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检索条件"任意字段=Proceedings of the 2019 2nd International Conference on Control and Robot Technology"

共 3960 条记录，以下是141-150 订阅

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2nd international conference on the Frontiers of robotics and Software Engineering, FRSE 2024

2nd International Conference on the Frontiers of Robotics an...

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2nd international conference on the Frontiers of robotics and Software Engineering, FRSE 2024

ISBN: (纸本)9789819631605

The proceedings contain 33 papers. The special focus in this conference is on Frontiers of robotics and Software Engineering. The topics include: Gait Optimization of Bioinspired Pole-Climbing robot;an Obstacle Avoidance Path Planning Algorithm for Underwater Multi-jointed robotic Arms;boosting Practicality of Natural Image Matting with Trimap Adaptation;diffusion Adversarial Learning For Underwater Depth Estimation;CRFENet: Cross-Spectral Stereo Matching Network Exploiting Reciprocal Feature Evolution;optimization of Offensive and Defensive Strategies Based on Agent2D Underlying Team Code;A Novel MRI-Compatible Rotary Encoder: Design and Evaluation;progressive Feature Interaction and Enhancement Network for Visible-Infrared Person Re-Identification;a Visual Simulation Platform for Automatic Field-of-View Adjustment Algorithm Optimization of a Tendon-Driven Continuum Laparoscope;purely Visual Loading: Pose-Classification Network for Loading Service robot onto Ego-Vehicle;unsupervised Person Re-Identification Based on Pixel-Level Fine-Grained Feature Attention;Application of TD3 Algorithm with Adaptive Parameter Noise Mechanism in Automatic Parking;QED-Former: A Query Enhanced Deformable DETR for Video Instance Lane Detection;analysis of the Climbing and Forward Flight Mechanism of Dragonflies;Coverage Path Planning for Heterogeneous UAVs Based on Water Wave Optimization;Research on Scheduling Algorithms for Multi-UAV Collaborative Search;Research on Adaptive Mobile Mechanism of Wheel-Shoe Complex Deformed Mobile Police EOD robot;Functional Coverage-Driven UVM-Based ARINC429 Verification;reinforcement Learning Based Soccer Kicking for Humanoid robots;robot Path Optimization Method for Nuclear Reactor Decommissioning;Multi-AMR Obstacle Avoidance Algorithm Based on Improved MATD3;The NFTSM Based Platoon Tracking control for a Group of Nonlinear and Underactuated Vehicles on Curved Roads;Application of SE Module Based YOLO v8 Network and Machine Learning in Laser Notch

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Design of Active Disturbance Rejection Attitude controller for Tethered UAV with Parameter Tuning 2

Design of Active Disturbance Rejection Attitude Controller f...

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2nd international conference on robotics, Artificial Intelligence and Intelligent control, RAIIC 2023

作者： Zhou, Zhan Li, Xiao Chen, Zhigang Su, Haoxiang Robot Technology Used for Special Environment Key Laboratory of Sichuan Province Mianyang China Computational Aerodynamics Institute China Aerodynamics Research and Development Center China

ISBN: (纸本)9798350328004

In this paper, active disturbance rejection control (ADRC) is designed for the characteristics of tethered UAV cable interference. Combined with the characteristics of active disturbance rejection control parameters difficult to tune, a parameter tuning method based on particle swarm optimization (PSO) algorithm is proposed. The kinematics model and dynamics model of the tether UAV are established, and then the attitude controller was designed for cable interference. The particle swarm optimization algorithm was designed with the integral of time and absolute error (ITAE) performance index as the objective function and as the fitness value of particle swarm. The parameter values obtained after optimization processing are substituted into the attitude controller. After experiment and simulation, comparing it with PID control, it is proved that it has feasibility and good anti-interference, and can track the track of unmanned vehicle very well. © 2023 IEEE.

关键词： Unmanned aerial vehicles (UAV)

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2nd international conference on the Frontiers of robotics and Software Engineering, FRSE 2024

2nd International Conference on the Frontiers of Robotics an...

