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Kirigami-inspired continuum soft arm with embedded sensing for non-destructive inspection and sorting

Science China Materials 2025年第2期68卷 552-560页

作者： Jinsui Xu Boyi Xu Honghao Yue Yifan Lu Zheping Wang Zongquan Deng Fei Yang State Key Laboratory of Robotics and System School of Mechatronics EngineeringHarbin Institute of TechnologyHarbin 150001China Wu Xianming School of Intelligent Engineering South China University of TechnologyGuangzhou 510641China

The sensing capabilities of a soft arm are ofparamount importance to its overall performance as they allow precise control of the soft arm and enhance its interactionwith the surrounding environment. However, the actuationand sensing of a soft arm are not typically integrated into amonolithic structure, which would impede the arm’s movement and restrict its performance and application scope. Toaddress this limitation, this study proposes an innovativemethod for the integrated design of actuator structures andsensing. The proposed method combines the art of kirigamiwith soft robotics technology. In the proposed method, sensorsare embedded in the form of kirigami structures into actuatorsusing laser cutting technology, achieving seamless integrationwith a soft arm. Compared to the traditional amanogawakirigami and fractal-cut kirigami structures, the proposedmiddle-cut kirigami (MCK) structure does not buckle duringstretching and exhibits superior tensile performance. Based onthe MCK structure, an advanced interdigitated capacitivesensor with a high degree of linearity, which can significantlyoutperform traditional kirigami sensors, is developed. Theexperimental results validate the effectiveness of the proposedsoft arm design in actual logistics sorting tasks, demonstratingthat it is capable of accurately sorting objects based on sensorsignals. In addition, the results indicate that the developedcontinuum soft arm and its embedded kirigami sensors havegreat potential in the field of logistics automation *** work provides a promising solution for high-precisionclosed-loop feedback control and environmental interaction ofsoft arms.

关键词： kirigami embedded sensing continuous soft arm non-destructive inspection

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An Efficient Planner for Dual-Arm Massage Robots in Constrained state

An Efficient Planner for Dual-Arm Massage Robots in Constrai...

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2024 ieee International Conference on robotics and Biomimetics, ROBIO 2024

作者： Xu, Yuan Wang, Wenxiao Zhou, Lechuan Guo, Weichao Sheng, Xinjun Shanghai Jiao Tong University State Key Laboratory of Mechanical System and Vibration School of Mechanical Engineering Shanghai200240 China Shanghai Jiao Tong University Meta Robotics Institute Shanghai200240 China

ISBN: (纸本)9781665481090

Dual-arm massage robots necessitate reaching the massage pose along an optimal collision-free path in constrained state, where traditional path planning methods often exhibit inefficiency. This paper proposes a sampling-based planning algorithm that integrates lazy evaluation, transition testing, and bidirectional Rapidly-exploring Random Tree to reduce computational load, enhance planning efficiency, and improve the planner's ability to effectively explore the state space, avoid local minima, and converge to high-quality solutions. Comparative experiments conducted on a simulation platform across multiple algorithms have demonstrated the efficacy of the proposed planner, achieving a 95 % planning success rate within 1 second. The paths generated by the algorithm exhibit superior quality and enhanced consistency. In summary, the proposed algorithm is capable of producing asymptotically optimal, collision-free paths for a dual-arm massage robot. © 2024 ieee.

关键词： Robot programming

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Dual Transducers Co-Focusing Method for Ultrasound Stimulation in Calf Peripheral Nervous system: A Feasibility Study

Dual Transducers Co-Focusing Method for Ultrasound Stimulati...

