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

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2024 4th international conference on Computer, control and robotics, ICCCR 2024

2024 4th International Conference on Computer, Control and R...

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4th international conference on Computer, control and robotics, ICCCR 2024

ISBN: (纸本)9798350373141

The proceedings contain 70 papers. The topics discussed include: Frustum PointVoxel-RCNN: a high-performance framework for accurate 3D object detection in point clouds and images;design of intelligent pet drying system based on OpenMv;a multimodal knowledge representation method for fake news detection;computer and vision aided mapping in farmer's market and visually aided shopping strategy for visually impaired individuals;knowledge exploring on the medication regularity of the infectious fever treatment in Wai Tai Mi Yao based on cluster analysis and association rules;comparative analysis of deep learning-based defect monitoring in metal additive manufacturing;simulation analysis of two-phase flow field in robotic sand blasting with aluminum alloy car body;and a reinforcement learning driven iterated greedy algorithm for energy-efficiency flexible job-shop scheduling problem.

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CIS-RAM 2024 - 2024 IEEE international conference on Cybernetics and intelligent Systems and IEEE international conference on robotics, Automation and Mechatronics

CIS-RAM 2024 - 2024 IEEE International Conference on Cyberne...

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11th IEEE international conference on Cybernetics and intelligent Systems and 11th IEEE international conference on robotics, Automation and Mechatronics, CIS-RAM 2024

ISBN: (纸本)9798350364194

The proceedings contain 98 papers. The topics discussed include: crop-picking robot grasping system based on deep learning;action-infused reinforcement learning for predicting vascular ultrasound images;confidence-driven adaptive optimal impedance control base on ultrasound robot system;application of Cycle-GAN-based water surface highlight removal network in inland water scenes;ARANet: attention-based residual adversarial network with deep supervision for radiotherapy dose prediction of cervical cancer;towards safe and efficient last-mile delivery: a multi-modal socially aware navigation framework for autonomous robots on pedestrian-crowded sidewalks;linkage couples based endoscope-holder robot with enhanced bending curvature for laparoscopic surgery;and tactile-guided automated robotic wiping.

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T-Bot: A Programmable Platform for Morphogenesis in Robot Swarms

T-Bot: A Programmable Platform for Morphogenesis in Robot Sw...

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2024 IEEE international conference on robotics and Biomimetics, ROBIO 2024

作者： Wang, Yu Pan, Mengyun Qin, Xiaoyang Hao, Lina Yang, Yongliang Shenyang Institute of Automation Chinese Academy of Sciences State Key Laboratory of Robotics Shenyang110016 China School of Mechanical Engineering and Automation Northeastern University Shenyang110819 China

ISBN: (纸本)9781665481090

The field of robotic self-organizing morphogenesis has traditionally relied on sensing and feedback mechanisms, limiting the robustness of robotic systems in dynamic environments. Recently, the swarms of robots with minimum computational and perceptional capabilities have been developed to achieve global morphogenesis through physical interactions among robots. The automation level of these systems, however, is still limited. Here, we developed the T-bot platform, which is capable of automatic programming. The T-bot system adopts a rule-based control strategy utilizing programmable, automatically switched magnetic shells. These shells mimic differences in cell adhesion by altering the magnetic distribution along the shell, achieving morphogenesis without external sensors or feedback mechanisms. This design improves the robustness of the robotic system. The T-bot assembles pieces to form specific shapes and automatically adjusts its morphology according to task requirements. The T-bot system demonstrates morphogenesis by transitioning between predefined shapes and maintaining effectiveness even when some components fail. The successful application of DAH-inspired programmable magnetic shells opens new avenues for the design of intelligent robotic systems, potentially transforming their applications in various dynamic and unpredictable environments. © 2024 IEEE.

关键词： Cell adhesion

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Risk-Aware Non-Myopic Motion Planner for Large-Scale Robotic Swarm Using CVaR Constraints

Risk-Aware Non-Myopic Motion Planner for Large-Scale Robotic...

