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16th International Conference on Intelligent robotics and Applications, ICIRA 2023

作者： Li, Yunzhe Yin, Zongtian Zhang, Ting Meng, Jianjun School of Mechanical Engineering Shanghai Jiao Tong University 800 Dongchuan Road Shanghai China Robotics and Microsystems Center College of Mechanical and Electrical Engineering Soochow University Suzhou China State Key Laboratory of Mechanical System and Vibration Shanghai Jiao Tong University 800 Dongchuan Road Shanghai China

ISBN: (纸本)9789819964857

Decoding human motion intentions is critical for prosthetic control, where gesture recognition remains a research focus. However, the decoding accuracy of gestures is affected by multiple factors, resulting in poor robustness in practical applications. Variation in arm positions can significantly decrease the accuracy of gesture recognition, negatively impacting the performance of human-machine interfaces (HMIs). We developed a multimodal HMI system that has the potential to improve the robustness of gesture recognition significantly. This multimodal HMI system synchronously acquired surface electromyography (sEMG), A-mode ultrasound, and inertial measurement unit (IMU) signals and has a miniaturized signal processing module to be integrated into a prosthetic hand socket. We conducted an offline experiment on 11 subjects to investigate the discrete recognition of 10 hand gestures across three different arm positions. The results demonstrate that the multimodal fusion approach using the proposed cascaded classifiers has advantages in gesture recognition across different arm positions. The LDA classifier's best recognition accuracy was 97.08% ± 1.90%, outperforming the single modalities significantly. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2023.

关键词： Gesture recognition

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An RRT-Based Motion Planning Method for Hyper-Redundant Manipulators in Confined Spaces

An RRT-Based Motion Planning Method for Hyper-Redundant Mani...

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2022 IEEE International Conference on robotics and Biomimetics, ROBIO 2022

作者： Deng, Jiangqin Li, Ziqing Zheng, Yang Gu, Guoying School of Mechanical Engineering State Key Laboratory of Mechanical System and Vibration Shanghai Jiao Tong University Shanghai200240 China Meta Robotics Institute Shanghai Jiao Tong University Shanghai200240 China

ISBN: (纸本)9781665481090

Hyper-redundant manipulators have redundant degrees of freedom, bringing additional difficulties to the motion planning. Generally, existing motion planning methods generate paths without considering joint angle limitation of hyper-redundant manipulators. And the generated paths are discretized, leading to discrete errors. In this paper, we present an autonomous motion planner to generate paths, which can be followed by hyper-redundant manipulators with analytical solutions. Starting from the ending pose in the workspace, the rapidly exploring random tree can expand to multiple entrances with limited curvature of arc segments, which ensures that the joint angle limitation is satisfied. Meanwhile, the generated path consists of arc segments, which makes the generated paths can be followed with analytical solutions. Several simulations are conducted to demonstrate the aforementioned advantages. For further validation of the planner's effectiveness, a hyper-redundant manipulator system is used to follow the generated path with follow-the-leader motion. © 2022 IEEE.

关键词： Motion planning

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Full Resolution Repetition Counting

arXiv

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arXiv 2023年

作者： Li, Jianing Chen, Bowen Wang, Zhiyong Liu, Honghai School of Mechanical Engineering and Automation Harbin Institute of Technology Shenzhen State Key Laboratory of Robotics and System Harbin Institute of Technology China

Given an untrimmed video, repetitive actions counting aims to estimate the number of repetitions of class-agnostic actions. To handle the various length of videos and repetitive actions, also optimization challenges in end-to-end video model training, down-sampling is commonly utilized in recent state-of-the-art methods, leading to ignorance of several repetitive samples. In this paper, we attempt to understand repetitive actions from a full temporal resolution view, by combining offline feature extraction and temporal convolution networks. The former step enables us to train repetition counting network without down-sampling while preserving all repetition regardless of the video length and action frequency, and the later network models all frames in a flexible and dynamically expanding temporal receptive field to retrieve all repetitions with a global aspect. We experimentally demonstrate that our method achieves better or comparable performance in three public datasets, i.e., TransRAC, UCFRep and QUVA. We expect this work will encourage our community to think about the importance of full temporal *** Codes 68 © 2023, CC BY-NC-ND.

关键词： Convolution

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An adaptive Kalman filter for physiological tremor suppression in robot-assisted minimally invasive surgery

An adaptive Kalman filter for physiological tremor suppressi...

