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2-DOF simultaneous control of dexterous prosthesis based on constrained NMF and hadamard product

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2-DOF simultaneous control of dexterous prosthesis based on ...

2019 IEEE International Conference on robotics and Biomimetics, ROBIO 2019

作者： Wang, Zixin Yang, Dapeng Li, Jiaming Liu, Hong Harbin Institute of Technology State Key Laboratory of Robotics and System Harbin150081 China School of Foreign Language State Key Laboratory of Robotics and System Harbin150081 China Artificial Intelligence Laboratory State Key Laboratory of Robotics and System Harbin150081 China

ISBN: (纸本)9781728163215

- It is a question of great import for the dexterous prosthesis to realize its continuous, simultaneous and proportional control of multi-DOFs so that its rehabilitation function can be well achieved and its user acceptance rate can be improved. In this paper, we propose a new method, CNMF-HP, which integrates the constrained non-negative matrix factorization (NMF) and the Hadamard product, for estimating 2-DOF wrist movements (DOF-1, flexion/extension;DOF-2, adduction/abduction) from myoelectric signals. Based on this method, the simultaneous control of a multi-fingered prosthesis is verified in this paper. Through establishing the mapping relationship between the wrist movements and the finger movements of the dexterous prosthesis, two grasp control strategies (synchronous and asynchronous) are proposed and successfully applied in operating the dexterous prosthesis to grasp four kinds of objects of different grasping patterns (cylindrical, spherical, tripod and lateral). Then, the performance of different strategies (synchronous/asynchronous control) in the grasping process is compared in terms of the completion time and completion rate of the tasks, in this way the superiority of EMG control proposed in this paper is further verified. © 2019 IEEE.

关键词： Non-negative matrix factorization

Toward the smooth mesh climbing of a miniature robot using bioinspired soft and expandable claws

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arXiv 2022年

作者： Wang, Hong Liu, Peng Ngoc, Phuoc Thanh Tran Li, Bing Li, Yao Sato, Hirotaka State Key Laboratory of Robotics and System Harbin Institute of Technology Harbin150001 China The School of Mechanical Engineering and Automation Harbin Institute of Technology Shenzhen518055 China School of Mechanical and Aerospace Engineering Nanyang Technological University Singapore Singapore

While most micro-robots face difficulty traveling on rugged and uneven terrain, beetles can walk smoothly on the complex substrate without slipping or getting stuck on the surface due to their stiffness-variable tarsi and expandable hooks on the tip of tarsi. In this study, we found that beetles actively bent and expanded their claws regularly to crawl freely on mesh surfaces. Inspired by the crawling mechanism of the beetles, we designed an 8-cm miniature climbing robot equipping artificial claws to open and bend in the same cyclic manner as natural beetles. The robot can climb freely with a controllable gait on the mesh surface, steep incline of the angle of 60°, and even transition surface. To our best knowledge, this is the first micro-scale robot that can climb both the mesh surface and cliffy incline. © 2022, CC BY.

关键词： Robots

A Novel Sample Manipulation Device (SMD) for Lunar Regolith Volatile In-Situ Exploration: Method and Validation

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A Novel Sample Manipulation Device (SMD) for Lunar Regolith ...

IEEE International Conference on robotics and Biomimetics

作者： Junyue Tang Tian Yang Xiren Chen Ziheng Liu Jiannan Li Zhiheng Zhang Junxiao Xiao Cheng Chi Shengyuan Jiang State Key Laboratory of Robotics and System Harbin Institute of Technology Harbin P. R. China Nanjing University of Aeronautics and Astronautics Chinese Academy of Sciences Institute of Geology and Geophysics Beijing P. R. China

