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42nd Chinese control Conference, CCC 2023

作者： Wang, De-Xiu Meng, Qing-Hao Han, Rui-Xue Li, Hong-Yue Hou, Hui-Rang Institute of Robotics and Autonomous Systems School of Electrical and Information Engineering Tianjin University Tianjin Key Laboratory of Process Measurement and Control Tianjin300072 China Tianjin Navigation Instruments Research Institute Tianjin300131 China

ISBN: (纸本)9789887581543

Identification of the type of combustion-supporting agents (CSAs) by an electronic nose (e-nose) is severely limited due to the absence of untested gas concentration in the e-nose training set. In order to solve this problem, this study designs an e-nose for classifying four CSAs (Diesel, Gasoline, Ethanol and Thinner), and builds cross-concentrations data set. This study uses Gramian Angular Field method that converts one-dimensional time series data to two-dimensional data, and proposes an algorithm named the Multi-Branch Feature Fusion Network (M-BFFNet). This algorithm passes the one-dimensional and two-dimensional data through two different networks and obtains two types of features. First, the algorithm can strength the one-dimensional raw data, integrate the advantages of different networks, and fuse the characteristics of different networks. Second, it can learn the characteristics of volatile gas with specific concentrations to identify the unknown concentrations. Last, a feature fusion module is designed to improve the algorithm ability of learning odor fingerprint. In order to verify the superiority of the algorithm, this study tests the recognition performance of the e-nose based systems and compares the proposed M-BFFNet with traditional algorithms. The results show that the proposed M-BFFNet improves the identification accuracy compared to other algorithms. According to the analysis of this work, the M-BFFNet can be used to identify CSAs with unknown concentrations. © 2023 Technical Committee on control Theory, Chinese Association of Automation.

关键词： Electronic nose

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Towards Efficient Path Finding and Moving Stability-Focused Trajectory Planning for Mobile Robots

Towards Efficient Path Finding and Moving Stability-Focused ...

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2024 IEEE International Conference on robotics and Biomimetics, ROBIO 2024

作者： Hou, Muyang Lei, Zhenya Hu, Haidong Wang, Zhong Wang, Yong Xie, Le Wang, Hesheng Shanghai Jiao Tong University Department of Automation Shanghai200240 China School of Information and Control Engineering China University of Mining and Technology Xuzhou221116 China Beijing Institute of Control Engineering Beijing100190 China Institute of Medical Robotics Shanghai Jiao Tong University Shanghai200240 China Shanghai Engineering Research Center of Intelligent Control and Management Shanghai Jiao Tong University Key Laboratory of System Control and Information Processing of Ministry of Education Key Laboratory of Marine Intelligent Equipment and System of Ministry of Education Department of Automation Shanghai200240 China

ISBN: (纸本)9781665481090

Nowadays, mobile robots play an important role in a variety of service scenarios. They need to plan and track trajectories to accomplish tasks such as delivery or guided tours. In such tasks, there are two remaining challenges: on one hand, the time and memory consumption of present path planners are still significant;on the other hand, service robots, which have a higher center of gravity, demand greater moving stability than that of current trajectory planners provide. To address these two challenges. Firstly, we propose a safety boundary first A∗ which fully utilizes environmental obstacle information to create a safety boundary and searches in it to quickly find an initial path. Secondly, we formulate the trajectory optimization problem as a nonlinear optimization problem, where the smoothness, safety, feasibility, and moving stability of the robot are taken into account. Furthermore, to constrain the robot's lateral acceleration, we design a time allocation algorithm based on non-uniform B-spline, enhancing the quality of the resulting trajectory. Simulations and real-world experiments demonstrate that our algorithms significantly improve path search efficiency, enhance moving stability, reduce the difficulty of tracking, and improve the quality of task completion. © 2024 IEEE.

关键词： Trajectories

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An Elliptical Tangent Graph Method Based on Multi-source Information for UAV Path Planning 3rd

An Elliptical Tangent Graph Method Based on Multi-source Inf...

