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International Conference on Advanced robotics and Mechatronics (ICARM)

作者： Yujie Wu Dangchao Li Xia Dong Xin Wang Chunli Zheng Aibin Zhu Zheng Zhang Xu Zhou Yulin Zhang Shaanxi Key Laboratory of Intelligent Robots Institute of Robotics & Intelligent Systems Xi'an Jiaotong University Xi'an China Key Laboratory of Education Ministry for Modern Design and Rotor-Bearing System Xi'an China School of Construction Machinery Chang'an University Xi'an China Xi'an Jiaotong University Xi'an China School of Energy and Power Engineering Xi'an Jiaotong University Xi'an China School of Mechanical Engineering Northwestern Polytechnical University Xi'an Taiyuan Research Institute of China Coal Technology & Engineering Group Co. Ltd Taiyuan China

Drawing on extant literature on hexapod robots, we present a novel obstacle-crossing hexapod robot that can adapt to multiple terrains. We designed the robot's entire mechanical structure, established a mathematical model for the robot leg, deduced the kinematic equation of the leg, and determined the relationship between the robot's motion speed and the motor angle. Through force analysis of the C-shaped leg, we obtained the function between motor output torque and motion phase. Subsequently, we constructed the physical hexapod robot and conducted performance testing. Our experimental results demonstrate that the hexapod robot can move at a speed of 0.5 m/s and successfully cross a 10 cm obstacle. The robot exhibits excellent movement performance and satisfies the functional requirements. Overall, our design offers a promising approach for developing hexapod robots that can navigate a variety of terrains.

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An Assembly Sequence Planning Method Using Ant Colony Algorithm for Arbitrary Placed Workpieces

An Assembly Sequence Planning Method Using Ant Colony Algori...

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IEEE International Conference on Real-time Computing and robotics (RCAR)

作者： Ruiming Hou Sheng Xu Chenguang Yang Bing Zhu Jianghua Duan Guangdong Provincial Key Laboratory of Robotics and Intelligent System Shenzhen Institute of Advanced Technology Chinese Academy of Sciences Shenzhen China University of Chinese Academy of Science Beijing China Shandong Institute of Advanced Technology CAS Shandong China College of Automation Science and Engineering South China University of Technology Guangzhou China Department of Mechanical and Aerospace Engineering Hong Kong University of Science and Technology Hong Kong

This paper proposes a particular and effective online sequence planning method to help manipulators complete complex assembly tasks. In many existing studies, the workpiece is constrained to be placed at a particular initial position. To overcome this drawback, we combine the ant colony algorithm with a target detection algorithm, which could get the positions of the workpieces in real time for online sequence planning. In addition, the constraint and obstacle avoidance of different workpieces in the assembly process is also considered. According to the experiment results, an observation is found that the new method is superior to the general way in terms of efficiency and cost function value. Furthermore, the proposed method effectively solves different practical and feasible assembly sequence planning problems.

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Shape Optimization of Soft Pneumatic Bellows for High Energy Density

Shape Optimization of Soft Pneumatic Bellows for High Energy...

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International Conference on Mechatronics and Machine Vision in Practice (M2VIP)

作者： Yunpeng Miao Feifei Chen State Key Laboratory of Mechanical System and Vibration Shanghai Jiao Tong University Robotics Institute School of Mechanical Engineering Shanghai Jiao Tong University Shanghai China

ISBN: (纸本)9781665431545

Pneumatic bellows can perform extending or contracting and output certain forces at the same time. However, after many years of development, there are few detailed shape design of soft bellows, which leads to relatively low energy density and hinders miniaturization of soft robotic systems. In this paper, to explore the design space, linear bellows are parameterized by variables concerning the cross section and lateral profile with sinusoid functions. Then, a fast finite element analysis script is developed to evaluate the mechanical behavior of bellows under different parameter sets. With the maximal radius ballooning strain constrained below 0.1, the optimal design is obtained with the axial strain up to 0.74, blocking force up to 228.7 N, and volumetric energy density up to 6549.7 J/m 3 . Besides, we also adopt the idea of modular design which makes this soft bellow easy to be integrated. The developed soft pneumatic bellows are promising for use in scenarios where compact soft robots are expected.