ISBN: (纸本)9781665481106

Extraction and analysis of volatile substances in lunar regoilth is an important means to reveal the formation of the Earth-moon system and explore lunar resources. At present, volatile matter loss will be caused by shock vibration and pressure change of returned samples, so volatile matter needs to be prepared in situ on the lunar surface. In order to accurately measure the contents of volatile matter in lunar regoilth, it is necessary to collect samples with constant volume and quantity. In view of the above problems, this paper designed a sample manipulation device for quantitative detection, sample transfer and volatile preparation of lunar regoilth. The device carries 12 sample tubes through the gear disc to realize double station sample transfer. Seal requirements during sample reception and heating are achieved by lifting the rack. The test shows that the device can accurately measure the sample volume, the sample transfer time is 76.67s, and the thrust into the furnace is more than 150N, which meets the requirements of sample processing time and sealing. The device has a certain enlightening effect on the subsequent lunar exploration project.

关键词： Heating systems Vibrations Gears Volume measurement Furnaces Moon Switches

Surface accuracy analysis for hexagonal prism modular deployable antenna

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Guangxue Jingmi Gongcheng/Optics and Precision Engineering 2021年第12期29卷 2855-2867页

作者： Tian, Da-Ke Fan, Xiao-Dong Jin, Lu Liu, Rong-Qiang Zhang, Ke School of Mechanical Engineering Shenyang Jianzhu University Shenyang110168 China School of Civil Engineering Shenyang Jianzhu University Shenyang110168 China State Key Laboratory of Robotics and System Harbin Institute of Technology Harbin150001 China

A surface accuracy analysis model for the support structure of a hexagonal prism modular deployable antenna is proposed because of the large-scale, modular, and high-precision development trend of deployable antennas. The structural composition of the hexagonal modular deployable antenna is elaborated, and the topological rules of the hexagonal modular structure are analyzed. Based on the idea of equal envelope circles and the basic theory of robotics, two mathematical modeling methods of envelope circle, point-surface method and two-point method, are proposed, from which the mathematical model of the intersection point of the equal envelope circle and the mathematical model of the included angle of rib unit are established;the mathematical model for accuracy analysis of the shape surface of the support structure of a modular deployable antenna with a hexagonal prism is built. Finally, the model is verified using a combination of numerical simulations and experimental verifications. The simulation and experimental results show that the enveloping circle can closely fit on the spherical surface, and it is in good agreement with the spherical surface. In the numerical simulation model, the modules of the hexagonal prism are connected accurately. In the experiment, the absolute error of feature points is mainly distributed in 5 to 10 mm, the relative error is mainly concentrated in the range of 0.05% to 0.1%, and the absolute error of the rib unit angle is mostly distributed in the range of 0.05°to 0.1°. The deviation between the measured and the theoretical values is small, and the values are in good agreement. The proposed model can solve the spatial coordinates of all module connection points, which provides a theoretical basis for the analysis and research of the shape accuracy of multi-module deployable antennas. © 2021, Science Press. All right reserved.

关键词： Antennas

Long and Short-Term Constraints Driven Safe Reinforcement Learning for Autonomous Driving

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arXiv 2024年

作者： Hu, Xuemin Chen, Pan Wen, Yijun Tang, Bo Chen, Long School of Artificial Intelligence Hubei University Wuhan430062 China Key Laboratory of Intelligent Sensing System and Security Hubei University Ministry of Education Hubei Wuhan430062 China Department of Electrical and Computer Engineering Worcester Polytechnic Institute WorcesterMA01609 United States State Key Laboratory of Multimodal Artificial Intelligence Systems State Key Laboratory of Management and Control for Complex Systems Chinese Academy of Sciences Beijing100190 China WAYTOUS Inc. Beijing100083 China Shenzhen518107 China Institute of Artificial Intelligence and Robotics Xi'an Jiaotong University Xi’an710049 China

