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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511-520 订阅

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Design of intelligent Access control System Based on Raspberry PI 2

Design of Intelligent Access Control System Based on Raspber...

引用

2nd international conference on Signal Processing and intelligent Computing, SPIC 2024

作者： Li, Tao Wang, Le Gao, Xing Li, Zhongyi Ye, Yingying Shenyang Ligong University School of Automation and Electrical Engineering Shenyang China

ISBN: (纸本)9798350368888

automatic access control system based on Raspberry Pi and Arduino UNO development board uses the CSI camera of Raspberry Pi to capture the face information, compare it with the face database, judge whether it meets the data in the database, and then send the signal to the Arduino UNO development board through the Bluetooth module to control the servo to simulate the opening and closing of the door. The system modules are clearly divided, the program is readable, the hardware and software are easy to modify, and it has considerable accuracy. © 2024 IEEE.

关键词： Face recognition

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Imitation Learning control Strategy Based on Probabilistic Motor primitive for Upper Limb Rehabilitation Training 11

Imitation Learning Control Strategy Based on Probabilistic M...

引用

11th IEEE international conference on Cybernetics and intelligent Systems (CIS) / 11th IEEE international conference on robotics, Automation and Mechatronics (RAM)

作者： Xie, Peimin Huang, Shuangyuan Lv, Chen Xie, Longhan South China Univ Technol Guangzhou Peoples R China Lychee Med Technol Co Ltd Guangzhou Peoples R China

ISBN: (纸本)9798350364200;9798350364194

This paper proposes an imitation learning control strategy based on Probabilistic Movement Primitives (ProMP) for upper limb rehabilitation training. The strategy involves employing a probabilistic model to capture the probability distribution of motion data, enabling the planning of rehabilitation trajectories that align with the patient's movement patterns, address limitations in motion amplitude and range, and account for uncertainty and variability in motion. This approach aims to enhance robustness in the face of noise and interference. Motion trajectory data of participants were collected using the Vicon motion capture system, and compared using the ProMP algorithm with traditional Dynamic Movement Primitives (DMP). The results indicate that trajectories generated by ProMP are smoother, more consistent, and outperform DMP in evaluation criteria such as smoothness of motion, velocity standard deviation, acceleration standard deviation, and curvature standard deviation. Furthermore, the paper discusses the utilization of speed heat maps in rehabilitation training. Speed heat maps enable the identification of high-pressure areas during movement, facilitating the optimization of rehabilitation training strategies, risk reduction, and improvement in rehabilitation outcomes. The optimized rehabilitation trajectory serves as a foundation for personalized rehabilitation plans, presenting innovative approaches to enhancing the efficacy of rehabilitation training.

关键词： upper limb exoskeleton rehabilitation probabilistic motion primitive(ProMP) imitation learning human-machine interaction

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Research and Design of an intelligent New Energy Surface Garbage Recycling Vessel Based on STM32

Research and Design of an Intelligent New Energy Surface Gar...

引用

2024 international conference on Computing, robotics and System Sciences, ICRSS 2024

作者： Shan, Yang Hao, Jianxiu Ding, Jianqun Mi, Xianwu Zhou, Chengling Zhang, Minzhe Zhang, Leqi Yuan, Jiali School of Physics Electronics and Intelligent Manufacturing Huaihua University Huaihua China Huaihua University Key Laboratory of Intelligent Control Technology for Wuling-Mountain Ecological Agriculture in Hunan Province Huaihua China

ISBN: (纸本)9798331511296

To address the issue of water surface garbage pollution, a new energy-powered intelligent water surface garbage recycling boat has been designed. The intelligent water surface garbage recycling boat takes the STM32F103 single-chip microcontroller as the core control unit. And it integrates some modules such as visual recognition, Beidou/GPS dual-mode positioning, and millimeter-wave radar. The unit module design method and the collaborative working mechanism of each module effectively guarantee the realization of the functions of the intelligent water surface garbage recycling boat. Specifically, the motor driving module ensures the normal running and steering of the water surface garbage recycling boat. Besides, the visual module facilitates garbage recycling and intelligent classification on the water surface. Moreover, the Beidou positioning module is utilized not only for daily navigation of intelligent fixed-point garbage recycling, but also for the recovery and utilization of solar and wind energy from all directions. In addition, the millimeter-wave radar on the hull can ensure the safe travelling of the garbage recycling boat comprehensively. The boat designed in this paper exhibits the characteristics of low energy consumption, high performance, and energy conservation and emission reduction. © 2024 IEEE.

关键词： Emission control

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Position and Torque Joint control for Precision Drilling in Robotic Manufacturing Applications

Position and Torque Joint Control for Precision Drilling in ...