引用

ieee International Conference on systems, Man and Cybernetics

作者： Haoran Zheng Xiaoxin Wang Hongwei Zhang Honghai Liu State Key Laboratory of Robotics and System Harbin Institute of Technology Shenzhen Shenzhen China

ISBN: (数字)9781665410205

ISBN: (纸本)9781665410212

As a neuromodulation technology, ultrasound stimulation exhibits great potential due to its non-invasive and targeted nature. Low-Intensity Focused Ultrasound (LIFU) allows for precise targeting of the peripheral nervous system, enabling the elicitation of diverse sensations in the human body, including tactile, cold, heat, and pain. Current research efforts predominantly focus on ultrasound stimulation of the upper limbs, specifically the fingers. However, there is a paucity of investigation pertaining to the stimulation of the peripheral nervous system in the lower limb of the human body. Furthermore, the utilization of a singularly focused transducer for stimulation introduces anisotropy, thereby rendering it challenging to enhance the axial resolution. This study aims to explore an innovative approach using dual transducers that synergistically focus ultrasound to achieve highly precise stimulation and reduce the disparity between axial and lateral resolution. The primary objective is to investigate the feasibility of utilizing this approach for deep muscle stimulation in the human calf muscles, thus delving into the realm of lower limb neuromodulation.

关键词： Peripheral nervous system Legged locomotion Limbs Transducers Ultrasonic imaging Pain Muscles Brain modeling Rendering (computer graphics) Neuromodulation

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A High-Speed Centerline Extraction Method for Multiple Laser Stripe based on Hessian Matrix

A High-Speed Centerline Extraction Method for Multiple Laser...

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International Conference on Biomimetic Intelligence and robotics & Medical robotics Forum, ICBIR+MRF 2024

作者： Shi, Juntian Guo, Weichao Sheng, Xinjun 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

Laser centerline extraction is a critical step in the machine vision-aided measurement process, especially in the field of aerospace drilling and riveting. We propose a novel and efficient algorithm for the extraction of multiple laser centerlines, which consists of three major parts: laser linewidth estimation, ROI (Region of Interest) extraction, and precise positioning. In the linewidth estimation part, a method based on second-order moment is used to estimate the linewidth, and the scanning frame to linewidth ratio is adopted as the convergence condition to achieve a stable estimation result. In the ROI extraction part, we use a scanning frame to perform raster scanning on the entire image, and calculate the feature function threshold based on the sampling and grayscale volume method to complete ROI extraction. In the precise positioning part, we employ an improved method based on the Hessian matrix to reduce computation time, and use a λ filtering method to eliminate noise. Finally, the K-means method is used to classify the center points belonging to different laser centerlines, and RANSAC is utilized to perform line fitting. The final results demonstrate that the proposed algorithm has certain improvements in accuracy and also exhibits high computational efficiency. © 2024 The Authors.

关键词： Linewidth

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"Volume Transfer": A New Design Concept for Fabric-Based Pneumatic Exosuits

arXiv

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arXiv 2024年

作者： Liu, Chendong Yang, Dapeng Chen, Jiachen Dai, Yiming Jiang, Li Liu, Hong Liu, C. Yang, D. Chen, J. Dai, Y. Jiang, L. Liu, H. State Key Laboratory of Robotics and System Harbin Institute of Technology Harbin150001 China

The fabric-based pneumatic exosuit is now a hot research topic because it is lighter and softer than traditional exoskeletons. Existing research focused more on the mechanical properties of the exosuit (e.g., torque and speed), but less on its wearability (e.g., appearance and comfort). This work presents a new design concept for fabric-based pneumatic exosuits: "Volume Transfer", which means transferring the volume of pneumatic actuators beyond the garment's profile to the inside. This allows for a concealed appearance and a larger stress area while maintaining adequate torques. In order to verify this concept, we develop a fabric-based pneumatic exosuit for knee extension assistance. Its profile is only 26mm and its stress area wraps around almost half of the leg. We use a mathematical model and simulation to determine the parameters of the exosuit, avoiding multiple iterations of the prototype. Experiment results show that the exosuit can generate a torque of 7.6Nm at a pressure of 90kPa and produce a significant reduction in the electromyography activity of the knee extensor muscles. We believe that "Volume Transfer" could be utilized prevalently in future fabric-based pneumatic exosuit designs to achieve a significant improvement in wearability. Copyright © 2024, The Authors. All rights reserved.

