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

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Design of the Self-adaptive Robot Finger Triggered by Light Pression with Cooperative Assistant
Pub Date : 2021-07-03 DOI: 10.1109/ICARM52023.2021.9536192
He Zhao, Wenzeng Zhang, Weiguo Li
This paper proposes an electronic trigger assisted coupled and self-adaptive finger, LPCA finger. LPCA finger is provided with two joints, two motors, two sensors and a control module, which realizes coupling during the startup phase of grabbing and self-adaptive in the next stage. According to its self-adaptive characteristics, the device can grasp the target of uncertain size and type. The pressure sensor is used to collect the information of the object contacted by the phalanges, and the second motor can be triggered to cooperate with the assistance of self-adaptive grasping with only a small extrusion pressure to avoid the damage caused by excessive extrusion pressure on the object caused by the proximal phalange in the grasping process. The finger end grasping force is large and the structure is simple. This paper introduces the design of LPCA finger, and gives the force analysis of finger. Force analysis and experiments indicate that LPCA finger possess coupled and self-adaptive function and its end grasping is stable.
提出了一种电子触发辅助的耦合自适应手指——LPCA手指。LPCA手指具有两个关节、两个电机、两个传感器和一个控制模块,在抓取启动阶段实现耦合,下一阶段实现自适应。根据其自适应特性,该装置可以对不确定大小和类型的目标进行抓取。压力传感器用于采集指骨接触物体的信息,只需很小的挤压压力即可触发第二电机配合辅助自适应抓取,避免近端指骨在抓取过程中挤压压力过大对物体造成损伤。指端抓握力大,结构简单。本文介绍了LPCA手指的设计,并对手指进行了受力分析。力分析和实验表明,LPCA手指具有耦合自适应功能,末端抓取稳定。
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引用次数: 0
Musculoskeletal Robot with Motor Driven Artificial Muscle 带有马达驱动的人造肌肉的肌肉骨骼机器人
Pub Date : 2021-07-03 DOI: 10.1109/ICARM52023.2021.9536050
Jianbo Yuan, Yaxiong Wu, Boxing Wang, Hong Qiao
Compared with the conventional articulated robotic arm, human arm has an irreplaceable advantage in manipulation due to its better robustness and flexibility. However, many mechanisms of the musculoskeletal system have not been fully verified, such as robustness, compliance, dexterity, and so on. In this work, we build a musculoskeletal robot of two muscles and a single joint based on the new artificial muscle module of motor drive and cord traction. Subsequently, a muscle control method is proposed with feedforward friction compensation for model errors. Various experiments are carried out to evaluate the basic performance of the proposed musculoskeletal robot and the controller. The friction experiments show that the average error of actual muscle force be of 5% after friction compensation. The trajectory tracking experiment is carried out, proving that the average error of muscle force and joint angle are less than 3N and 3°, respectively. This work provides a hardware basis for future verification of the advantages of the musculoskeletal system. It will promote the development of manufacturing and daily service of anthropomimetic robotics in the near future.
与传统的关节式机械臂相比,人臂具有更好的鲁棒性和灵活性,在操作上具有不可替代的优势。然而,肌肉骨骼系统的许多机制尚未得到充分验证,如鲁棒性、顺应性、灵巧性等。在本研究中,我们基于电机驱动和绳索牵引的新型人工肌肉模块,构建了一个双肌肉单关节的肌肉骨骼机器人。随后,提出了一种采用前馈摩擦补偿模型误差的肌肉控制方法。进行了各种实验来评估所提出的肌肉骨骼机器人和控制器的基本性能。摩擦实验表明,经过摩擦补偿后,实际肌肉力的平均误差为5%。进行了轨迹跟踪实验,验证了肌肉力和关节角的平均误差分别小于3N和3°。这项工作为将来验证肌肉骨骼系统的优势提供了硬件基础。它将在不久的将来推动仿生机器人在制造业和日常服务领域的发展。
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引用次数: 4
Mechanism Design of an Extraterrestrial Regolith-boring Robot 地外风化层钻孔机器人机构设计
Pub Date : 2021-07-03 DOI: 10.1109/ICARM52023.2021.9536139
Yinliang Zhang, Hongyu Wei, Tao Zhang, Haifei Zhu, Y. Guan, Xilun Ding, X. Hou
Penetrating planetary subsurface regolith is extremely significant to explore the secrets insight extraterrestrial planets. The concept considerations and mechanism design of a planetary regolith-boring robot were proposed in this work. The robot has two degrees of freedom, including a rotational cutting head to break regolith and a penetration mechanism to move the robot along the drilled borehole. The serrated cutters are designed on the cutter head to improve the adaptability of regolith with different strengths, and high-pressure pneumatic gas is utilized to remove drilled cuttings. The penetration mechanism relies on the friction force with the borehole to provide torque balance generated by the rotational cutting movement and achieve downward penetration.