Reinforcement learning (RL) has been widely used in decision-making and control tasks, but the risk is very high for the agent in the training process due to the requirements of interaction with the environment, which seriously limits its industrial applications such as autonomous driving systems. Safe RL methods are developed to handle this issue by constraining the expected safety violation costs as a training objective, but the occurring probability of an unsafe state is still high, which is unacceptable in autonomous driving tasks. Moreover, these methods are difficult to achieve a balance between the cost and return expectations, which leads to learning performance degradation for the algorithms. In this paper, we propose a novel algorithm based on the long and short-term constraints (LSTC) for safe RL. The short-term constraint aims to enhance the shortterm state safety that the vehicle explores, while the long-term constraint enhances the overall safety of the vehicle throughout the decision-making process, both of which are jointly used to enhance the vehicle safety in the training process. In addition, we develop a safe RL method with dual-constraint optimization based on the Lagrange multiplier to optimize the training process for end-to-end autonomous driving. Comprehensive experiments were conducted on the MetaDrive simulator. Experimental results demonstrate that the proposed method achieves higher safety in continuous state and action tasks, and exhibits higher exploration performance in long-distance decision-making tasks compared with state-of-the-art methods. Copyright © 2024, The Authors. All rights reserved.

关键词： Lagrange multipliers

Hybrid Beamforming Design for Millimeter Wave Multiuser MIMO systems with Dynamic Subarrays

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arXiv 2022年

作者： Wang, Gengshan Yang, Zhijia Gong, Tierui State Key Laboratory of Robotics Shenyang Institute of Automation Chinese Academy of Sciences Shenyang110016 China The Key Laboratory of Networked Control System Shenyang Institute of Automation Chinese Academy of Sciences Shenyang110016 China The Institutes for Robotics and Intelligent Manufacturing Chinese Academy of Sciences Shenyang110169 China The University of Chinese Academy of Sciences Beijing100049 China Singapore University of Technology and Design Singapore

In this letter, we investigate the millimeter wave (mmWave) downlink multiuser multiple-input multiple-output (MU-MIMO) system, adopting the dynamic subarray architecture at the base station and considering the multi-stream communication for each user. Aiming at maximizing the system spectral efficiency, we propose a novel hybrid beamforming design. First, assuming no inter-user interference (IUI), we easily get the optimal fully-digital beamformers and combiners using the singular value decomposition of each user channel and the waterfilling algorithm. Then, based on the obtained fully-digital beamformers, we propose a Kuhn-Munkres algorithm-assisted dynamic hybrid beamforming design, which guarantees that each radio-frequency chain is connected to at least one antenna. Finally, we propose to further project each obtained digital beamformer onto the null space of all the other equivalent user channels to cancel the IUI. Numerical results verify the superiority of our proposed hybrid beamforming design. © 2022, CC BY.

关键词： Millimeter waves

Design of grayscale digital light processing 3D printing block by machine learning and evolutionary algorithm

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Composites Communications 2022年 36卷

作者： Zhao, Baowen Zhang, Mengjie Dong, Le Wang, Dong Robotics Institute School of Mechanical Engineering Shanghai Jiao Tong University Shanghai 200240 China State Key Laboratory of Mechanical System and Vibration Shanghai Jiao Tong University Shanghai 200240 China Meta Robotics Institute Shanghai Jiao Tong University Shanghai 200240 China

Grayscale digital light processing (DLP) 3D printing method, using grayscale light patterns to adjust the microscale material properties, is a revolutionary technology for future advanced manufacturing. However, the design and optimization method of the grayscale distribution remains elusive. In this paper, we propose an optimization method for grayscale DLP printed rectangular blocks based on a machine learning and evolutionary algorithm. We use an automated finite element model-based evaluation to predict the deformation shapes with arbitrary grayscale distribution, considering the nonlinear mechanical performances. A machine learning model based on recurrent neural networks is trained using the database formed by the finite element method model to enable fast and precise prediction of the deformed shapes. Optimal designs of the deformed shapes are efficiently realized via integrating the machine learning model and evolution algorithm method. Grayscale distributions are optimized to form desired deformations and validated by experiments. This work paves the way for designing and optimizing grayscale digital light processing 3D printed structures. © 2022 Elsevier Ltd

