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2023 IEEE International Conference on robotics and Biomimetics, ROBIO 2023

作者： Liu, Yi Tang, Junyue Liu, Yafang Ma, Gongbo Sun, Feng Li, Ye Jiang, Shengyuan Shenyang University of Technology Shenyang China Harbin Institute of Technology State Key Laboratory of Robotics and System Harbin China Beijing Institute of Spacecraft System Engineering Beijing China Beijing China

ISBN: (纸本)9798350325706

To exactly detect the water ice of the South Pole of the moon, a lunar regolith in-situ analysis payload deploying a mass spectrometer is proposed for China future lunar exploration missions. In order to receive the lunar regolith sample from a robotic arm with a soil sampler and transfer it into a furnace for further analysis, a sample manipulation mechanism is required during the above work flow. To solve the problems of adapting the sampler's docking accuracy, receiving and transferring two different types of lunar soil sample under times of in-situ analysis, etc., a sample repetitive manipulation mechanism (SRMM) is proposed in this paper. By using a floating adjustable docking components and a flexible hopper, two types of encapsulated regolith sample and bulk material sample can be received with minimal sample loss, respectively. In order to receive and transfer two types of samples multiple times, two sample receiving methods have been designed that can be repeatedly transferred. A worm and worm wheel combined with a ball screw is designed in SRMM. To verify the above mechanism design, validation experiments were conducted. It indicates that this novel SRMM can be deployed in the future mission after further environmental tests. © 2023 IEEE.

关键词： Lunar exploration Repeated transfer Sample type sampler's docking sealing force

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RAM-NAS: Resource-aware Multiobjective Neural Architecture Search Method for Robot Vision Tasks

RAM-NAS: Resource-aware Multiobjective Neural Architecture S...

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IEEE/RSJ International Conference on Intelligent Robots and systems (IROS)

作者： Shouren Mao Minghao Qin Wei Dong Huajian Liu Yongzhuo Gao State Key Laboratory of Robotics and System Harbin Institute of Technology Harbin China

ISBN: (数字)9798350377705

ISBN: (纸本)9798350377712

Neural architecture search (NAS) has shown great promise in automatically designing lightweight models. However, conventional approaches are insufficient in training the supernet and pay little attention to actual robot hardware resources. To meet such challenges, we propose RAM-NAS, a resource-aware multi-objective NAS method that focuses on improving the supernet pretrain and resource-awareness on robot hardware devices. We introduce the concept of subnets mutual distillation, which refers to mutually distilling all subnets sampled by the sandwich rule. Additionally, we utilize the Decoupled Knowledge Distillation (DKD) loss to enhance logits distillation performance. To expedite the search process with consideration for hardware resources, we used data from three types of robotic edge hardware to train Latency Surrogate predictors. These predictors facilitated the estimation of hardware inference latency during the search phase, enabling a unified multi-objective evolutionary search to balance model accuracy and latency trade-offs. Our discovered model family, RAM-NAS models, can achieve top-1 accuracy ranging from 76.7% to 81.4% on ImageNet. In addition, the resource-aware multi-objective NAS we employ significantly reduces the model’s inference latency on edge hardware for robots. We conducted experiments on downstream tasks to verify the scalability of our methods. The inference time for detection and segmentation is reduced on all three hardware types compared to MobileNetv3-based methods. Our work fills the gap in NAS for robot hardware resource-aware.

关键词： Training Accuracy Image edge detection Scalability Robot vision systems Predictive models Hardware Neural architecture search Robots Testing

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JHT-EXO: A Soft Ankle Exosuit for Assisting Walking in Patients with Post-Stroke Foot Inversion

JHT-EXO: A Soft Ankle Exosuit for Assisting Walking in Patie...

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IEEE International Conference on robotics and Biomimetics

作者： Haotian Ju Zihang Guan Songhao Guo Zedong Liu Qinghua Zhang Tianjiao Zheng Jie Zhao Yanhe Zhu State Key Laboratory of Robotics and System Harbin Institute of Technology Harbin China

ISBN: (数字)9798331509644

ISBN: (纸本)9798331509651

Stroke often leads to foot inversion, seriously affecting the patients' walking ability. In this paper, a lightweight, soft exosuit, JHT-EXO, is proposed for correcting foot inversion to help patients' gait rehabilitation. JHT-EXO mainly consists of two cable driving modules, two foot feedback modules, and a control module, with a total weight of no more than 2.5 kg. The cable driving module can pre-tighten the cable with a designed constant torque spring to prevent the cable from falling off. When the motor is not energized, it can still assist the person in stabilizing the walking gait and reducing power consumption. Customized foot pressure sensors recognize human gait, and IMUs on the feet measure the ankle angle used by the controller to change the output force of the exosuit. The constant torque spring was calibrated and tested, and the experimental results showed that the average output force of the constant torque spring was 20.0 N, with a maximum error of 5.6% compared to the theoretically calculated results. The ground walking test of the exosuit was performed by three subjects in three conditions: wearing the exosuit powered up, wearing the exosuit unpowered, and not wearing the exosuit. The test results showed that JHT-EXO could effectively reduce the ankle inversion angle by $22.11^\circ$ compared to not wearing the exosuit. JHT-EXO is feasible in preventing foot drop and stabilizing flip, and its high mobility and portability show potential for gait rehabilitation of foot inversion patients.