穿透行星地下风化层对于探索地外行星的奥秘具有极其重要的意义。提出了行星钻壳机器人的概念考虑和机构设计。该机器人具有两个自由度,包括一个旋转切割头,用于破碎风化层和一个穿透机构,用于沿着所钻的钻孔移动机器人。在刀头上设计了锯齿形刀具,提高了对不同强度风土的适应性,并采用高压气动气体去除钻屑。贯入机构依靠与井眼的摩擦力提供旋转切削运动产生的扭矩平衡,实现向下贯入。
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引用次数: 1
Deep Learning Based Video Super-Resolution and its Application in Video Conferences 基于深度学习的视频超分辨率及其在视频会议中的应用
Pub Date : 2021-07-03 DOI: 10.1109/ICARM52023.2021.9536106
Yinyan Lin, Chaoyang Zou, Yingjie Feng, Mingwei Liang
As a remote communication method, remote video scene is widely used in some occasions such as telecommuting, telelearning, and teleconsultation. However, the remote video scene requires a large network bandwidth for image information transmission, resulting in the insufficient real-time performance. In this paper, applying the super-resolution image restoration method to a remote video scene only requires 1/16 of the original network bandwidth, but a good visual effect of image reconstruction can be obtained. The Enhanced Information Multi-Distillation Block (EIMDB) and the Pixel-Level Information Distillation Block (PIDB) are proposed, which can improve the super-resolution effect of the image with a small amount of calculation. Finally, a novel real-time remote video communication super-resolution network (RVCSRN) is proposed which achieves a good balance between speed and restoration effect, and can effectively improve the visual effect of the remote video scene. In addition, since the pictures processed in the remote video scene are different from those processed by the general super-resolution method, these pictures have a compression loss, so a remote video scene dataset (RVSet) is created to obtain a better super-resolution effect.
远程视频场景作为一种远程通信方式,广泛应用于远程办公、远程学习、远程会诊等场合。然而,远程视频场景需要很大的网络带宽来传输图像信息,导致实时性不足。本文将超分辨率图像恢复方法应用于远程视频场景,所需网络带宽仅为原网络带宽的1/16,却能获得良好的图像重建视觉效果。提出了增强信息多蒸馏块(Enhanced Information Multi-Distillation Block, EIMDB)和像素级信息蒸馏块(Pixel-Level Information Distillation Block, PIDB),以较少的计算量提高图像的超分辨率效果。最后,提出了一种新型的实时远程视频通信超分辨率网络(RVCSRN),该网络在速度和恢复效果之间取得了很好的平衡,可以有效地改善远程视频场景的视觉效果。此外,由于远程视频场景处理的图像与一般超分辨率方法处理的图像不同,这些图像存在压缩损失,因此创建远程视频场景数据集(RVSet)以获得更好的超分辨率效果。
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引用次数: 1
Iterative Learning Control of Impedance Parameters for a Soft Exosuit 柔性外露服阻抗参数的迭代学习控制
Pub Date : 2021-07-03 DOI: 10.1109/ICARM52023.2021.9536162
Xiang Li, Qinjian Li, H. Xia, Ying Feng, Zhijun Li
In this paper, the human ankle impedance information will be added into the human-exosuit dynamic model, and then a human-in-the-loop control of soft exosuit is designed to provide plantar flexion assistance. The gradient-following and betterment schemes are employed to obtain a desired impedance model. The scheme can provide an auxiliary force for the ankle to push off the ground in the variable human-exsosuit dynamic interaction. When the subject wears the exosuit and walks on the ground, this iterative learning method can be used to give the exoskeleton the human-like process learning skills, so that it can automatically adapt to the forces and instabilities of the surrounding environment. The effectiveness and stability of the control scheme are verified by experiments on different subjects. Results show that a desired interaction performance can be achieved by learning impedance parameters, indicating our proposed method has potential to facilitating exosuit control.