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3rd International Conference on Autonomous Unmanned Systems, ICAUS 2023

作者： Liu, Bin Tang, Qirong Huang, Wentao Jiang, Qingchao Fan, Qinqin Logistics Research Center Shanghai Maritime University Shanghai201306 China Laboratory of Robotics and Multibody System Tongji University Shanghai201804 China Key Laboratory of Control of Power Transmission and Conversion Ministry of Education of China Shanghai200240 China Key Laboratory of Smart Manufacturing in Energy Chemical Ministry of Education East China University of Science and Technology Shanghai200237 China

ISBN: (纸本)9789819711062

Path planning is one of important tasks for unmanned aerial vehicles (UAVs) to achieve autonomous flight. Moreover, the solution efficiency and solution accuracy are usually two conflicting objectives in UAV path planning problem, especially for complex static environments. To alleviate the above issue, an elliptical tangent graph method based on multi-source information (ETG-MI) is proposed in the current study. In the proposed ETG-MI algorithm, the target guidance information is first used to generate candidate waypoints via elliptical tangent graph method, and then a novel heuristic rule is utilized to select promising waypoints. Additionally, a waypoint selection method is proposed to eliminate low-quality detour waypoints. Finally, the cubic B-spline curve method is used to smooth the final obtained path for meeting the actual flight requirements of UAV. The proposed algorithm is compared with four state-of-the-art path planning methods under different scenarios. The experimental results demonstrate that the proposed ETG-MI is capable of finding an optimal feasible path for different environments with various types of obstacles. Moreover, the proposed algorithm performs better than other competitors in simple maze-like environments. © Beijing HIWING Scientific and Technological Information Institute 2024.

关键词： Motion planning

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Industrial Data Fusion Method based on Semantic Data Dictionary for Digital Twin 3

Industrial Data Fusion Method based on Semantic Data Diction...

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3rd International Symposium on Computer Engineering and Intelligent Communications, ISCEIC 2022

作者： Liu, Yang Zhang, Tianshi Shenyang Institute of Automation Chinese Academy of Sciences Shenyang China Key Laboratory of Networked Control Systems Chinese Academy of Sciences Shenyang China Institutes for Robotics and Intelligent Manufacturing Chinese Academy of Sciences Shenyang China

ISBN: (纸本)9781510660298

Industrial digital twin is the key support for the transformation of industry to intelligence. The realization of digital twin relies on the integration of whole-process data, which can provide real-time and intelligent decision-making optimization for production management. This paper proposes a digital twin data fusion method based on semantic data dictionary. Firstly, a modeling method of domain data dictionary is designed, and a semantic method is introduced to realize the construction of semantic data dictionary. Then, based on the semantic data dictionary, a semantic similarity calculation method based on multivariate distance weighting is proposed. Finally, the algorithm is tested and verified. The experimental results show that the method in this paper has a significant effect on automatic data fusion in the construction of industrial digital twins. © The Authors. Published under a Creative Commons Attribution CC-BY 3.0 License.

关键词： Data fusion

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Recent Advances in Artificial Autonomous Decision Systems and Their Applications 21st

Recent Advances in Artificial Autonomous Decision Systems an...

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21st Polish control Conference, PCC 2023

作者： Skulimowski, Andrzej M. J. Badecka, Inez Karimi, Masoud Lydek, Pawel Pukocz, Przemyslaw Decision Sciences Laboratory Chair of Automatic Control and Robotics AGH University of Science and Technology Krakow30-059 Poland International Center for Decision Sciences and Forecasting Progress and Business Foundation Krakow30-048 Poland

ISBN: (纸本)9783031351693

This article presents the methodological background and an overview of recent applications of artificial autonomous decision systems (AADS), endowed with intelligent coordination algorithms. The research results comprise modelling the decision-making processes in autonomous anticipatory systems, specifically the decisions made in teams composed of robots and humans. These can be modelled as timed anticipatory networks. We present selected real-life applications of anticipatory decision support methods, such as industrial safety management systems and coordination of ground unmanned autonomous robot teams. New algorithms have been proposed to solve multicriteria combinatorial optimization problems that occur when selecting safety strategies, such as AADS evacuation from endangered areas. Decision analytics, based on reference sets, is proposed to solve optimal supervisory control problems related to coordinated autonomous robot deployment. Finally, we discuss the scenarios of future research on AADS and their applications in developing decision algorithms for teams of autonomous harvesting robots or robotic inspection of large industrial plants. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2023.