关键词： Bellows Mechatronics Shape Machine vision Soft robotics Space exploration Finite element analysis

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航空发动机机匣修复用AlSi10Mg激光金属沉积:显微硬度、磨损和腐蚀行为

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表面工程与再制造 2024年第2期24卷 53-53页

作者： Enjie Dong Tingyu Chang Linjie Zhao Yunhao Xing Jiaxuan Chen Mingjun Chen Junwen Lu Jian Cheng State Key Laboratory of Robotics and System Harbin Institute of Technology Harbin Heilongjiang 150001 China State Key Laboratory of Fluid Power and Mechatronic Systems Zhejiang University Hangzhou 310027 China Aircraft Repair & Overhaul Plant/Sichuan Province Engineering Technology Research Center of General Aircraft Maintenance Civil Aviation Flight University of China Guanghan 618307 China

基于激光金属沉积(Laser Metal Deposition,LMD)的再制造利用了增材制造的灵活性,为修复或再制造高价值工程零部件提供了一种极具吸引力和性价比的手段。本工作在航空发动机机匣用铸造铝合金板表面熔覆AlSi10Mg合金,当激光功率P=1800 W... 详细信息

基于激光金属沉积(Laser Metal Deposition,LMD)的再制造利用了增材制造的灵活性,为修复或再制造高价值工程零部件提供了一种极具吸引力和性价比的手段。本工作在航空发动机机匣用铸造铝合金板表面熔覆AlSi10Mg合金,当激光功率P=1800 W、送粉速率f=1.6 g/min、扫描速度v=8 mm/s时,获得了孔隙率仅为0.19%的AlSi10Mg修复层。

关键词：铸造铝合金增材制造送粉速率显微硬度激光金属沉积扫描速度激光功率修复层

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FFPA-Net: Efficient Feature Fusion with Projection Awareness for 3D Object Detection

arXiv

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arXiv 2022年

作者： Jiang, Chaokang Wang, Guangming Wu, Jinxing Miao, Yanzi Wang, Hesheng Engineering Research Center of Intelligent Control for Underground Space Ministry of Education School of Information and Control Engineering Advanced Robotics Research Center China University of Mining and Technology Xuzhou221116 China Department of Automation Key Laboratory of System Control and Information Processing of Ministry of Education Key Laboratory of Marine Intelligent Equipment and System of Ministry of Education Shanghai Engineering Research Center of Intelligent Control and Management Shanghai Jiao Tong University Shanghai200240 China The Department of Engineering Mechanics Shanghai Jiao Tong University Shanghai200240 China

Promising complementarity exists between the texture features of color images and the geometric information of LiDAR point clouds. However, there still present many challenges for efficient and robust feature fusion in the field of 3D object detection. In this paper, first, unstructured 3D point clouds are filled in the 2D plane and 3D point cloud features are extracted faster using projection-aware convolution layers. Further, the corresponding indexes between different sensor signals are established in advance in the data preprocessing, which enables faster cross-modal feature fusion. To address LiDAR points and image pixels misalignment problems, two new plug- and-play fusion modules, LiCamFuse and BiLiCamFuse, are proposed. In LiCamFuse, soft query weights with perceiving the Euclidean distance of bimodal features are proposed. In BiLiCamFuse, the fusion module with dual attention is proposed to deeply correlate the geometric and textural features of the scene. The quantitative results on the KITTI dataset demonstrate that the proposed method achieves better feature-level fusion. In addition, the proposed network shows a shorter running time compared to existing methods. Copyright © 2022, The Authors. All rights reserved.

关键词： Object detection

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Robust X-ray Image Stitching Algorithm Based on Refining Matching Results of Feature Descriptors

Robust X-ray Image Stitching Algorithm Based on Refining Mat...