关键词： Legged locomotion Ankle Pressure sensors Torque Force Stroke (medical condition) Pressure measurement Springs Robots Foot

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PMM-Net: Single-stage Multi-agent Trajectory Prediction with Patching-based Embedding and Explicit Modal Modulation

arXiv

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arXiv 2024年

作者： Liu, Huajian Dong, Wei Fan, Kunpeng Wang, Chao Gao, Yongzhuo State Key Laboratory of Robotics and System Harbin Institute of Technology Harbin China

Analyzing and forecasting trajectories of agents like pedestrians plays a pivotal role for embodied intelligent applications. The inherent indeterminacy of human behavior and complex social interaction among a rich variety of agents make this task more challenging than common time-series forecasting. In this letter, we aim to explore a distinct formulation for multi-agent trajectory prediction framework. Specifically, we proposed a patching-based temporal feature extraction module and a graph-based social feature extraction module, enabling effective feature extraction and cross-scenario generalization. Moreover, we reassess the role of social interaction and present a novel method based on explicit modality modulation to integrate temporal and social features, thereby constructing an efficient single-stage inference pipeline. Results on public benchmark datasets demonstrate the superior performance of our model compared with the state-of-the-art methods. The code is available at: ***/TIB-K330/pmm-net. Copyright © 2024, The Authors. All rights reserved.

关键词： Economic and social effects

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A Novel FBG Shape Sensor Based on Mechanical Model for Continuum Manipulator

A Novel FBG Shape Sensor Based on Mechanical Model for Conti...

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International Conference on Autonomous Robots and Agents, ICARA

作者： Yuxin Zhang Wei Dong Zhiyuan Yan Yongzhuo Gao State Key Laboratory of Robotics and System Harbin Institute of Technology Harbin China

ISBN: (数字)9798350394245

ISBN: (纸本)9798350394252

Fiber Bragg Gratings (FBG) are used widely for that it is small and sensitive. It is suitable to insert a sensor based on FBGs to some narrow cavities. At the same time, a slender continuum structure requires tiny sensors inside it. A multi-node differential curvature measurement sensor of FBG fiber is designed in this paper to realize temperature compensation. Considering the friction among FBG, driving wires, and niti tube and external forces applied on the end, a mechanical model about the FBG sensor and the continuum manipulator is proposed. At last, a linear interpolation method is used in the curvature estimation. Under the condition that there is no end resistance and only the bending moment and friction along the outer surface of the continuum generated by the steel wire driven by the motor the absolute measurement error of the position of the end of the continuum is 1.9mm.

关键词： Temperature measurement Temperature sensors Optical fiber sensors Shape Shape measurement Wires Robot sensing systems

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Acoustic black hole effect enhanced micromanipulator

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Microsystems & Nanoengineering 2024年第5期10卷 345-352页

作者： Qiu Yin Haoyong Song Zhaolong Wang Zhichao Ma Wenming Zhang State Key Laboratory of Mechanical System and Vibration Shanghai Jiao Tong UniversityShanghaiChina institute of Medical Robotics School of Biomedical EngineeringShanghai Jiao Tong UniversityShanghaiChina College of Mechanical and Vehicle Engineering Hunan UniversityChangshaChina School of Energy Science and Engineering Harbin Institute of TechnologyHarbinP.R.China

Microparticle manipulation is a critical concern across various felds including microfabrication,flexible electronics and tissue ***-activated sharp structures have been designed as simple and flexible tools to manipulate microparticles with their good compatibility,fast response,and broad ***,there still lacks rational acoustic-structure design for effective energy concentration at the acoustic-activated sharp structures for microparticle ***,we present the acoustic black hole(ABH)effect as enhancement for the acoustic *** provides great reliability,simplicity and ease of use,supporting custom design of high-throughput patterning ***,compared to commonly used configurations,such as cylindrical or conical microneedles,those microneedles with ABH profle exhibit superior acoustic energy focusing at the tip and induce stronger acoustofluidic *** average acoustic flow velocity induced by the ABH microneedle is 154 times greater than that of the conical one and 45 times greater than that of the cylindrical ***,the average acoustic radiation force(ARF)produced by the ABH microneedle against acrylic microparticles is about 319 times greater than that of the cylindrical one and 16 times greater than that of the conical *** results indicate that ABH design significantly enhances microparticle *** demonstrate this concept with ABH effect enhanced microparticle manipulation and study the parameters influencing its performance including operating frequency,operating voltage and particle ***,considering the flexibility of this system,we employ it for various patterning and high-throughput microparticle *** work paves the way for controllable microparticle manipulation,holding great potential for applications in microfabrication and biomedicine.

关键词： cylindrical Acoustic simplicity

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Helium Loss for Robust keypoints Detection with Convolutional Neural Networks

Helium Loss for Robust Keypoints Detection with Convolutiona...