引用

2024 ASU international conference in Emerging Technologies for Sustainability and intelligent Systems, ICETSIS 2024

作者： Khalifa, Mohamed A. Mekid, Samir N. Khan, Zeashan H. Kfupm Dept. of Mechanical Engineering Dhahran31261 Saudi Arabia IRC-IMR Kfupm Dept. of Mechanical Engineering Dhahran31261 Saudi Arabia Center for Int. Manufacturing & Robotics IRC-IMR Kfupm Dhahran31261 Saudi Arabia

ISBN: (纸本)9798350372229

Industrial robots are commonly used in various manufacturing processes within a cyber-physical system of industry 4.0 revolution. These tasks are involved with different loads and forces while interacting with the real environment. The effects of these forces can be studied by developing a dynamic model for the robotic manipulator. This research aims at solving the dynamic model of a 3-DOF planar articulated robot and finding the relation between the forces exerted by the robot and the joint torques in a drilling process. Finding the torque contribution of each joint to the output drilling force results in a variable joint torque control which allows the robot to perform manufacturing processes more efficiently. The design and analysis of a 3-DOF robotic manipulator with three revolute joints (RRR) configuration dedicated for micro-drilling is investigated in this research. Moreover, the closed loop control for the robot using Proportional-Integral-Derivative (PID) and Computed Torque control (CTC) in Matlab/Simulink. The trajectory errors are evaluated for the two controllers to compare the performance. © 2024 IEEE.

关键词： Drilling robot industry 4.0 precision control robotic manufacturing torque control

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Multi-Agent Reinforcement Learning for Side-by-Side Navigation of Autonomous Wheelchairs

Multi-Agent Reinforcement Learning for Side-by-Side Navigati...

引用

international conference on Autonomous Robot Systems and Competitions (ICARSC)

作者： Fonseca, Tiago Leao, Goncalo Ferreira, Luis Lino Sousa, Armando Severino, Ricardo Reis, Luis Paulo Polytech Porto ISEP INESC TEC Porto Portugal Univ Porto FEUP Fac Engn INESC TEC Porto Portugal Univ Porto FEUP Fac Engn LIACC Artificial Intelligence & Comp Sci Lab Porto Portugal

ISBN: (纸本)9798350352351;9798350352344

This paper explores the use of robotics and decentralized Multi-Agent Reinforcement Learning (MARL) for side-by-side navigation in intelligent Wheelchairs (IW). Evolving from a previous work approach using traditional single-agent methodologies, it adopts a Multi-Agent Deep Deterministic Policy Gradient (MADDPG) algorithm to provide control input and enable a pair of IW to be deployed as decentralized computing agents in real-world environments, discarding the need to rely on communication between each other. In this study, the Flatland 2D simulator, in conjunction with the Robot Operating System (ROS), is used as a realistic environment to train and test the navigation algorithm. An overhaul of the reward function is introduced, which now provides individual rewards for each agent and revised reward incentives. Additionally, the logic for identifying side-by-side navigation was improved, to encourage dynamic alignment control. The preliminary results outline a promising research direction, with the IWs learning to navigate in various realistic hallways testing scenarios. The outcome also suggests that while the MADDPG approach holds potential over single-agent techniques for the decentralized IW robotics application, further investigation are needed for real-world deployment.

关键词： intelligent robotics Multi-Agent Reinforcement Learning Robot Operating System (ROS)

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Research and Applications of Autonomous Driving Technology Based on Mechanical and Electrical control

Research and Applications of Autonomous Driving Technology B...

引用

2024 international conference on Power, Electrical Engineering, Electronics and control, PEEEC 2024

作者： Tao, Yufei Luo, Lan University of Debrecen Debrecen Hungary Central South University Changsha China

ISBN: (纸本)9798350378917

With the rapid development of technology, autonomous driving technology has gradually become a research hotspot in the automotive industry. This article proposes a new design scheme for an intelligent vehicle autonomous driving control system. The scheme involves modifying the steering, throttle, and braking systems of manned vehicles with appropriate mechanical structures, installing relevant automatic control devices, and establishing distributed connections between each system and the upper intelligent control computer through CAN. This article focuses on the autonomous needs of intelligent driving wire control system technology and completes the selection of various actuators for the chassis wire control system. Test experiments and vehicle integration tests have shown that this design scheme can achieve the goal of precise control of the underlying subsystems by the upper control computer. The system has high reliability, and the tracking error of the parking trajectory is within the allowable range. The parking path designed based on curves is effective. This article lays the foundation for further research on unmanned and intelligent control of vehicles based on electromechanical technology. © 2024 IEEE.

关键词： Automotive industry

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Mobile Robot Autonomous Exploration Method with Improved Weighted Centroid and Multi-Objective Optimization 14

Mobile Robot Autonomous Exploration Method with Improved Wei...