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2nd international conference on the Frontiers of robotics and Software Engineering, FRSE 2024

ISBN: (纸本)9789819630127

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Research on the Application of Artificial Intelligence technology and Process control robots in Food Processing 2

Research on the Application of Artificial Intelligence Techn...

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2nd international conference on Artificial Intelligence and Smart Energy, ICAIS 2022

作者： Wang, Jinfei Nanjing Meishijia Meat Products Co. Ltd Jiangsu Nanjing211500 China

ISBN: (纸本)9781665400527

This paper studies the application of artificial intelligence technology and process control robots in the process of food intelligent manufacturing, the expansion of sensor control functions and the improvement of precision, the advancement of artificial intelligence technology, and the high integration of various sensing technologies to collect all aspects of information such as food quality parameters, food equipment operating parameters, food sensory evaluation parameters, etc. are used and integrated to achieve precise control of food processing, energy saving and consumption reduction. This paper realizes the intelligent functions of the process control robot system, such as image processing function and collision detection function. © 2022 IEEE.

关键词： Food processing

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Modeling and control Research of High Temperature Fuel Cell Based on Fuzzy Clustering Algorithm 2

Modeling and Control Research of High Temperature Fuel Cell ...

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2nd international conference on Artificial Intelligence and Autonomous robot Systems, AIARS 2023

作者： Yao, Yan Shen, Jianyue Huang, Yanbo Yang, Jinsong Wang, Lei Ningbo Electric Power Design Institute Co Ltd. Ningbo315000 China Shanghai Palcan New Energy Technology Co. Ltd Shanghai200000 China Integrated Energy Service Co. Ltd Ningbo315000 China Yongyao Technology Branch of Ningbo Power Transmission and Transformation Construction Co. Ltd Ningbo315000 China Suzhou QingJie Technology Co. Ltd Suzhou215000 China

ISBN: (纸本)9798350324358

Fuel cell is considered as the most promising clean energy in the new century due to its many advantages, and the best alternative to traditional energy. It is an energy conversion device that uses hydrogen as the main fuel and directly converts the chemical energy in the fuel into electrical energy through electrochemical reaction. Its efficiency is not limited by the Carnot cycle, and its power generation efficiency can reach 50%~70%. It is considered to be one of the most important power generation technologies in the 21st century. Fuel cell has the characteristics of high efficiency, low pollution, low noise and high reliability. Its battery technology has received great attention all over the world. MCFC (Molten carbonate fuel cell) is one of the high-temperature fuel cells. In this paper, a fuzzy prediction algorithm based on online identification is proposed to model the relationship between the working temperature of high temperature fuel cell stack and the flow rate of reaction gas and cooling water, and the fuzzy clustering method is used for identification. The results show that the system can obtain good dynamic response and anti-interference performance by using fuzzy clustering algorithm to control simulation. At the same time, the simulation results show that the maximum efficiency of the system in the power load range is about 89.91%, which improves the energy utilization. © 2023 IEEE.

关键词： Clustering algorithms

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2nd international conference on Intelligent Equipment and Data Processing

2nd International Conference on Intelligent Equipment and Da...

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2nd international conference on Intelligent Equipment and Data Processing, IEDP 2023

The proceedings contain 7 papers. The topics discussed include: the influence of creep on precision stability in precision instruments with assembly errors;design of magnetic flux leakage detector for mine wire rope;an improved design of absolute-value detector by using optimized ripple adder;high precision piezoelectric micro droplet control and generation system;research and application of calibration device for fire emergency lighting detector;the method of high precision self-localization of transmission line bolts by lightweight maintenance robot;and influence of the spatial position of the semi-open impeller on the internal flow field in centrifugal fans.

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Design of a Seven-Bar Gait Training robot with Simulated Ankle Trajectory 2

Design of a Seven-Bar Gait Training Robot with Simulated Ank...