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Automation, Control and robotics Engineering (CACRE), International Conference on

作者： Haode Huo Tianran Wang Linjie Zhao State Key Laboratory of Robotics and System Harbin Institute of Technology Harbin China

ISBN: (数字)9798350350302

ISBN: (纸本)9798350350319

In this paper, a novel loss function for key point detection, named Helium Loss is proposed. All our experiments are based on Ultralytics' YOLOv8n-pose architecture. Initially, this paper analyze various existing loss functions, including L1 loss, L2 loss, and smooth L1 loss. There is a problem that current loss functions do not account for issues related to the quality of dataset annotations and unclear boundaries of targets. To address this challenge, this paper introduce a loss function that incorporates partial trust in annotated key points and utilizes Gaussian distribution to mitigate the impact of manual annotations.

关键词： Training Computer vision Annotations Computational modeling Pose estimation Computer architecture Gaussian distribution

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Motion Planning for Steam Generator Tube Sheet Quadruped Maintenance Robot

Motion Planning for Steam Generator Tube Sheet Quadruped Mai...

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IEEE International Conference on Mechatronics and Automation

作者： Biying Xu Xuehe Zhang Xuan Yu Hegao Cai Kuan Zhang Jie Zhao Jizhuang Fan State Key Laboratory of Robotics and System Harbin Institute of Technology Harbin China

ISBN: (数字)9798350388077

ISBN: (纸本)9798350388084

The steam generator tube sheet quadruped maintenance robot is a novel mobile robot designed for the inspection of steam generator heat transfer tubes. This paper presents a motion planning method for this type of robot. The trajectory of the robot's base is planned through kinematic solutions search. Additionally, a foothold motion evaluation system is established using the Technique for Order of Preference by Similarity to Ideal Solution algorithm to plan the movement of foothold points. For a given motion path, our proposed method divides the path into multiple straight-line segments, and then performs separate planning for turning foothold points and straight-line foothold points. The experiments demonstrate that the proposed algorithm is adaptable to steam generator tube sheets and performs well in environments with obstacles since the algorithm proposed has a planning success rate of 100% for the tube sheet robot. The experiments validate the effectiveness and feasibility of the proposed method.

关键词： Robot motion Turning Generators Electron tubes Planning Maintenance Trajectory

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Design and Analysis of Cellular Multidimensional Morphing Linkage of Aircraft Fuselage

Design and Analysis of Cellular Multidimensional Morphing Li...

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Mechatronics and robotics Engineering (ICMRE), International Conference on

作者： Hualiang Liu Hong Xiao Guang Yang Hongwei Guo Rongqiang Liu Zongquan Deng State Key Laboratory of Robotics and System Harbin Institute of Technology Harbin China

ISBN: (数字)9798350394276

ISBN: (纸本)9798350394283

Firstly, this paper proposes two types of variable cross-section morphing for the aircraft fuselage: upper convex and below convex morphing. Secondly, an innovative design of a cellular multidimensional morphing linkage combining planar six-bar linkages and a 6-UPS parallel linkage is proposed. The DOF of the linkage is analyzed, and kinematic simulation analysis of the morphing linkage is carried out. Finally, a prototype of the morphing fuselage is developed, and through morphing capacity test, it is verified that the morphing fuselage can achieve reversible upper convex and below convex morphing, with maximum radial morphing rates of 11.9% and 11.4%, verifying the feasibility of the linkage design.

关键词： Couplings Mechatronics Simulation Prototypes Kinematics Aircraft Robots

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Development of a Cable-Driven Upper Limb Exosuit for Both Pulling and Lifting

Development of a Cable-Driven Upper Limb Exosuit for Both Pu...

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Mechatronics and robotics Engineering (ICMRE), International Conference on

作者： Songhao Guo Tianjiao Zheng Haotian Ju Jie Zhao Yanhe Zhu State Key Laboratory of Robotics and System Harbin Institute of Technology Harbin China

ISBN: (数字)9798350394276

ISBN: (纸本)9798350394283

This paper presents an upper limb exosuit for human augmentation. The exosuit utilizes a low-cost air pressure sensing glove based on the principle of air pressure to detect hand grasping states. It achieves assistance in upper limb elbow flexion movements during activities such as pulling and lifting through a driving module and wire rope for power transmission. To verify the effectiveness of the upper limb exosuit, pull-ups and lifting experiments were performed on five healthy participants with and without the exosuit. The surface electromyographic (sEMG) signals were recorded from selected muscles (Brachioradialis (BR), biceps brachii (BB) and latissimus dorsi (LD)) to assess how well the exosuit is helping the body. The results indicate a significant decrease in both the mean and peak value of the average normalized sEMG signals of the selected muscles during the pullup and load-lifting experiments. The finding indicates that the designed upper limb exosuit system can reduce muscle activation during pulling up and lifting tasks, effectively providing assistance. Future research directions include further optimizing the exosuit’s mechanical structure, improving the air pressure sensing glove’s state recognition accuracy and validating the application effectiveness of the exoskeleton suit in specific scenarios such as rock climbing and rope climbing.

关键词： Mechatronics Wires Power transmission Grasping Muscles Robot sensing systems Rocks

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