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检索条件"任意字段=2024 International Conference on Intelligent Robotics and Automatic Control"

共 5267 条记录，以下是491-500 订阅

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Design of Optimal control System for AGV Power Converter 17th

Design of Optimal Control System for AGV Power Converter

引用

17th international conference on intelligent robotics and Applications

作者： Meng, Yuming Wang, Ziyu Wang, Song Li, Duanling Beijing Univ Posts & Telecommun Beijing 100876 Peoples R China

ISBN: (纸本)9789819607709;9789819607716

There are the current issues of unification, inefficiency, and low precision in the control strategies of unmanned vehicles across various scenarios. The optimal control system for AGVs is the critical research. Firstly, the kinematic characteristics of AGVs is analyzed. A three-dimensional model of a dual-drive differential speed unmanned vehicle is built with CoppeliaSim. Then a trajectory tracking algorithm is designed based on the concept of the PID algorithm to enhance the precision of AGV control. Simulation is conducted through communication between MATLAB and CoppeliaSim, Additionally, the various speed planning models are analysis. An AGV speed planning decision model is provided. The indicators for evaluating the optimal control system is established. Four types of speed planning models are solved by MATLAB. Precise controlling of unmanned vehicles is achieved in multiple scenarios.

关键词： AGV Motion Digital Twin Trajectory Tracking Optimal control

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Obstacles Avoidance Path Planning for Mobile Robot Based on Cellular Automata 6

Obstacles Avoidance Path Planning for Mobile Robot Based on ...

引用

6th international conference on robotics, intelligent control and Artificial Intelligence, RICAI 2024

作者： Li, Lili Li, Wenwei Huang, Jinglun School of Automation Science and Engineering South China University of Technology Guangzhou China Institute of Intelligent Manufacturing Shunde Polytechnic Foshan China Department of Technical Research South China Robotics Innovation Research Institute Foshan China Foshan Zhiyouren Technology Co. Ltd. Foshan China School of Electronics and Information Engineering Wuyi University Jiangmen China

ISBN: (纸本)9798331541699

In order to quickly plan the shortest path for mobile robot in two-dimensional space, a two-stage obstacles avoidance path planning algorithm based on cellular automata was presented in this paper. For the first stage, the distance between each free cell to the ending cell was gradually generated by the evolution of cellular automata, and the algorithm’s cellular space, cellular states, Moore type neighbors and evolutionary rules were described, respectively. For the second stage, by using the idea of the negative gradient, a method of generating the shortest path based on the cells’ state values was proposed. Accordingly, the corresponding flow chart and Matlab programme of the algorithm were designed. The effectiveness of the algorithm was verified by the simulation and the physical experiment. The results showed that the shortest path in complex environment can be efficiently planned by using our cellular automata algorithm. © 2024 IEEE.

关键词： Microrobots

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Real-Time Semantic Segmentation for Autonomous Scale Cars using Mixed Real and Synthetic Data 10

Real-Time Semantic Segmentation for Autonomous Scale Cars us...

引用

10th international conference on Mechatronics and robotics Engineering (ICMRE)

作者： Ehrenfeuchter, Steffen Corlito, Roberto Marchthaler, Reiner Enzweiler, Markus Esslingen Univ Appl Sci Inst Intelligent Syst Esslingen Germany

ISBN: (纸本)9798350394283;9798350394276

This paper presents a real-time semantic segmentation framework for camera-based environment perception of objects and infrastructure elements in autonomous scale cars. It is specifically targeted towards student competitions such as the Carolo Cup or the Bosch Future Mobility Challenge. To reduce pixel-wise manual annotation efforts, our framework involves a mixture of both synthetic and real image data, carefully tuned towards the unique requirements of the given scenario. Real images are acquired from a 1:10 scale vehicle equipped with a single monocular camera and are manually annotated. Synthetic image data with automatic pixel-wise annotation is obtained via a custom Unity-based simulation pipeline. We evaluate various mixed real-synthetic data strategies to train different state-of-the-art deep neural networks with a focus on both segmentation performance and real-time capability using an NVIDIA Jetson AGX Xavier platform as in-vehicle test bed. Our experimental results show a significant improvement in semantic segmentation performance of the mixed real-synthetic data approach at real-time speeds of approximately 60 FPS on the target platform.