关键词： Pneumatic actuators

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Fast-Poly: A Fast Polyhedral Framework For 3D Multi-Object Tracking

arXiv

引用

arXiv 2024年

作者： Li, Xiaoyu Liu, Dedong Wu, Yitao Wu, Xian Zhao, Lijun Gao, Jinghan State Key Laboratory of Robotics and System Harbin Institute of Technology Harbin150006 China

3D Multi-Object Tracking (MOT) captures stable and comprehensive motion states of surrounding obstacles, essential for robotic perception. However, current 3D trackers face issues with accuracy and latency consistency. In this paper, we propose Fast-Poly, a fast and effective filter-based method for 3D MOT. Building upon our previous work Poly-MOT, Fast-Poly addresses object rotational anisotropy in 3D space, enhances local computation densification, and leverages parallelization technique, improving inference speed and precision. Fast-Poly is extensively tested on two large-scale tracking benchmarks with Python implementation. On the nuScenes dataset, FastPoly achieves new state-of-the-art performance with 75.8% AMOTA among all methods and can run at 34.2 FPS on a personal CPU. On the Waymo dataset, Fast-Poly exhibits competitive accuracy with 63.6% MOTA and impressive inference speed (35.5 FPS). The source code is publicly available at https://***/lixiaoyu2000/FastPoly. © 2024, CC BY-NC-SA.

关键词： Object detection

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Enhancing Household Service Robots with a Dual-Arm Mobile Manipulator and Multimodal Large Language Models

Enhancing Household Service Robots with a Dual-Arm Mobile Ma...

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2024 ieee International Conference on robotics and Biomimetics, ROBIO 2024

作者： Liu, Yang Zhao, Yanchao Guo, Weichao Sheng, Xinjun Ding, Han School of Mechanical Engineering Shanghai Jiao Tong University State Key Laboratory of Mechanical System and Vibration Shanghai200240 China Meta Robotics Institute Shanghai Jiao Tong University Shanghai200240 China

ISBN: (纸本)9781665481090

This research aims to enhance the practicality of household service robots by integrating multimodal large language models (MLLMs). Utilizing a dual-arm mobile manipulator platform, our focus is on advancing autonomous mobile manipulation in home environments. By leveraging the advanced text understanding and visual processing capabilities inherent in MLLMs, the proposed system adeptly converts user dialogues and environmental visual inputs into precise robotic plans. Among the suite of tested models, GPT-4o mini and Gemini 1.5 flash perform exceptionally well in generating accurate robotic plans. These results underscore a significant enhancement in the robot's ability to manipulate objects within complex home environments, thereby contributing to more seamless human-robot interactions and markedly improved task execution. We anticipate that our findings will inspire future advances in the field of human-robot interaction for home robots. © 2024 ieee.

关键词： Human robot interaction

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Practical Realization of Optimal Auxiliary Frequency Control Strategy of Wind Turbine Generator

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Journal of Modern Power systems and Clean Energy 2022年第3期10卷 617-626页

作者： Ming Sun Yong Min Xuejun Xiong Lei Chen Le Zhao Yuyao Feng Bingran Wang IEEE State Key Laboratory of Power System and Generation Equipment Department of Electrical EngineeringTsinghua UniversityBeijing 100084China State Grid Shanghai Electric Power Research Institute Shanghai 200437China School of New Energy Harbin Institute of Technology(Weihai)Weihai 264209China

Adding the auxiliary frequency control function to the wind turbine generator(WTG)is a solution to the frequency security problem of the power system caused by the replacement of the synchronous generator(SG)by the *** auxiliary frequency control using rotor kinetic energy is an economical scheme because the WTG still runs at the maximum power point during normal *** this paper,the functional optimization model of the auxiliary frequency control strategy of WTG is *** optimal auxiliary frequency control strategy is obtained by solving the model *** for the practical realization of the control strategy,the coordination of the auxiliary frequency control with the maximum power point tracking(MPPT)control is *** practical auxiliary frequency control strategy is modified to adapt to different power disturbances in the system,and the parameter setting method is also *** sensitivity of system frequency to control parameters is ***,the simulation results verify the effectiveness and practicability of the proposed control strategy.