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2024 international conference on intelligent Robots and Systems

作者： Yang, Xuru Hu, Yunze Gao, Han Ding, Kang Li, Zhaoyang Zhu, Pingping Sun, Ying Liu, Chang Peking Univ Coll Engn Dept Adv Mfg & Robot Beijing 100871 Peoples R China Tsinghua Univ Dept Automat Beijing 100080 Peoples R China Marshall Univ Dept Comp Sci & Elect Engn CSEE Huntington WV 25755 USA Penn State Univ Sch Elect Engn & Comp Sci State Coll PA 16802 USA

ISBN: (纸本)9798350377712;9798350377705

Swarm robotics has garnered significant attention due to its ability to accomplish elaborate and synchronized tasks. Existing methodologies for motion planning of swarm robotic systems mainly encounter difficulties in scalability and safety guarantee. To address these limitations, we propose a Risk-aware swarm mOtion planner using conditional ValuE-at-Risk (ROVER) that systematically navigates large-scale swarms through cluttered environments while ensuring safety. ROVER formulates a finite-time model predictive control (FTMPC) problem predicated upon the macroscopic state of the robot swarm represented by a Gaussian Mixture Model (GMM) and integrates conditional value-at-risk (CVaR) to ensure collision avoidance. The key component of ROVER is imposing a CVaR constraint on the distribution of the Signed Distance Function between the swarm GMM and obstacles in the FTMPC to enforce collision avoidance. Utilizing the analytical expression of CVaR of a GMM derived in this work, we develop a computationally efficient solution to solve the non-linear constrained FTMPC through sequential linear programming. Simulations and comparisons with representative benchmark approaches demonstrate the effectiveness of ROVER in flexibility, scalability, and safety guarantee.

关键词： Predictive control systems

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2024 IEEE 7th international conference on Soft robotics, RoboSoft 2024

2024 IEEE 7th International Conference on Soft Robotics, Rob...

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7th IEEE international conference on Soft robotics, RoboSoft 2024

ISBN: (纸本)9798350381818

The proceedings contain 143 papers. The topics discussed include: down the rabbit hole: exploiting airflow interactions for morphologically intelligent retracting vacuum grippers;soft robotics for space applications: towards a family of locomotion platforms;design and characterization of a pneumatic tunable-stiffness bellows actuator;real-time grocery packing by integrating vision, tactile sensing, and soft fingers;a modular pneumatic soft gripper design for aerial grasping and landing;directing anisotropic friction and compliant structures towards in-pipe locomotion & navigation;designing fluid-exuding cartilage for biomimetic robots mimicking human joint lubrication function;FDM printing: a fabrication method for fluidic soft circuits?;and one-piece 3D-printed pneumatic catheter: dual-segment design with integrated robotics control for endovascular interventions.

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2024 10th international conference on Artificial Intelligence and robotics, QICAR 2024

2024 10th International Conference on Artificial Intelligenc...

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10th international conference on Artificial Intelligence and robotics, QICAR 2024

ISBN: (纸本)9798350348873

The proceedings contain 64 papers. The topics discussed include: using weighted mixture policy prior achieving individual optimal policies in nonstationary environments;dimension reduction effects on heart disease diagnosis using machine learning techniques;optimized sliding mode control via genetic algorithm for quad tilt-wing UAVs;mathematical optimization for analyzing performance metrics of Facebook posts;an intelligent diagnosis system for predicting coronary heart disease;acceleration object detection using FPGA platform based on improved CNN;identify the factors influencing suicide among Ardabil city people using feature selection;a hybrid deep learning model for 5-digit handwritten recognition;and predicting disease severity in patients with impaired muscle control using voice parameters and linear regression.

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Research Progress and Application of Multifunctional Piezoelectric Hydrogels 14

Research Progress and Application of Multifunctional Piezoel...

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

作者： Guo, Jiaduo Zhang, Qi Gai, Dongze Yang, Lianchao Liang, Wenfeng Zhang, Chuang School of Mechanical Engineering Shenyang Jianzhu University 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 Shenyang110169 China University of Chinese Academy of Sciences Beijing100049 China School of Computer Science and Engineering Shenyang Jianzhu University Shenyang110168 China

ISBN: (纸本)9798331506056

Piezoelectric hydrogels are unique materials endowed with piezoelectric properties, rendering them highly versatile for various applications. Characterized by excellent flexibility, biocompatibility, adjustability, rapid response capability, heightened sensitivity, and environmental adaptability, it exhibits a remarkable ability to convert mechanical energy into electrical energy and vice versa when subjected to external forces. This distinctive feature makes it an ideal candidate for integration into bio-syncretic robots. Despite its potential, the literature primarily focuses on singular applications of piezoelectric hydrogels, neglecting their broader scope. Therefore, this review aims to systematically introduce and classify piezoelectric hydrogels, while comprehensively exploring their diverse applications in sensing, energy conversion, and biomedicine within the realm of bio-syncretic robotics. Furthermore, this paper sheds light on the current limitations of piezoelectric hydrogels and proposes avenues for their future development, thereby offering valuable insights into advancing this promising field. © 2024 IEEE.