关键词： Mobile robotics Autonomous Systems Robot Intelligence and Learning Signal and Image Processing

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intelligent Beverage Filling control System Design 24

Intelligent Beverage Filling Control System Design

引用

5th international conference on Computer Information and Big Data Applications, CIBDA 2024

作者： Shi, Hailong Hou, Xujie Xie, Yonghui College of Mechanical and Electrical Engineering of Weifang Vocational College Shandong China

ISBN: (纸本)9798400718106

In order to improve the filling efficiency of beverage filling machine and enhance the automation and intelligence level, this paper designs an intelligent beverage filling control system. By analyzing the process flow of the filling system, the control mode of PLC+HMI is determined. On the hardware system, PLC, servo, inverter and other devices are designed and selected. Software system through the PLC and HMI control, can be in the conveyor belt without stopping, through the servo motor to complete the automatic tracking filling. © 2024 ACM.

关键词： Filling

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Design and Simulation of a Novel Humanoid Robotic Arm 7

Design and Simulation of a Novel Humanoid Robotic Arm

引用

7th international conference on robotics, control and Automation Engineering, RCAE 2024

作者： Hu, Yuhang Xu, Chanchan Wang, Yucheng Wang, Xiaojie Chinese Academy of Sciences University of Science and Technology of China Institute of Intelligent Machines Hefei Institutes of Physical Science Hefei China Chinese Academy of Sciences Institute of Intelligent Machines Hefei Institutes of Physical Science Hefei China

ISBN: (纸本)9798350355642

This paper introduces a novel robotic arm that achieves remote driving of each joint through a specialized transmission design, enabling motors and other drive components to be mounted on the base. This reduces the ineffective load on the robotic arm and improves its motion performance. The arm comprises a base, shoulder joint, elbow joint, wrist joint, and hand. The shoulder and wrist joints utilize 3-degree-of-freedom (3-DOF) 3 Revolute-Revolute-Revolute (3-RRR) spherical parallel mechanisms, connected by a 1-DOF elbow joint, resulting in a total of 7 degrees of freedom. This paper discusses forward and inverse kinematic analysis, and simulation validation of the robotic arm, ultimately demonstrating its human-like motion capabilities and performance. © 2024 IEEE.

关键词： Robotic arms

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State-of-the-art Research in Perception and control of Lower Limb Exoskeletons: A Systematic Review 3

State-of-the-art Research in Perception and Control of Lower...

引用

3rd international conference on Service robotics, ICoSR 2024

作者： Luo, Xiaofeng Ma, Yang Cai, Zhibin Zhou, Tianqi Liu, Xiaoyu Long, Yi Weapon Equipment Research Institute China Ordnance Industries Group Beijing China School of Mechanical Engineering and Automation Northeastern University Shenyang China Northeastern University Faculty of Robot Science and Engineering Shenyang China Foshan Graduate School of Innovation Northeastern University Foshan China

ISBN: (纸本)9798350367119

The lower limb exoskeleton is an intelligent robot worn by the human body and moves in coordination with the human limbs. It can enhance the human body's weight-bearing capacity, maneuverability and operation capabilities. Perception and control, as the brain of the exoskeleton robot, directly determine its collaborative performance and auxiliary effect with the main body. However, the current lower limb exoskeleton has not been widely adopted. One of the reasons is that the 'brain' of the exoskeleton robot is not intelligent enough. Therefore, this article reviewed relevant literature on lower limb exoskeleton sensing and control technology in the past five years, and studied the impact of different sensing methods and control strategies on exoskeleton performance. In addition, this article discusses the current challenges of lower limb exoskeletons and provides some innovative insights into future research directions to promote the further development of lower limb exoskeleton technology. © 2024 IEEE.

关键词： Exoskeleton (robotics)

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Case-based Reasoning Recommender System for Dynamic Quality control Plan 10

Case-based Reasoning Recommender System for Dynamic Quality ...

引用

10th international conference on control, Decision and Information Technologies (CoDIT)

作者： Oukhay, Fadwa Ben Romdhane, Taieb Ben Ahmed, Asma Gueidi, Afef Univ Carthage Lab Informat Syst Ind LISI INSAT Tunis Tunisia

ISBN: (纸本)9798350373981;9798350373974

In today's fast-changing business environment, organizations need to be adaptable and responsive to change. Effective decision-making enables companies to cope with uncertainty and adjust their strategies and operations promptly. In this context, the emergence of intelligent decision support systems (DSS) shows great promise. These systems enable companies to analyze data, identify patterns, and offer valuable insights to facilitate informed decision-making. An intelligent DSS for updating control plans is presented in this paper. The proposed system incorporates two methods to assist the decision-maker in choosing the optimal control scenario. The first involves making a manual decision based on several criteria. The second uses the case-based reasoning (CBR) technique to make an automatic recommendation. Moreover, the suggested recommender system (RS) enables the control plans to be updated regularly depending on the current state of the process quality. To increase the quality of decisions, CBR is used to acquire the necessary knowledge. The viability and applicability of the suggested RS are demonstrated through a practical case study.