关键词： Power system frequency security wind turbine generator auxiliary frequency control rotor kinetic energy energy constraint

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Transformer-Enhanced Motion Planner: Attention-Guided Sampling for state-Specific Decision Making

arXiv

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arXiv 2024年

作者： Zhuang, Lei Zhao, Jingdong Li, Yuntao Xu, Zichun Zhao, Liangliang Liu, Hong The State Key Laboratory of Robotics and System Harbin Institute of Technology Harbin150001 China

Sampling-based motion planning (SBMP) algorithms are renowned for their robust global search capabilities. However, the inherent randomness in their sampling mechanisms often result in inconsistent path quality and limited search efficiency. In response to these challenges, this work proposes a novel deep learning-based motion planning framework, named Transformer-Enhanced Motion Planner (TEMP), which synergizes an Environmental Information Semantic Encoder (EISE) with a Motion Planning Transformer (MPT). EISE converts environmental data into semantic environmental information (SEI), providing MPT with an enriched environmental comprehension. MPT leverages an attention mechanism to dynamically recalibrate its focus on SEI, task objectives, and historical planning data, refining the sampling node generation. To demonstrate the capabilities of TEMP, we train our model using a dataset comprised of planning results produced by the RRT*. EISE and MPT are collaboratively trained, enabling EISE to autonomously learn and extract patterns from environmental data, thereby forming semantic representations that MPT could more effectively interpret and utilize for motion planning. Subsequently, we conducted a systematic evaluation of TEMP's efficacy across diverse task dimensions, which demonstrates that TEMP achieves exceptional performance metrics and a heightened degree of generalizability compared to state-of-the-art SBMPs. Copyright © 2024, The Authors. All rights reserved.

关键词： Motion planning

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Optimization method for operation configuration of space manipulator for on-orbit assembly 24

Optimization method for operation configuration of space man...

引用

4th International Conference on Control and Intelligent robotics, ICCIR 2024

作者： Li, Mengfei Liu, Yang Feng, Weichao Cao, Baoshi Xie, Zongwu Xie, Yuteng Li, Chongyang Guo, Chuangqiang State Key Laboratory of Robotics and System Harbin Institute of Technology Harbin150001 China School of Resources and Environment Northeast Agricultural University Harbin150006 China Agile Robots Beijing Beijing100192 China

ISBN: (纸本)9798400709937

Aiming at the insertion requirements of large space structures during the on-orbit assembly process, a redundant manipulator operation configuration selection method using joint angle variation as a performance evaluation index is proposed, which achieves operation configuration optimization among multiple sets of inverse solutions. At the same time, the risk of collision during installation is reduced. Firstly, the joint angle parameterization method is used to solve all feasible solutions of the redundant manipulator. Then, trapezoidal velocity planning is employed to analyse the operation configuration after the end effector of the manipulator moves a certain distance in different directions of the coordinate system, and the joint weight coefficient is introduced to calculate the weighted value of the angle variation. Finally, select the operation configuration corresponding to the minimum weighted value as the initial configuration for the manipulator. The calculation results show that this method can select an effective solution that satisfies the posture constraints from multiple sets of inverse solutions, giving full play to the redundant characteristics of the SSRMS-type manipulator and ensuring the safety and reliability of the on-orbit assembly process. © 2024 Copyright held by the owner/author(s).

关键词： Inverse kinematics

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