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检索条件"任意字段=3rd International Conference on Intelligent Robotics and Control Engineering, IRCE 2020"

共 1403 条记录，以下是111-120 订阅

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Design of multi-function parrot cage control system based on MCU 3

Design of multi-function parrot cage control system based on...

引用

3rd international conference on control and intelligent robotics, ICCIR 2023

作者： Zhang, Tingting Xu, Zhichao Zhang, Liying School of Traffic and Electrical Engineering Dalian University of Science and Technology Liaoning Dalian116052 China

ISBN: (纸本)9781510671867

This paper provides a better living and learning environment for training parrots. During the training period, the parrots were trained on a daily basis, provided with food when needed, and regularly disinfected and cleaned up their habitat. Reduce the workload of trainers and improve the efficiency of parrot training. Through the single-chip microcomputer controller, the use of temperature detectors and humidity detectors to monitor the environment, and according to the actual environmental conditions to adjust the temperature and humidity, displays the temperature and humidity of the current environment and time on the OLED. To arrive at feeding time, control the motor for feeding, or use an LED lamp to simulate the expression. Arrive disinfect clean time, control motor to undertake disinfect and clean excrement, or use an LED lamp to simulate to express. To reach the preset time, play voice to teach the parrot. The app monitors the environment on the phone and can directly control feeding, garbage removal and voice teaching functions. Finally, the correctness and reliability of the design are verified by simulation. © 2023 SPIE.

关键词： control systems

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Research on trajectory tracking control of intelligent vehicles based on model predictive control 3

Research on trajectory tracking control of intelligent vehic...

引用

3rd international conference on control and intelligent robotics, ICCIR 2023

作者： Yang, Ming xing Niu, Long jiang School of Mechanical Engineering Shanghai Dian ji University China

ISBN: (纸本)9781510671867

Model Predictive control (MPC) combined with the planning layer can realize the autonomous obstacle avoidance of vehicles. Still, the generated trajectories are often not smooth enough and have considerable tracking errors, resulting in poor stability and comfort of cars. To address this problem, a PID-MPC dual closed-loop intelligent vehicle controller that can reduce tracking error and improve vehicle stability and comfort is designed. First, the differential term of the traditional PID control algorithm is introduced into the first-order inertial filtering link to enhance vehicle stability and reduce tracking error. Secondly, based on the nonlinear model of vehicle dynamics, the MPC controller was used as the outer control loop, the improved PID controller was used as the internal control loop, and the dual-loop controller solved the optimal control sequence to realize the dual closed-loop optimal control of the intelligent vehicle. Finally, the feasibility and effectiveness of the designed PID-MPC dual closed-loop controller were verified by joint CarSim/Simulink simulations. The simulation results showed that the tracking trajectory generated by the PID-MPC controller was smoother, the front wheel steering angle, yaw angle, and lateral acceleration changed more smoothly with smaller amplitudes, and the car's comfort and stability both increased. © 2023 SPIE.

关键词： Model predictive control

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An optimal design and fuzzy control method for a new flapping-wing robot 3

An optimal design and fuzzy control method for a new flappin...

引用

3rd international conference on Electrical engineering and control Science, IC2ECS 2023

作者： Zhang, Chunxiao Zhao, Yansen Zhang, Ting Liu, Qi Li, Bin Ma, Yue Suo, Mengze Li, Changrui School of Mechanical Engineering Tianjin University of Technology Tianjin Key Laboratory for Advanced Mechatronic System Design and Intelligent Control Tianjin300384 China Tianjin University of Technology National Demonstration Center for Experimental Mechanical and Electrical Engineering Education Tianjin300384 China

ISBN: (纸本)9798350382426

Bionic flapping-wing robot has the advantages of good maneuverability, low noise and strong stealth performance. It is widely used in military intelligence collection, field rescue and investigation. In this paper, an optimal design method of bionic flapping-wing robot non-phase difference driving mechanism is proposed. By setting the constraints of flapping angle amplitude, fuselage height and slider stroke, the scale parameters of the mechanism are optimized by using the minimum transmission angle;on this basis, the effectiveness of fuzzy PD control in improving the tracking accuracy of the drive system is verified by means of ADAMS and MATLAB / Simulink electromechanical coupling simulation. This research has practical value for designing new flapping-wing robot and improving its control quality. © 2023 IEEE.