关键词： Case based reasoning

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Human Activity Classification: A LSTM and MediaPipe Approach for intelligent Systems Application 6

Human Activity Classification: A LSTM and MediaPipe Approach...

引用

6th international conference on control and robotics, ICCR 2024

作者： Chen, Yi-An Yang, Pei-Ching Chang Jung Christian University Master Degree Program in Information and Design Tainan Taiwan Chang Jung Christian University Department of Computer Science and Information Engineering Tainan Taiwan Chang Jung Christian University Artificial Intelligence Research Center Tainan Taiwan

ISBN: (纸本)9798331518158

With advancements in artificial intelligence, computer vision technologies have seen significant progress, enabling applications like facial recognition, autonomous driving, and medical imaging. This study leverages the Multi-Camera Action Dataset (MCAD) and MediaPipe Pose to create a skeletal dataset for training a Long Short-Term Memory (LSTM) model to recognize 18 types of daily actions. Evaluation using confusion matrix and F1 score reveals that Action 16 (Object Carry) is often misclassified as Action 7 (Walk) due to similar leg movements, and Action 9 (Cell to Ear) as Action 1 (Wave) due to similar hand movements. Future work aims to enhance model accuracy and explore broader applications in physical activity and exercise analysis. © 2024 IEEE.

关键词： intelligent systems

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Research on Reliability of automatic control of intelligent Robot 13th

Research on Reliability of Automatic Control of Intelligent ...

引用

13th international conference on Frontier Computing, FC 2023

作者： Zihan, Wang Robot Engineering School of Electrical Information Southwest Petroleum University Sichuan Chengdu610000 China

ISBN: (纸本)9789819995370

The research on automatic control reliability of intelligent robots is a research project carried out by the Institute of automatic control, Chinese Academy of Sciences in recent years. The main purpose is to study the reliability and robustness of the intelligent robot control system. In this paper, we will focus on the design and analysis of reliable and robust controllers for intelligent robots. We also discussed some practical applications related to our work. In this paper, aiming at the problems of frequent maintenance and low work efficiency caused by the accuracy of automatic robots in the actual working environment, the calculation method of automatic control reliability of intelligent robots is studied. Starting from the use of tools for mechanical accuracy reliability analysis, analyze the calculation process of mechanical motion reliability, establish a virtual prototype, and discuss the variables. The experimental results show that the reliability calculation method of robot automation designed in this paper is effective. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd 2024.

关键词： intelligent robots

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Research on Adaptive On-Demand Assistive control Strategy for Upper Limb Rehabilitation Robot 4

Research on Adaptive On-Demand Assistive Control Strategy fo...

引用

4th international conference on Artificial Intelligence, robotics, and Communication, ICAIRC 2024

作者： Zheng, Haoyue Wang, Zhiming Shanghai University School of Mechatronic Engineering and Automation China

ISBN: (纸本)9798331531225

Currently, upper limb exoskeleton rehabilitation robots provide the same level of assistance to different patients during active rehabilitation training, which prevents patients from fully utilizing their own initiative and thus affects the rehabilitation effect. To address this issue, this paper proposes an adaptive on-demand assistive control strategy based on impedance control for upper limbs. By establishing two modules of on-demand assistive control and trajectory tracking control, combined with methods of assessing limb movement state and on-demand control to adapt to the needs of patients at different stages of rehabilitation, the system achieves automatic adjustment of the assistive force size through synovial control, thereby maximizing the patient's moment of main force. The experimental results show that the adaptive assistive force system, compared with traditional methods, provides an average assistive force that is reduced by 41.9% under the same limb movement state coefficient, and can gradually reduce the assistive force provided according to the patient's recovery of motor ability. This indicates that the method is highly adaptable to different patients and can effectively enhance the patient's initiative in rehabilitation training, thereby improving the rehabilitation effect. © 2024 IEEE.

关键词： Exoskeleton (robotics)

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