引用

14th IEEE international conference on Cyber Technology in Automation, control, and intelligent Systems, CYBER 2024

作者： Zhang, Yuze Shao, Shiliang Wang, Ting Cao, Fengkui Xu, Huiyang Shi, Xianyu Zhong, Ling School of Software Shenyang University of Technology Shenyang110870 China Shenyang Institute of Automation Chinese Academy of Sciences State Key Laboratory of Robotics Shenyang110016 China Institudes for Robotics and Intelligent Manufacturing Chinese Academy of Sciences Shenyang110169 China University of Chinese Academy of Sciences Beijing100049 China

ISBN: (纸本)9798331506056

The frontier based exploration method is a traditional and direct method, which has the problems of redundancy of sensor observation range and simple frontier point selection rule. Based on the traditional frontier exploration, the process of identifying the frontier centroid points is improved, and the weight of each point is applied to represent the importance of different points to the exploration. Secondly, in view of the shortage of the traditional greedy strategy, the cost of avoiding obstacles and other factors are comprehensively considered, so as to adapt to a more complex environment. The experimental results show that the proposed method has high exploration efficiency and can complete the environment construction independently. © 2024 IEEE.

关键词： Mobile robots

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Design and Implementation of Smart Home Temperature control System 3

Design and Implementation of Smart Home Temperature Control ...

引用

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

作者： Zhou, Hongli School of Electronic Information Engineering Ningxia Institute of Science and Technology Ningxia China

ISBN: (纸本)9781510671867

As modernization advances, people demand a better life with the prime demand for building a living environment, which is simple, convenient, intelligent, environmentally friendly, safe, and reliable. In this paper, a smart home temperature control system is designed, with the Internet of Things technology as the core. It achieves control through information collection, data upload, command delivery, and automatic control. The network protocol is used to upload data information to the cloud platform in real-time, so as to realize the overall intelligent home temperature control system design, which can solve the problems of uncomfortable indoor temperature and humidity, high carbon dioxide concentration, high methane concentration, etc. It provides supplementary and technical support to realize intelligent urban life and adapt to modern, fast-paced urban life. © 2023 SPIE.

关键词： Automation

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A Real-time Local Planner Design for Smart Wheelchairs Based on Koopman Bilinear Model Predictive control

A Real-time Local Planner Design for Smart Wheelchairs Based...

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2024 IEEE international conference on Real-Time Computing and robotics, RCAR 2024

作者： Yu, Guanfeng Zhang, Han Wang, Zehao Wang, Jingchuan Shanghai Jiao Tong University Institute of Medical Robotics Department of Automation China Ministry of Education of China Key Laboratory of System Control and Information Processing China Shanghai Engineering Research Center of Intelligent Control and Management Shanghai200240 China

ISBN: (纸本)9798350372601

The paper introduces a Koopman bilinear model predictive control (KBMPC) as a local planner for smart wheelchair systems. This approach leverages the Koopman Operator to streamline the nonlinear terms in MPC, aiming to achieve superior real-time performance. In particular, we employ the Extended Dynamic Mode Decomposition (EDMD) method to approximate the infinite dimensional Koopman operator. To tackle the challenge of designing lifting functions, we systematically utilize the derivatives of known nonlinear structures to methodically derive lifting functions. This systematic approach facilitates the identification of a precise bilinear model. Next, we formulate the corresponding Koopman bilinear MPC problem. Finally, an iterative algorithm is employed to efficiently solve the KBMPC problem. This method linearizes the bilinear model around estimations and iteratively solves the resulting quadratic programming problem to refine estimations. This allows KBMPC to function as a real-time local planner for smart wheelchairs. The prediction of nonlinear terms shows that the identified Koopman bilinear model increases the prediction accuracy. Furthermore, experiments demonstrate the advantages of the designed KBMPC local planner, highlighting its superior real-time performance and predictive capabilities. © 2024 IEEE.

关键词： Iterative methods

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2024 8th international conference on robotics, control and Automation, ICRCA 2024

2024 8th International Conference on Robotics, Control and A...

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8th international conference on robotics, control and Automation, ICRCA 2024

ISBN: (纸本)9798350344721

The proceedings contain 85 papers. The topics discussed include: a hybrid method for INS/GPS integrated navigation system based on the improved Karman filter and back propagation neural network;development of Simulink-based physical experiment platform for EtherCAT bipedal robots;a biogeography-based optimization algorithm with heuristics for distributed multiproduct scheduling problem;research on low energy consumption AC system control strategy of battery electric vehicles;flyback converter modeling and overload control characteristics for power supply based on state space averaging;a simple confidence-supervised model for high resolution defect recognition;research and development of intelligent warehouse management system based on RFID technology;research on methods of vehicle image retrieval in expressway scenarios based on deep learning neural network;and motion simulation control system of detecting robot based on digital twin.

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