关键词： flapping-wing robot fuzzy PD control kinematics scale optimization

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Large Diameter Pipe Welding Robot Motion Analysis 3

Large Diameter Pipe Welding Robot Motion Analysis

引用

3rd international conference on control and intelligent robotics, ICCIR 2023

作者： Wenkuan, Q.U. Northwest Branch of China Construction Eighth Engineering Bureau Co. Ltd Xi'an China

ISBN: (纸本)9781510671867

This study analyzes the impact of weld seam position and torch position on welding quality, including their definitions and spatial coordinate system representation. Based on this analysis, a coherent weld seam characteristic coordinate system is established, and the calculation of torch position is completed. This lays the foundation for further research on the inverse kinematics analysis of the arc welding robot. The plug-in arc welding robot is analyzed using forward and inverse kinematic analysis based on the general industrial robot. The inverse kinematic solution of the robot is then determined using the geometric method according to the specific coherent welding trajectory of the plug-in arc welding robot and its specific operation mode. The kinematic inverse solution of each joint is unique, the angle changes periodically, and its attitude meets the welding requirements of the torch, while the displacement changes of each joint can meet the working needs in the task space. © 2023 SPIE.

关键词： Industrial robots

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UCAV autonomous maneuvering decision based on curriculum learning mechanism training 3

UCAV autonomous maneuvering decision based on curriculum lea...

引用

3rd international conference on control and intelligent robotics, ICCIR 2023

作者： Fang, Shiyu Zhao, Wenjie Li, Jun Shen, Yanjun School of Aeronautics and Astronautics Zhejiang University Hangzhou310027 China Center for Unmanned Aerial Vehicles Huanjiang Laboratory Zhuji311800 China School of Electrical and Electronic Engineering Nanyang Technological University Singapore639798 Singapore

ISBN: (纸本)9781510671867

Based on the Proximal Policy Optimization with clipped objective (PPO-clip) algorithm framework, an autonomous maneuver decision-making method for short-range 1v1 unmanned combat aircraft vehicles (UCAVs) is designed and implemented. In this paper, the curriculum learning (CL) mechanism is used to train the maneuver decision-making model to solve the problem that the model cannot converge when fighting against complex maneuvering enemy UCAV. The entire training process is divided into 4 stages to fight against enemy UCAV, which maneuvers range from simple to complex, and finally achieve our UCAV against the enemy UCAV with intelligent maneuvers. Through four groups of simulation experiments, this paper proves the effectiveness of the PPO-clip algorithm and the curriculum learning mechanism that can speed up the convergence of the model. © 2023 SPIE.

关键词： Curricula

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3rd international conference on Artificial Intelligence, robotics, and Communication, ICAIRC 2023

3rd International Conference on Artificial Intelligence, Rob...

引用

3rd international conference on Artificial Intelligence, robotics, and Communication, ICAIRC 2023

ISBN: (纸本)9789819721993

The proceedings contain 33 papers. The special focus in this conference is on Artificial Intelligence, robotics, and Communication. The topics include: Design and Research of UAV Fire Emergency and intelligent Inspection System in the Valve Hall of Converter Station;Development Overview and Application Prospects of Advanced UUVs;bisporus Mushroom 3D Reconstruction for Digital Twin of Smart Factory;Research on Automatic Music Generation Based on LSTM;specific Emitter Identification Method Based on Aggregation Model with Metric Learning in Complex Field;fake Comment Detection Based on Generative Adversarial Networks;Shipping Risk Assessment Ship Inspection Method Based on Improved YOLOv5;spatiotemporal Prediction of Harmful Algal Blooms Based on Spatiotemporal Attention and Transformer;large-Scale Information Dissemination Algorithm Based on Random Mapping;Smoke Detection in Complex Scenery Using Improved Faster-RCNN;CoT-Enhanced CNN-ViT Fusion with Adaptive Token Learning for Precise Facial Expression Recognition;evaluation Method of Cognitive Level Based on Machine Learning and Wearable Device;ship Image Segmentation Based on Multi-dimensional Information and Feature Fusion;real-Time 6-DoF Object Pose Estimation Network Based on 2D-3D Coordinate Correspondence;traffic Light Detection Based on Deep Learning;robot Navigation Based on Reinforcement Learning: An Overview;active control Technology of Supply Chain intelligent Work Robot Based on Speech Enhancement Technology;research on Security Technology of Power Dispatching Data Network Based on Deep Learning;An Improved RRT Path Planning Method Incorporating Deep Reinforcement Learning for Space Multi-arm Robot;a Classification Denoising Algorithm Based on 3D Point Cloud Curvature;Comparative Analysis of the Effect of KPCA in PSO-GRU Combination Model.