关键词： Decision making

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Kinematic control of a Mecanum Mobile Robot using Time-Varying Model Predictive control

Kinematic Control of a Mecanum Mobile Robot using Time-Varyi...

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RSI/ISM International Conference on robotics and Mechatronics (ICROM)

作者： Seyed Ali Shahzadeh Fazeli Sohrab Allahyari Arman Gholibeikian S. Ali A. Moosavian Dept. of Mechanical Engineering Advanced Robotics & Automated Systems (ARAS) Laboratory Center of Excellence in Robotics & Control K. N. Toosi University of Technology Tehran Iran

ISBN: (数字)9798331529734

ISBN: (纸本)9798331529741

Mecanum wheeled mobile robots have increasingly caught researchers' attention due to their wide range of applications and higher maneuverability. However, their complex structure makes their trajectory tracking and control problem more challenging. This paper presents a cascaded controller for trajectory tracking of a four-wheel Mecanum mobile robot. The cascaded controller consists of a linear time-varying model predictive controller (LTV-MPC) and an inner PID controller. The proposed controller does not require the system's dynamics model. To this end, the linear time-varying error model used to design the MPC is obtained from the robot's kinematics model. The angular velocities obtained from the predictive controller are then mapped into the required commands for the DC motors using a PID controller. The PID controller is fine-tuned considering the motor's dead zone using the Genetic Algorithm. Simulations and experimental results demonstrate the superiority of the cascaded controller over the regular LTV-MPC. The proposed algorithm can also be used for other real-time implementations of robotic tasks.

关键词： Trajectory tracking System dynamics Robot kinematics Predictive models DC motors Angular velocity Real-time systems Mobile robots Voltage control Genetic algorithms

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RoboFold: A platform for Protein-folding Inspired Robot Swarms ∗ 5

RoboFold: A platform for Protein-folding Inspired Robot Swar...

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5th World Robot Conference Symposium on Advanced robotics and Automation, WRC SARA 2023

作者： Zhang, Feng Gu, Yuping Yuan, Shuai Yang, Yongliang Shenyang Jianzhu University School of Electrical and Control Engineering Liaoning Shenyang110168 China Shenyang Institute of Automation Chinese Academy of Sciences State Key Laboratory of Robotics Shenyang110016 China Institutes for Robotics and Intelligent Manufacturing Chinese Academy of Sciences Liaoning Shenyang110016 China Shenyang Jianzhu University School of Computer Science and Engineering School of Electrical and Control Engineering Liaoning Shenyang110168 China

ISBN: (纸本)9798350307320

Natural swarms have inspired various controlling algorithms for swarm robotics, while few of them were programmed in a similar way as the natural swarms. Defining a reliable programming method is still a daunting challenge in swarm robotics. In nature, the information of 3D protein structure is programmed in the sequence of amino acids of the protein. To mimic the programming method of protein folding, we present a platform for investigating protein-folding inspired programming method for robot swarms. This platform includes three parts: a vibration machine, protein-like robot sequences, and recording devices. The preliminary results presented here demonstrated the effectiveness of this platform and the feasibility of protein-folding inspired programming method for robot swarms. © 2023 IEEE.