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IEEE International Conference on robotics and Biomimetics

作者： Daolong Yang Li Jiang Kun Xu Robotics Institute of School of Mechanical Engineering and Automation Beihang University (BUAA) Beijing China State Key Laboratory of Robotics and System Harbin Institute of Technology Harbin China

Physiological tremors of surgeons’ hands bring vibration to the tip of surgical instruments, which may severely damage the accuracy of surgical procedures and even put patients’ lives at risk. Thus robot-assisted surgery using a teleoperation system was introduced to solve this problem. Many filter algorithms were implemented into the robot-assisted surgery system to suppress the inevitable tremors, but always overlooking the traits of hand motion. An innovation/residual-based floating forgetting-factor adaptive Kalman filter (IFFAKF) is proposed to address this problem. A floating forgetting-factor is brought into the innovation/residual-based adaptive estimation algorithm to adjust the process noise covariance (Q) and measurement noise covariance (R) of the system, thus generating estimation of voluntary hand movement and suppressing the vibration at the tip of the surgical instrument caused by the physiological tremor during surgeries. The proposed filter has been contrasted with various filters in simulations and experiments. The results confirm that the proposed filter has obvious advantages in terms of time delay, estimation error, and tremor suppression performance.

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Diffusion-Based mmWave Radar Point Cloud Enhancement Driven by Range Images

arXiv

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arXiv 2025年

作者： Wu, Ruixin Li, Zihan Wang, Jin Xu, Xiangyu Yu, Huan Zheng, Zhi Huang, Kaixiang Lu, Guodong The State Key Laboratory of Fluid Power and Mechatronic Systems School of Mechanical Engineering Zhejiang University Hangzhou310058 China Zhejiang Key Laboratory of Industrial Big Data and Robot Intelligent Systems Zhejiang University Hangzhou310058 China Robotics Research Center of Yuyao City Ningbo315400 China State Key Laboratory of Robotics and Systems Department of Mechatronics Engineering Harbin Institute of Technology Harbin150001 China

Millimeter-wave (mmWave) radar has attracted significant attention in robotics and autonomous driving. However, despite the perception stability in harsh environments, the point cloud generated by mmWave radar is relatively sparse while containing significant noise, which limits its further development. Traditional mmWave radar enhancement approaches often struggle to leverage the effectiveness of diffusion models in super-resolution, largely due to the unnatural range-azimuth heatmap (RAH) or bird’s eye view (BEV) representation. To overcome this limitation, we propose a novel method that pioneers the application of fusing range images with image diffusion models, achieving accurate and dense mmWave radar point clouds that are similar to LiDAR. Benefitting from the projection that aligns with human observation, the range image representation of mmWave radar is close to natural images, allowing the knowledge from pre-trained image diffusion models to be effectively transferred, significantly improving the overall performance. Extensive evaluations on both public datasets and self-constructed datasets demonstrate that our approach provides substantial improvements, establishing a new state-of-the-art performance in generating truly three-dimensional LiDAR-like point clouds via mmWave radar. Copyright © 2025, The Authors. All rights reserved.

关键词： Radar imaging

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A simulation framework for ultrasound-guided minimally invasive robotic breast surgery

A simulation framework for ultrasound-guided minimally invas...

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2022 IEEE International Conference on robotics and Biomimetics, ROBIO 2022

作者： Zhang, Le Ye, Yanchen Niu, Baoshan Xiong, Genliang Yang, Dapeng State Key Laboratory of Robotics and System Harbin Institute of Technology Yikuang Street NanGang District HeilongJiang Harbin China School of Mechanical and Automotive Engineering Shanghai University of Engineering Science Longteng Rd 333 Shanghai201620 China

ISBN: (纸本)9781665481090

Surgical simulation plays an essential role for surgeons to familiarize themselves with surgical procedures and improve the success rate of surgery. In this paper, a flexible and easy-extendable intervention surgery simulation framework was presented, which can perform virtual simulation training and realize synchronous interaction between the real and virtual environment. In particular for breast surgery, the simulation framework was exemplified for an ultrasound-guided minimally invasive robotic breast surgery. The framework used Visual Studio®(Microsoft, USA) and Chai3D open graphics library to realize the virtual surgery environment, and integrated the anti-collision warning of the robotic arms and teleoperation communication support. A layered deformation model of breast was established based on the Mass-Spring Model to simulate the real-time deformation of breast during puncture surgery. In addition, due to the hyperelasticity and great deformation characteristics of breast soft tissue, we further used an improved meshless Radial Point Interpolation Method to improve the simulation accuracy of breast soft tissue deformation model. Finally, experiments on robot pressing a rectangular parallelepiped breast phantom were carried out to verify the simulation accuracy of the deformation model. © 2022 IEEE.

关键词： Tissue

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Ultrahigh Energy Density and Rapid Response Dielectric Elastomer for Advanced Soft Robots

SSRN

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SSRN 2025年

作者： Du, Chengzhen Yan, Peinan Zou, Jiang Guo, Yutong Pang, Zimo Li, Sijia Chen, Yujie Fan, Qunfu Liu, Hezhou State Key Laboratory of Metal Matrix Composites School of Materials Science and Engineering Shanghai Jiao Tong University Shanghai200240 China Robotics Institute State Key Laboratory of Mechanical System and Vibration School of Mechanical Engineering Shanghai Jiao Tong University Shanghai200240 China National Engineering Research Center of Special Equipment and Power System for Ship and Marine Engineering Shanghai200030 China

