的性能。通过对总体更新时间和误差的比较,决策树方法节省了更多的计算时间。同时,高斯回归得到了更高的精度。
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引用次数: 2
A Swing-foot Trajectory Generation Method For Biped Walking* 一种两足行走摆动足轨迹生成方法*
Pub Date : 2021-07-03 DOI: 10.1109/ICARM52023.2021.9536057
Huanzhong Chen, Xuechao Chen, Zhangguo Yu, Chencheng Dong, Qingqing Li, Runming Zhang, Qiang Huang
Pattern generation is the basis of balanced motion for biped robots, especially when highly dynamic motions are desired. For fast walking, convention pattern generation based on LIPM (linear inverted pendulum model) alone can’t guarantee balance of the robot, while pattern generation based on full-body dynamics takes a lot of time. This paper proposes a swing-foot trajectory generation method for biped walking, which aims to minimize the velocity and acceleration of swing leg. Experiment showed that biped walking of 4km/h can be achieved with optimized swing-foot trajectory.
模式生成是双足机器人平衡运动的基础,特别是在需要高动态运动的情况下。对于快速行走,仅基于线性倒立摆模型的常规模式生成不能保证机器人的平衡,而基于全身动力学的模式生成耗时较长。提出了一种以摆动腿速度和加速度最小为目标的两足步行摆动脚轨迹生成方法。实验表明,优化后的摆脚轨迹可使两足行走速度达到4km/h。
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引用次数: 1
A Unified Control Framework for High-Dynamic Motions of Biped Robots 双足机器人高动态运动的统一控制框架
Pub Date : 2021-07-03 DOI: 10.1109/ICARM52023.2021.9536066
Chencheng Dong, Xuechao Chen, Zhangguo Yu, Yuanxi Zhang, Huanzhong Chen, Qingqing Li, Qiang Huang
To give the biped robots a faster locomotion and better obstacle passing performance, high-dynamic motions are important. However, the instabilities and the huge impact result from the high-dynamic motions are remained challenges for the control. In this paper, a complete control framework is proposed, unifying all the controllers by the essential idea of contact force and torque control. The control framework is divided into two phases: The support phase control, which including the posture controller, the zero-moment-point controller and the threshold-added-torso-position-compliance controller; The flying phase control, which including the swing leg controller and the step position controller. To obtain a better performance for the contact force and torque control, a novel contact torque controller and a collision absorbing controller are proposed. The control framework is validated with experiments of the biped robot BHR-T performing running and jumping motions.
为了使双足机器人具有更快的运动速度和更好的过障性能,高动态运动至关重要。然而,高动态运动的不稳定性和巨大的冲击仍然是控制的挑战。本文提出了一个完整的控制框架,以接触力和转矩控制的基本思想统一所有控制器。控制框架分为两个阶段:支持阶段控制,包括姿态控制器、零矩点控制器和阈值附加-躯干-位置顺应控制器;飞行相位控制包括摆腿控制器和步进位置控制器。为了获得更好的接触力和转矩控制性能,提出了一种新型的接触转矩控制器和碰撞吸收控制器。通过双足机器人BHR-T的跑跳实验,验证了该控制框架的有效性。
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引用次数: 3
期刊
2021 6th IEEE International Conference on Advanced Robotics and Mechatronics (ICARM)
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