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Digital Modeling of Massage Techniques and Reproduction by Robotic Arms

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arXiv 2024年

作者： Xu, Yuan Huang, Kui Guo, Weichao Du, Leyi The SJTU Paris Elite Institute of Technology Shanghai Jiao Tong University Shanghai200240 China The State Key Laboratory of Mechanical System and Vibration School of Mechanical Engineering Shanghai Jiao Tong University Shanghai200240 China Meta Robotics Institute Shanghai Jiao Tong University Shanghai200240 China School of Gongli Hospital Medical Technology University of Shanghai for Science and Technology China

This paper explores the digital modeling and robotic reproduction of traditional Chinese medicine (TCM) massage techniques. We adopt an adaptive admittance control algorithm to optimize force and position control, ensuring safety and comfort. The paper analyzes key TCM techniques from kinematic and dynamic perspectives, and designs robotic systems to reproduce these massage techniques. The results demonstrate that the robot successfully mimics the characteristics of TCM massage, providing a foundation for integrating traditional therapy with modern robotics and expanding assistive therapy applications. Copyright © 2024, The Authors. All rights reserved.

关键词： Digital elevation model

BAN: A Universal Paradigm for Cross-Scene Classification Under Noisy Annotations From RGB and Hyperspectral Remote Sensing Images

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IEEE Transactions on Geoscience and Remote Sensing 2025年 63卷

作者： Chen, Wentang Wen, Yibin Zheng, Juepeng Huang, Jianxi Fu, Haohuan Sun Yat-sen University School of Artificial Intelligence Zhuhai519082 China Zhejiang University State Key Laboratory of Fluid Power and Mechatronic Systems Engineering Research Center for Design Engineering and Digital Twin of Zhejiang Province School of Mechanical Engineering Robotics Institute Hangzhou310027 China Southwest Jiaotong University Faculty of Geosciences and Engineering Chengdu610032 China China Agricultural University College of Land Science and Technology Beijing100107 China Ministry of Agriculture and Rural Affairs Key Laboratory of Remote Sensing for Agri-Hazards Beijing100125 China Tsinghua University Tsinghua Shenzhen International Graduate School Shenzhen518071 China Tsinghua University Ministry of Education Key Laboratory for Earth System Modeling Department of Earth System Science Beijing100190 China National Supercomputer Center in Shenzhen Shenzhen518071 China

While domain adaptation (DA) methods have made significant strides in remote sensing community, most current works assume that the source domain labels are accurate. However, limited emphasis has been placed on the scenario where source data are mislabeled with noisy annotations, which is more common in real applications and referred to as noisy DA (NDA). This article formulates remote sensing cross-scene classification on NDA scenarios and proposes a novel network called bilateral adaptation network (BAN), which consists of two parts: 1) forward learning (FL), which utilizes a model learning from the noisy source domain and transfers knowledge to target domain;and 2) backward learning (BL), which utilizes a dual model to acquire knowledge from the target domain and transfer it to source domain. We conduct two parts alternately and adopt a symmetrical Kullback-Leibler (KL) loss to align predictions of the model and its dual model in the same domain. This interactive strategy is able to explore bilateral relationships between domains, implicitly reducing label noise in the source domain. In addition, BAN could serve as a universal paradigm to not only improve the existing NDA methods but also enhance recent DA approaches. Comprehensive evaluations on three publicly available RGB-band remote sensing datasets and two hyperspectral datasets validate the superior effectiveness of our proposed BAN. BAN improves the average accuracy by 6.70%-15.70% on RGB datasets and overall accuracy (OA) by 1.36%-3.14% on hyperspectral datasets with flip-20% noise compared to other state-of-the-art DA and NDA approaches. Promising results indicate the potential of our approach in tackling more general and practical problems with noisy source domain. © 2025 IEEE.

关键词： Contrastive Learning