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IEEE International Symposium on Biomedical Imaging

作者： Yefeng Liang Shibo Li Xingyu Li Yucheng He Ying Hu Tailin Wu Huiren Tao Shenzhen Key Laboratory of Minimally Invasive Surgical Robotics and System Shenzhen Institute of Advanced Technology Chinese Academy of Sciences Shenzhen China University of Chinese Academy of Sciences UCAS Beijing China College of Design and Engineering National University of Singapore Singapore Singapore Department of Orthopaedics Shenzhen University General Hospital Shenzhen University Clinical Medical Academy Shenzhen China

Panoramic X-ray image provides a convenient way for some orthopedic clinical diagnosis and preoperative planning, while the full body cannot be captured in a single X-ray scan. The classic refining algorithm RANSAC failed to identify the outliers (mismatched points) according to the low signal-to-noise ratio of the matching results of vanilla feature descriptors. The methods based on deep learning based are also difficult to carry out due to the lack of training data pairs clinically. This paper proposes a robust algorithm for X-ray image stitching based on refining the matching results of vanilla feature descriptors. The algorithm transforms the image stitching task into the clique problem in the graph theory owing to the scale consistency of the X-ray images, and the dynamic programming algorithm is used to accelerate the searching process for the maximal clique. 60 clinical X-ray image pairs from different parts of the human body are randomly collected to evaluate our proposed algorithm. The experiment results show the strong robustness throughout different stitching tasks of X-ray images and achieve the best performance among the frequently-used stitching software.

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Modeling and closed-loop control of ferromagnetic nanoparticles microrobots 22

Modeling and closed-loop control of ferromagnetic nanopartic...

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22nd IEEE International Conference on E-Health Networking, Application and Services, HEALTHCOM 2020

作者： Hao, Zhiming Xu, Tiantian Huang, Chenyang Lai, Zhengyu Wu, Xinyu Guangdong Provincial Key Laboratory of Robotics and Intelligent System Shenzhen Institutes of Advanced Technology Chinese Academy of Sciences Shenzhen518055 China SIAT Branch Shenzhen Institute of Artificial Intelligence and Robotics for Society Shenzhen518055 China University of Chinese Academy of Sciences Beijing100049 China Faculty of Information Technology Beijing University of Technology Engineering Research Center of Digital Community Ministry of Education Beijing China Key Laboratory of Human-Machine Intelligence-Synergic Systems Shenzhen Institutes of Advanced Technology Chinese Academy of Sciences Shenzhen518055 China

ISBN: (纸本)9781728162676

Microrobots capable of performing minimally invasive surgery, targeted drug delivery, and manipulation of micro-objects have shown great potentials in multiple application areas. However, microrobots assembled by nanoparticles with stable configuration and good performance on closed-loop control are still to be further studied. In this paper, ferromagnetic nanoparticles are used as experimental materials, rather than paramagnetic nanoparticles that require complex synthesis processes, and the advantage is demonstrated, for example, high pattern stability. The locomotion velocity as a function of the magnetic field frequency is modeled, analyzed and verified by experiment. Moreover, a path following experiment based on the arbitrary planar path following algorithm is performed. The nanoparticle microrobots are of great significance for biomedical applications. In the future works, experiments in bio-fluids, multimodal locomotion, and targeted drug delivery tasks will be investigated. © 2021 IEEE.

关键词： Targeted drug delivery

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Modeling and Design of Periodic Polygonal Lattices Constructed from Microstructures with Varying Curvatures

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Physical Review Applied 2022年第4期17卷 044032-044032页

作者： Le Dong Dong Wang Jinqiang Wang Chengru Jiang Hui Wang Biao Zhang Mao See Wu Guoying Gu Robotics Institute and State Key Laboratory of Mechanical System and Vibration School of Mechanical Engineering Shanghai Jiao Tong University Shanghai 200240 China Frontiers Science Center for Flexible Electronics (FSCFE) Xi’an Institute of Flexible Electronics (IFE) and Xi’an Institute of Biomedical Materials & Engineering (IBME) Northwestern Polytechnical University 127 West Youyi Road Xi’an 710072 China School of Mechanical and Aerospace Engineering Nanyang Technological University 50 Nanyang Avenue 639798 Singapore