Dielectric elastomer actuators (DEAs) require high energy density to simultaneously achieve high mechanical output while enabling compact and lightweight actuator design. However, the realization of high energy density is constrained by the high driving electric field and the significant hysteretic relaxation. Herein, we present a DE featuring a bimodal-network structure and multiple hydrogen bond interactions, which possesses outstanding properties, including a low Young's modulus, optimal dielectric properties, and low mechanical loss. The DE achieves a maximum actuation strain of 200% at a low driving electric field of 60 V μm-1 with a rapid response. Remarkably, it exhibits an output force of 0.95 N and an ultrahigh specific energy of 283 J kg-1, approximately 7 times that of natural muscle. A series of soft robots with different structures and functions are fabricated to showcase the immense potential of our DE in various applications. This work provides a novel strategy to fabricate high performance artificial muscles for soft robotics. © 2025, The Authors. All rights reserved.

关键词： Elastomers

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Analysis of Kinematic Relationship of Superposition Cooperative Dual-Industrial Robot 2020

Analysis of Kinematic Relationship of Superposition Cooperat...

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2020 International Conference on Computers, Information Processing and Advanced Education, CIPAE 2020

作者： Kong, Minxiu Wang, Rundong Cheng, Yanchun Yang, Jubo School of Mechatronics Engineering Harbin Institute of Technology State Key Laboratory of Robotics and System Harbin China

ISBN: (纸本)9781450372022

With the increasing complexity of manufacturing process, the ability of a single robot is not enough for the current diversified production environment and tasks, so the research on multi-robot technology is increasingly important. This article selects the most widely used superposition cooperative dual robot as the object, studies a base-based calibration algorithm based on the space common target coordinate system, and then establishes the trajectory constraint relationship of the dual robot on this basis, which provides theoretical basis for teaching work. Finally, the correctness of the algorithm is verified by simulation software. © 2020 ACM.

关键词： Industrial robots

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High-Precision Tracking Control of Modular Dielectric Elastomer Actuators Through Kalman Filter Base Self-Adaptive Direct Inverse Hysteresis Compensation

High-Precision Tracking Control of Modular Dielectric Elasto...

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International Conference on Control and Automation (ICCA)

作者： Bohao Xiao Guoying Gu Jiang Zou State Key Laboratory of Mechanical System and Vibration Shanghai Jiao Tong University Shanghai China Robotics Institute School of Mechanical Engineering Shanghai Jiao Tong University Shanghai China

ISBN: (数字)9798350354409

ISBN: (纸本)9798350354416

This work proposes a Kalman filter based direct inverse hysteresis compensation approach for modularized dielectric elastomer actuators (DEAs) with rate-dependent viscoelasticity, mechanical vibration, and individual variation. To this end, we firstly investigate the dynamics of three modularized DEAs, including viscoelasticity, mechanical vibration, and their individual variation. Then, based on a rate-independent phenomenological hysteresis model, a direct inverse hysteresis compensation (DIHC) is established to eliminate the hysteresis effect. Further, a feedback controller is adopted to remove the creep and model uncertainty. Lastly, a Kalman filter is employed to automatically adjust the parameter of the DIHC, capable of achieving high-precision tracking control of modular DEAs within a wide frequency range. To verify the effectiveness of our control strategy, three modularized DEAs are employed to track periodical trajectories with different frequencies (in a range of 0.1Hz to 10Hz). The experimental results demonstrate that the Kalman filter based controller can fully eliminate the rate-dependent viscoelasticity, mechanical vibration, and individual difference, achieving high-precision tracking control of modular DEAs in a wide frequency range. The maximum error and root mean square error are reduced from 20.16% and 11.44% to 9.87% and 5.22%, respectively.

关键词： Vibrations Uncertainty Creep Soft robotics Trajectory Kalman filters Root mean square

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Enveloping grasp planning of a three-fingered deployable metamorphic robotic grasper

Enveloping grasp planning of a three-fingered deployable met...

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IEEE International Conference on Cyborg and Bionic systems (CBS)

作者： Changqing Gao Yang Zhang Hong Lei Xi Kang Peng Xu Bing Li School of Mechanical Engineering and Automation Harbin Institute of Technology Shenzhen China State Key Laboratory of Robotics and System Harbin Institute of Technology Harbin China

This paper takes a three-fingered deployable metamorphic robotic grasper as the studied object and presents a novel enveloping grasp planning method, by which the robotic grasper can grasp objects with different sizes and shapes more effectively and stably. Firstly, the mechanism design and key performances of the robotic grasper are briefly introduced. Secondly, the static analysis of the grasping motion process is conducted and the factors affecting static equilibrium are also analyzed, based on which the mathematical model of static equilibrium is established, and the relationship between grasping force and grasping posture is obtained. Then, an optimization model of static enveloping grasp with the grasping angle as the variable is proposed, by which the best grasping posture can be obtained. Thirdly, to prove the effectiveness of the proposed enveloping grasp planning method, a group of grasping simulations is performed and the results show that this method is feasible and reliable.

关键词： Shape Biological system modeling Force Grasping Static analysis Mathematical models Planning

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