关键词： Protein folding

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Event-Based Supervisor control for a Bascule Bridge 9

Event-Based Supervisor Control for a Bascule Bridge

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9th South-East Europe Design Automation, Computer Engineering, Computer Networks and Social Media Conference, SEEDA-CECNSM 2024

作者： Fragkoulis, Dimitrios G. Koumboulis, Fotis N. Tzamtzi, Maria P. Giannaris, Georgios L. National and Kapodistrian University of Athens Robotics Automatic Control and Cyber-Physical Systems Laboratory Department of Digital Industry Technologies School of Science Euripus Campus Euboea 34400 Greece National and Kapodistrian University of Athens Core Department Euripus Campus Euboea 34400 Greece

ISBN: (纸本)9798350342482

The automation of a bascule bridge, located in the Netherlands, is studied. The modeling of the system is worked out in the framework of Ramadge-Wonham and analyzed per automation component of the bridge. The desired performance of the bridge is expressed in the form of rules, that will be translated to five groups of sets of regular languages. Next, new groups of sets of regular languages will be introduced by the injection of appropriate uncontrollable events, in order to guarantee the controllability of the languages. Finally, an event-based supervisor scheme will be developed and the nonblockingness of the controlled automaton is proved. © 2024 IEEE.

关键词： Bascule bridges

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Compliance while resisting: a shear-thickening fluid controller for physical human-robot interaction

arXiv

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arXiv 2025年

作者： Chen, Lu Chen, Lipeng Chen, Xiangchi Lu, Haojian Zheng, Yu Wu, Jun Wang, Yue Zhang, Zhengyou Xiong, Rong State Key Laboratory of Industrial Control Technology Zhejiang University Zhejiang Hangzhou China Tencent Robotics X Lab Shenzhen China

Physical human-robot interaction (pHRI) is widely needed in many fields, such as industrial manipulation, home services, and medical rehabilitation, and puts higher demands on the safety of robots. Due to the uncertainty of the working environment, the pHRI may receive unexpected impact interference, which affects the safety and smoothness of the task execution. The commonly used linear admittance control (L-AC) can cope well with high-frequency small-amplitude noise, but for medium-frequency high-intensity impact, the effect is not as good. Inspired by the solid-liquid phase change nature of shear-thickening fluid, we propose a Shear-thickening Fluid control (SFC) that can achieve both an easy human-robot collaboration and resistance to impact interference. The SFC’s stability, passivity, and phase trajectory are analyzed in detail, the frequency and time domain properties are quantified, and parameter constraints in discrete control and coupled stability conditions are provided. We conducted simulations to compare the frequency and time domain characteristics of L-AC, nonlinear admittance controller (N-AC), and SFC, and validated their dynamic properties. In real-world experiments, we compared the performance of L-AC, N-AC, and SFC in both fixed and mobile manipulators. L-AC exhibits weak resistance to impact. N-AC can resist moderate impacts but not high-intensity ones, and may exhibit self-excited oscillations. In contrast, SFC demonstrated superior impact resistance and maintained stable collaboration, enhancing comfort in cooperative water delivery tasks. Additionally, a case study was conducted in a factory setting, further affirming the SFC’s capability in facilitating human-robot collaborative manipulation and underscoring its potential in industrial applications. Copyright © 2025, The Authors. All rights reserved.

关键词： Industrial robots

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Aspect-Ratio and Scale Aware Rotated Defect Detection for Fiber-reinforced Composites 5

Aspect-Ratio and Scale Aware Rotated Defect Detection for Fi...

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5th International Conference on Computer Vision, Image and Deep Learning, CVIDL 2024

作者： Xu, Yuanye Liu, Yuanhao University of Chinese Academy of Sciences Key Laboratory of Networked Control System Shenyang Institute of Automation Chinese Academy of Sciences Shenyang Institute of Automation Chinese Acad. of Sci. Institutes for Robotics and Intelligent Mfg. Chinese Academy of Sciences Shenyang China

ISBN: (纸本)9798350373820

Detecting surface defects in carbon fiber-reinforced composites (FRCs) during prepreg stacking is crucial for ensuring product quality. Traditional methods using horizontal bounding boxes (HBBs) for defect detection often lead to overlapping boxes and inaccurate results. This paper proposes an Aspect-Ratio and Scale Aware Detector network (ARSADet) specifically designed for rotated defect detection in FRCs. The network incorporates a Gabor convolutional network for feature extraction, an aspect-ratio and scale-aware label assignment method, and a newly established FRCs Oriented Defect Detection dataset (FODD). Evaluation on the FODD dataset demonstrates superior performance compared to existing methods. © 2024 IEEE.

关键词： Aspect ratio

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