Lattice structures can exhibit unusual mechanical properties by appropriate design and arrangement of the microstructures, and have already found applications in areas such as tissue engineering, stretchable electronics, and soft robotics. However, the designed microstructures generally follow simple geometric patterns with constant curvatures and theoretical models are developed for each geometry particularly. It lacks a universal method to model and design the periodic lattice constructed from microstructures with varying curvatures. In this paper, we develop a universal approach to design polygonal lattices with a wide range of microstructures with varying curvatures using instant curvature and parametric functions. A finite deformation model is proposed for the microstructures and the corresponding lattices, which considers the wavy or curled microstructure, hierarchical geometry, and large deformation. Experiments and finite-element simulations are conducted to validate the theoretical model. All of Young’s modulus, stretchability, and Poisson’s ratio can be inversely designed using the developed theoretical model. Results show that the stretchability of the highly stretchable lattice can be further increased by more than 4 times using densely curled microstructure. The signs of Poisson’s ratio can also change with the axial strain by rationally designing the microstructures. By combining curve fitting and curvature and parametric functions, the mechanical behaviors of lattices constructed by bioinspired microstructures can also be predicted. The lattice structures are then demonstrated to reinforce a hydrogel with modulus increased by around 2 orders and act as a biomimetic soft-strain sensor. This work could aid the design of a hierarchical lattice and have potential applications in tissue engineering, stretchable electronics, and soft robotics.

关键词： Biomimetic & bio-inspired materials Devices Elastic deformation Flexible electronics Mechanical metamaterials Origami & Kirigami Strain Smart materials

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Simultaneously Calibration of Multi Hand-Eye Robot system Based on Graph

arXiv

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arXiv 2023年

作者： Zhou, Zishun Ma, Liping Liu, Xilong Cao, Zhiqiang Yu, Junzhi The Institute of Automation Chinese Academy of Sciences Beijing100190 China The College of Electrical Engineering and Computer Science Australian National University Canberra2601 Australia The State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Academy of Sciences Beijing100190 China The School of Artificial Intelligence University of Chinese Academy of Sciences Beijing100049 China The State Key Laboratory for Turbulence and Complex System Department of Advanced Manufacturing and Robotics BIC-ESAT College of Engineering Peking University Beijing100871 China

Precise calibration is the basis for the vision-guided robot system to achieve high-precision operations. systems with multiple eyes (cameras) and multiple hands (robots) are particularly sensitive to calibration errors, such as micro-assembly systems. Most existing methods focus on the calibration of a single unit of the whole system, such as poses between hand and eye, or between two hands. These methods can be used to determine the relative pose between each unit, but the serialized incremental calibration strategy cannot avoid the problem of error accumulation in a large-scale system. Instead of focusing on a single unit, this paper models the multi-eye and multi-hand system calibration problem as a graph and proposes a method based on the minimum spanning tree and graph optimization. This method can automatically plan the serialized optimal calibration strategy in accordance with the system settings to get coarse calibration results initially. Then, with these initial values, the closed-loop constraints are introduced to carry out global optimization. Simulation experiments demonstrate the performance of the proposed algorithm under different noises and various hand-eye configurations. In addition, experiments on real robot systems are presented to further verify the proposed method. © 2023, CC BY-SA.

关键词： Multipurpose robots

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Tactile-Based Object Pose Estimation Employing Extended Kalman Filter

Tactile-Based Object Pose Estimation Employing Extended Kalm...

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International Conference on Advanced robotics and Mechatronics (ICARM)

作者： Qiguang Lin Chaojie Yan Qiang Li Yonggen Ling Yu Zheng Wangwei Lee Zhaoliang Wan Bidan Huang Xiaofeng Liu Jiangsu Key laboratory of Special Robotic Technology College of IoT Engineering Hohai University Changzhou Jiangsu P.R. China State Key Laboratory of Industrial Control and Technology Zhejiang University Institute of Cyber-System and Control Hangzhou P.R. China Neuroinformatics Group Center for Cognitive Interaction Technology (CITEC) Bielefeld University Bielefeld Germany Tencent Robotics X Shenzhen China School of Computer Science and Engineering Sun Yat-sen University Guangzhou P.R.China

In this paper, we present a new approach to estimate the pose of an object being manipulated by a multi-fingered robotic hand. The method utilizes advanced tactile sensors with high spatial resolution to optimize the estimation of the object's pose using an Extended Kalman Filter (EKF) based approach. We defined and derived the state and measurement equations, as well as evaluated the estimation accuracy in grasping tasks. The approach is able to effectively account for the pose transition caused by tactile pushing, and the mapping from the object's pose to the contact position and normal direction as measured by the tactile sensor. The method was evaluated in multiple grasping experiments in simulation scenarios. Results show that the estimation can converge towards the ground truth in a relatively short period of time, with displacement and rotation errors remaining within acceptable levels. This new method has the potential to improve the accuracy and reliability of robotic grasping and manipulation tasks.

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