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2nd international conference on Intelligent Equipment and Special robots, ICIESR 2023

作者： Shi, Kan Yuan, Huanzhi Wang, Ju Yao, Yanan College of Mechanical and Electronic Engineering Shandong University of Science and Technology Qingdao266590 China School of Mechanical Electronic and Control Engineering Beijing Jiaotong University Beijing100044 China

ISBN: (纸本)9781643685144

In this paper, a seven-bar mechanism gait training robot was introduced. The core mechanism of the robot is designed as two sets of seven bar mechanisms with two degrees of freedom. An appropriate reference system is established and the model of the equipment is designed. The kinematics of the mechanism is analyzed, the conditions for determining the motion of the mechanism are analyzed. Subsequently, standard algorithm was used to optimize the end trajectory of the linkage mechanism. According to the results obtained and the principles of human factors engineering, the motion characteristics of the robot were analyzed using Adams software. The simulation results show that the proposed seven bar mechanism gait training robot has a terminal trajectory close to the walking trajectory of the human ankle joint, and can complete gait assistance training tasks. © 2024 The Authors.

关键词： robots

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A Survey on Cooperative control of Multi-Agent Systems 2

A Survey on Cooperative Control of Multi-Agent Systems

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2nd international conference on Artificial Intelligence, Human-Computer Interaction and robotics, AIHCIR 2023

作者： Yang, Zecheng Ma, Nan Yao, Yongqiang Beijing Key Laboratory of Information Service Engineering Beijing Union University Beijing China Beijing University of Technology Faculty of Information and Technology Beijing100124 China Beijing Shuncheng High-tech Co. Ltd Beijing China

ISBN: (纸本)9798350360363

Cooperative control of multi-agent systems involves the coordination and collaboration of multiple intelligent agents to achieve common goals or tasks. This field finds extensive applications in robotics, intelligent transportation systems, the Internet of Things, and unmanned systems, garnering substantial attention from both academia and industry. Moreover, it serves as a fundamental requirement for intelligent interaction and human-robot collaboration, offering crucial support for machines in perceiving their external environments. Over the last decade, notable strides have been made in this domain. Consequently, this paper conducts a comprehensive review of recent advancements. Initially, this paper delineate the backdrop of cooperative control in multi-agent systems, followed by an exploration of the research's progression. Subsequently, various methodologies for formation and collaboration are introduced, with an in-depth discussion of advanced cooperative control algorithms for multi-agent systems. Lastly, this paper provides a prospective outlook on the future direction of multi-agent cooperative control. © 2023 IEEE.

关键词： Multi agent systems

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2nd international conference on robotics, Automation and Intelligent control, ICRAIC 2022

2nd International Conference on Robotics, Automation and Int...

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2nd international conference on robotics, Automation and Intelligent control, ICRAIC 2022

The proceedings contain 50 papers. The topics discussed include: multiple attitude estimation models based on a pressure sensor array;review of human-exoskeleton control strategy for lower limb rehabilitation exoskeleton;multi-source error calibration and observability analysis of integrated inertial navigation system/polarization sensor navigation system;image measurement attribute extraction method under large error condition;salient object detection based on background optimization;classification of CMT additive manufacturing defects based on statistical features;latent-variable-modeling-based fault diagnosis for unknown nonlinear distributed parameter systems with application to snap curing oven;modeling and high-performance trajectory optimization of the industrial robot;non-communicating decentralized multi-robot collision avoidance in grid graph workspace based on dueling double deep Q-network;and combining multi-scale convolutional neural network with long short-term memory neural network for state of charge estimation of lithium-ion batteries.

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Design of Intelligent control System of Manipulator Based on Deep Learning 2

Design of Intelligent Control System of Manipulator Based on...

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2nd international conference on Computers and Automation, CompAuto 2022

作者： Gao, Xiaolin Harbin HuaDe University School of Data Science and Artificial Intelligence Harbin China

ISBN: (纸本)9781665481946

With the continuous development of artificial intelligence technology, the application of traditional manipulator becomes more and more intelligent. One of the key intelligent improvements is to enable the manipulator to obtain the ability to quickly sort a certain target object according to a certain physical attribute in an unstructured space environment. A robot arm intelligent control training method based on deep reinforcement learning is adopted. The control model obtained from the training is combined with the visual recognition algorithm to realize the grasping and sorting of objects in the space environment by the real robot arm. The feasibility and effectiveness of applying reinforcement learning to real manipulator control are verified. © 2022 IEEE.

关键词： Reinforcement learning

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