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Hybrid drive underwater robot system solution design 3

Hybrid drive underwater robot system solution design

引用

3rd international conference on control and intelligent robotics, ICCIR 2023

作者： Yu, Xing Gan, Wenyang Chu, Zhenzhong Logistics Engineering College Shanghai Maritime University Shanghai China School of Mechanical Engineering University of Shanghai for Science and Technology Shanghai China

ISBN: (纸本)9781510671867

In order to meet the requirements of technological development and higher exploration tasks, and to improve the applicability of underwater robots, this paper combines the advantages and characteristics of remotely operated submersible and autonomous underwater vehicle, and researches and develops a new hybrid drive underwater robot, which has two modes of thruster drive and cross rudder control, with the advantages of both full drive and under drive. In full drive mode, it has the advantages of fast navigation speed and good maneuverability;in under drive mode, it has the advantages of low energy consumption and large range. Compared with conventional underwater robots, the motion of hybrid-driven underwater robots is more complex and therefore places higher demands on the system design of the robot. In this paper, a system solution design for an all-drive under-drive hybrid underwater robot is proposed, assembled in real life and tested in the water. Through validation, the feasibility of the designed solution is demonstrated, as well as achieving the goal of improving the applicability of the underwater robot. © 2023 SPIE.

关键词： Systems analysis

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A pneumatic variable stiffness elastic shaft 3

A pneumatic variable stiffness elastic shaft

引用

3rd international conference on control and intelligent robotics, ICCIR 2023

作者： Wang, Xia Geng, Dexu Peng, He Xu, Wenzhi College of Mechanical Engineering Beihua University Jilin China

ISBN: (纸本)9781510671867

Pneumatic flexible joints are widely used in agriculture, medical and environmental detection and other fields due to their advantages of flexibility and human-computer interaction safety. At present, the stiffness of the pneumatic flexible joint is insufficient and the driving ability is weak. Based on the principle of particle interference, a variable stiffness elastic shaft is proposed. The mathematical model of the variable stiffness elastic shaft is established, and the relationship between the stiffness and air pressure of the elastic shaft is analyzed, and the relevant experimental verification is carried out. The experimental results show that the elastic shaft has simple structure and good variable stiffness, and can be used as a variable stiffness part in bionic machinery such as agriculture, medical rehabilitation and service. © 2023 SPIE.

关键词： Stiffness

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Design and kinematics analysis of lower limb rehabilitation training robot 3

Design and kinematics analysis of lower limb rehabilitation ...

引用

3rd international conference on control and intelligent robotics, ICCIR 2023

作者： Zheng, Huadong Liu, Zhihao Wang, Caidong Gu, Jinglu College of Mechanical and Electrical Engineering Zhengzhou University of Light Industry Zhengzhou450002 China

ISBN: (纸本)9781510671867

As the aging of the population becomes increasingly prominent, the health risks closely related to it should be paid attention to and prevented in time. Based on researching the conditions of lower limb rehabilitation training, and analyzing the basic structure and motion mechanism of human lower limb rehabilitation training, this article proposes a design scheme of a robot for lower limb rehabilitation training. The structure design of the lower limb rehabilitation training robot with tandem and hybrid sitting posture is completed, and the kinematic model of the lower limb rehabilitation training robot is established. The rehabilitation robot can realize the pitch movement of the foot and the adjustment of the leg rehabilitation tandem mechanism, with high flexibility and universality. It can meet the needs of different patients and help patients to carry out lower limb rehabilitation training. © 2023 SPIE.

关键词： Degrees of freedom (mechanics)

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Dynamic Performance Analysis and Experimental Research of a Spherical Robot 3

Dynamic Performance Analysis and Experimental Research of a ...

引用

3rd international conference on control and intelligent robotics, ICCIR 2023

作者： Shengju, Sang Yueying, Wu Bin, Feng Mingchao, Jia Zhe, Li School of Information Science and Technology Taishan University Tai'an271000 China School of Information Science and Engineering University of Jinan Jinan250000 China

ISBN: (纸本)9781510671867

A novel driving principle of electromagnetic driven Spherical robot is proposed, combining the two principles of changing the center of mass and conservation of angular momentum, and a prototype of electromagnetic driven Spherical robot is developed. In this paper, the prototype is taken as the research object, and the dynamic analysis is carried out on its climbing ability. To improve the dynamic performance of the spherical robot, the influencing factors of the dynamic performance of the spherical robot are studied: one is the ratio of the equivalent pendulum mass m of the spherical robot to the total mass (M+m) of the spherical robot, and the other is the length of the equivalent pendulum of the spherical robot the ratio of r to the radius R of the spherical robot. Then the maximum climbing angle model of the spherical robot is deduced. The experimental results show that the design of the spherical robot is reasonable and the dynamic analysis is effective. © 2023 SPIE.

关键词： Pendulums

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