本文将人体踝关节阻抗信息加入到人体-外骨骼动力学模型中,设计一种辅助足底屈曲的柔性外骨骼人在环控制。采用梯度跟踪和改进方法得到理想的阻抗模型。该方案可为踝关节在多变的人-穿-服动态交互作用中提供离地的辅助力。当受试者穿着外骨骼在地面行走时,这种迭代学习方法可以赋予外骨骼类似人类的过程学习技能,使其能够自动适应周围环境的力量和不稳定性。通过不同主体的实验验证了该控制方案的有效性和稳定性。结果表明,通过学习阻抗参数可以获得理想的交互性能,表明我们提出的方法具有促进外露服控制的潜力。
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引用次数: 1
Title Page 标题页
Pub Date : 2021-07-03 DOI: 10.1109/ICARM52023.2021.9536144
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引用次数: 0
Research on the Time-varying Dynamic Characteristics of Compound Motion Curve Face Gear Pair* 复合运动曲线面齿轮副时变动态特性研究*
Pub Date : 2021-07-03 DOI: 10.1109/ICARM52023.2021.9536156
Yongquan Yu, Chao Lin, Chunjiang He, Yanan Hu
To satisfy the requirements of transmission mechanisms with variable transmission ratio, the curve face gear mechanism of compound motion has been proposed, which can build variable transmission ratio and rotation/movement compound motion simultaneously with fewer components and more compact structure. The transmission equation was established and the anti-floating design of the pinion was presented. Combined with critical floating conditions, the relationship among engagement state, rotation speed, stiffness and some other parameters have been shown obviously. According to the discrete method, the difference of meshing tooth pair in a half cycle was set up and converted as the equivalent model with time-varying properties. The dynamic response equations of this gear pair were obtained and the influence of parameters on response displacements were analyzed. Compared with the experimental results, the correctness and rationality of the theory was verified, laying a theoretical foundation for the following research and application of this gear pair.
为满足变传动比传动机构的要求,提出了一种可同时构建变传动比和旋转/运动复合运动的曲线面齿轮机构,该机构元件少,结构紧凑。建立了传动方程,提出了小齿轮的防浮设计。结合临界浮力条件,得到了啮合状态、转速、刚度等参数之间的关系。根据离散化方法,建立了半周期啮合齿对的差值,并将其转换为具有时变特性的等效模型。建立了该齿轮副的动态响应方程,分析了各参数对响应位移的影响。通过与实验结果的对比,验证了理论的正确性和合理性,为后续该齿轮副的研究和应用奠定了理论基础。
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引用次数: 0
Optimization Method of Impedance Control Parameters of Quadruped Robot Based on Dynamic Consistency * 基于动态一致性的四足机器人阻抗控制参数优化方法
Pub Date : 2021-07-03 DOI: 10.1109/ICARM52023.2021.9536188
Cong Zhang, Jing Wang, Qing Wei
Legged robots have become a research hotspot in recent years due to their flexible characteristics, especially the movement ability in complex environments. Impedance control has a unique effect in solving robot compliance and is one of the main methods to solve this problems. Although there are many discussions on the selection of impedance control parameters, most research are focused on single leg platforms. This paper starts by analysing the role of single leg in quadruped robot platform, and proposes an impedance parameter optimization method based on the overall dynamic consistency of quadruped robot. Through the proposed method, we realized the automatic adjustment of the robot’s expected foot force and impedance controller parameters based on the load. By introducing the strategy of ceiling control, the robot can return to a stable state of motion as soon as possible while taking into account flexibility, which effectively reduces the fluctuation of the robot in motion. We verify the effectiveness of this method on both single-leg platform and quadruped robot platform through experiments.