关键词： Piezoelectricity

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Design and Implementation of a Software-Hardware Integrated Motion Target control and automatic Tracking System Based on Communication Engineering 6

Design and Implementation of a Software-Hardware Integrated ...

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6th IEEE international conference on Power, intelligent Computing and Systems, ICPICS 2024

作者： Pang, Anqi Li, Muqi Xiong, Yuhan Shandong University of Science and Technology Electrical Information Department Jinan250031 China

ISBN: (纸本)9798350374315

This paper designs a motion target control and automatic tracking system integrating both software and hardware, aimed at applications in communication engineering. The system consists of a main control module, a two-dimensional electric control gimbal, a vision recognition module, and a display module. The system adopts the STM32F103C8T6 microcontroller as the main control chip, utilizing the OpenMV vision module for image processing through color filtering and edge detection to obtain the coordinates of light spots and rectangles. A PID algorithm is employed to precisely adjust the servos, controlling the gimbal's rotation to achieve the motion of the laser pointer's light spot. The system successfully implements functions such as light spot motion, reset, and automatic tracking, accurately completing tasks within the specified time and demonstrating excellent robustness. Additionally, the system features a human-machine interaction interface, capable of displaying the light spot position information in real-time on an LCD screen. It exhibits superior performance and rapid response, making it suitable for various automatic tracking target applications within the field of communication engineering. © 2024 IEEE.

关键词： Liquid crystal displays

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State of the Art and Development Trends for Inspection Robots Applied in Substations 24

State of the Art and Development Trends for Inspection Robot...

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4th international conference on control and intelligent robotics, ICCIR 2024

作者： Li, Li Xu, Ke Ye, Fei Liu, Zhichao Liu, Yanhong Hu, Hao Department of Science and Technology Innovation State Grid Intelligence Technology Co. Ltd Jinan China Development Planning Department State Grid Heze Power Supply Company Heze China International Standards Department Institute of Technology and International Standard Co. Ltd Beijing China

ISBN: (纸本)9798400709937

This document introduces the sate of the art of substation inspection robot which is an autonomous robotic system for inspecting equipment in substations. An overview of the existing robotics is presented, including robotics from China, the USA, New Zealand, Japan and France. And some common technology characteristics are analyzed to identify the needs for the utilities and international standards development. At the end, development trends are presented based on the market needs and technology development. © 2024 Copyright held by the owner/author(s). Publication rights licensed to ACM.

关键词： Inspection equipment

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A Multi-party Asymmetric Self-play Algorithm and Its Application in Multi-USV Adversarial Game Simulations 24

A Multi-party Asymmetric Self-play Algorithm and Its Applica...

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2024 international conference on Machine Learning, Pattern Recognition and Automation Engineering, MLPRAE 2024

作者： Rao, Jinjun Wang, Cong Liu, Mei Lei, Jingtao Giernacki, Wojciech Department of Precision Mechanical Engineering School of Mechatronic Engineering and Automation Shanghai University China Institute of Robotics and Machine Intelligence Faculty of Automatic Control Robotics and Electrical Engineering Poznan University of Technology Poland

ISBN: (纸本)9798400709876

Aiming at the problem that the combination of self-play (SP) and deep reinforcement learning (DRL) only involves two-party games and the policy learning of each party is limited, a multi-party asymmetric self-play algorithm (MASP) is proposed. Firstly, by improving the ELO scoring system, the ELO scoring takes into account each party of the unmanned surface vehicle (USV) clusters, and the imbalance of the number of USV clusters, so that the frequency of exchanging strategies of all USV clusters in the confrontation process is equal. Secondly, it ensures that USV clusters have a balanced combat ability, and at the same time ensures that the combat ability of all parties is strong and weak and the gap is not too wide. In addition, the parameters are dynamically set to reduce the update frequency of the policy of the stronger party. The experimental results show that the MASP can make the USV clusters learn more effective policies, have a shorter game time, and obtain higher rewards and ELO scores in the simple 2v2 adversarial game scenario and the three-party game scenario of a warship escort mission. © 2024 ACM.

关键词： Deep reinforcement learning

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