腿式机器人由于其灵活的特点,特别是在复杂环境下的运动能力,成为近年来的研究热点。阻抗控制在解决机器人顺应性问题上具有独特的效果,是解决机器人顺应性问题的主要方法之一。虽然阻抗控制参数的选择有很多讨论,但大多数研究都集中在单腿平台上。本文从分析单腿在四足机器人平台中的作用入手,提出了一种基于四足机器人整体动态一致性的阻抗参数优化方法。通过提出的方法,实现了基于负载的机器人期望足力和阻抗控制器参数的自动调节。通过引入上限控制策略,使机器人在兼顾灵活性的情况下,能够尽快回到稳定的运动状态,有效地降低了机器人在运动中的波动。通过实验验证了该方法在单腿平台和四足机器人平台上的有效性。
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引用次数: 1
Triple-step Nonlinear Controller with MLFNN for a Lower Limb Rehabilitation Robot 基于MLFNN的下肢康复机器人三阶非线性控制器
Pub Date : 2021-07-03 DOI: 10.1109/ICARM52023.2021.9536208
Huanfeng Peng, Jie Zhou, Ting Xu, Jinwu Gao, R. Song
Passive training is the most fundamental functionality of a lower limb rehabilitation robot (LLRR), and high position tracking accuracy can ensure it is completed satisfactorily. In this paper, a triple-step nonlinear controller with a multi-layer feed-forward neural network (MLFNN) is proposed to improve the tracking accuracy of a LLRR. The triple-step nonlinear controller as the basic controller can guarantee the LLRR follow gait trajectory, and the MLFNN is designed based on a specific objective function to compensate the disturbances and system uncertainties. Experiments are carried out on the LLRR, and the results show that the proposed controller can obtain higher tracking accuracy than the triple-step controller without MLFNN.
被动训练是下肢康复机器人(LLRR)最基本的功能,高位置跟踪精度可以保证被动训练圆满完成。为了提高LLRR的跟踪精度,提出了一种基于多层前馈神经网络(MLFNN)的三阶非线性控制器。以三阶非线性控制器作为基本控制器,保证LLRR跟踪步态轨迹,并根据特定的目标函数设计MLFNN来补偿干扰和系统不确定性。在LLRR上进行了实验,结果表明该控制器比不使用MLFNN的三步控制器具有更高的跟踪精度。
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引用次数: 1
Motion Planning of 7-DOF Manipulator Based on Quintic B-Spline Curve 基于五次b样条曲线的七自由度机械臂运动规划
Pub Date : 2021-07-03 DOI: 10.1109/ICARM52023.2021.9536089
Zhaoxing Chen, Xiangrong Xu, Wenbin Zha, A. Rodic, P. Petrovic
In order to improve the working efficiency and stability of the robot, a motion planning strategy of multi joint serial manipulator is proposed in this paper. In face of different time demands, two alternative motion planning methods is offered for robot selection to plan according to the established requirements. In one case, when the robot can make timely response to the environment, an effective motion planning method can be selected. Firstly, the improved RRT algorithm is used to quickly plan the robot path, and then the quintic quasi uniform B-spline function is used to fit the trajectory. According to this, the robot can respond quickly and timely. On the other hand, when the robot has enough time for motion planning, we can consider how to improve the quality of robot motion planning. The robot can use another method for motion planning. At this time, we also need to plan the robot path first, then use the quintic non-uniform B-spline curve fitting, and finally use the improved particle swarm optimization algorithm to optimize the trajectory of the robot. The robot can have a stable and efficient trajectory in the working environment. By using the motion planning method proposed in this paper, the robot can adapt to most of the work requirements and objectives.
为了提高机器人的工作效率和稳定性,提出了一种多关节串联机械手的运动规划策略。面对不同的时间需求,提出了两种可供选择的运动规划方法供机器人选择,根据既定的要求进行规划。在一种情况下,当机器人能够对环境做出及时的响应时,可以选择一种有效的运动规划方法。首先利用改进的RRT算法快速规划机器人路径,然后利用五次拟均匀b样条函数拟合轨迹。根据这一点,机器人可以快速及时地做出反应。另一方面,当机器人有足够的时间进行运动规划时,我们可以考虑如何提高机器人运动规划的质量。机器人可以使用另一种方法进行运动规划。此时,我们还需要先规划机器人的路径,然后使用五次非均匀b样条曲线拟合,最后使用改进的粒子群优化算法对机器人的轨迹进行优化。使机器人在工作环境中具有稳定高效的运动轨迹。采用本文提出的运动规划方法,机器人可以适应大部分的工作要求和目标。
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引用次数: 1
期刊
2021 6th IEEE International Conference on Advanced Robotics and Mechatronics (ICARM)
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