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检索条件"任意字段=International Conference on Pattern Analysis and Intelligence Robotics"

共 15865 条记录，以下是61-70 订阅

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Empathetic Variations Between Offensive Language and Sentiment in Kuwaiti Dialect 4

Empathetic Variations Between Offensive Language and Sentime...

引用

4th international conference on robotics, Automation, and Artificial intelligence, RAAI 2024

作者： Husain, Fatemah A. Kuwait University Sabah Al-Salem Kuwait University City Department of Information Science Kuwait

ISBN: (纸本)9798331520038

Online user-generated content platforms offer a space for anyone to communicate with others and share their thoughts publicly online, with or without their identity being disclosed. This feature makes online conversations more depen-dent on users' empathetic attitudes. More offensive language is displayed in conversations when participants have negative empathy and less when they share positive empathy toward each other. Accordingly, this study aims to conduct a preliminary study for the first Kuwaiti offensive language and sentiment analysis dataset and provide a lexicon-based approach to analyzing the empathetic content of each task. Our results demonstrate the positive potential of our approach as it shows some valuable and noticeable empathetic patterns under each subset from the dataset based on their offensiveness and sentiment labels. © 2024 IEEE.

关键词： Sentiment analysis

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Top-Down Grasping Points Detection in patterns Designs 24

Top-Down Grasping Points Detection in Patterns Designs

引用

8th international conference on Advances in Artificial intelligence, ICAAI 2024

作者： Costa, Daniel Cruz, Joao Barros, Gualter Jesus, Jose Hugo Gomes da Silva, Lara Leitao, Luis Rodrigues, Nelson R.P. Digital Transition Department Citeve Vila Nova de Famalicao Braga Portugal ESI Robotics Vila Nova de Famalicao Braga Portugal

ISBN: (纸本)9798400718014

The textile industry has a shortage of skilled workers and faces difficulties in attracting people to work in. The adoption of robotic and automation solutions in manufacturing could be the path to reduce the dependency of the fashion and textile industry. One of the manufacturing operations is the cutting process of fabrics. There are cutting tables in which countless patterns of clothing with any type of dimension and design are cut on 2D. At the end of the process, it is normal to have operators removing and dividing the pattern designs by type. This article focuses on the application of deep learning algorithms to detect the grasping points of pattern designs. This article provides a new Citeve pattern Grasps Dataset (CTVG), that encapsulates various pattern designs and the ideal grasping points for each. It also shows a working Top-Down method, that integrates a pattern design detector (YOLO) and a grasping point detector (GNN), based on GR-ConvNet, effectively isolating each pattern design and calculates the grasping points, in real-time. © 2024 Copyright held by the owner/author(s).

关键词： Textile industry

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The impact of analysis Suicide using machine learning algorithms in Ardabil: A performance analysis using machine learning algorithms in analysis Suicide 10

The impact of analysis Suicide using machine learning algori...

引用

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

作者： Abdollahi, Jafar Amani, Firouz Department of Computer Engineering Ardabil Branch Islamic Azad University Ardabil Iran Department of Community Medicine School of Medicine Ardabil University of Medical Science Ardabil Iran

ISBN: (纸本)9798350348873

Suicide in Iran is believed to be a growing concern over recent years. According to World Health Organization, in 2019, the suicide rate in Iran was 5.20 in every 100,000 people. In that year, the rate of suicide based on gender was 2.80 for women and 7.70 for men. This article examines an attempt to determine the role of clustering algorithms (Filter, Wrapper, embedding, and machine learning algorithms) in identifying effective factors in suicide attempts. We focus on developing feature selection methods that distinguish between high-variance features in the likelihood of individuals committing suicide. Suicide dataset is collected from an Ardabil University of medical sciences containing 600 patient reports with 28 attributes. ©2024 IEEE.

关键词： Decision trees

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Classical Mechanics-based Kinematic analysis of a Specific Microrobot 6

Classical Mechanics-based Kinematic Analysis of a Specific M...

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6th international conference on robotics, Intelligent Control and Artificial intelligence, RICAI 2024

作者： Zhang, Xiao Wang, Jingqi Zhu, Kaiyun Li, Haiwang Zhai, Yanxin Xu, Tiantong Research Institute of Aero Engine Beihang University Beijing China Huawei Technologies Co. Ltd Shenzhen China

ISBN: (纸本)9798331541699

Detailed kinematic analysis is a necessary part of microrobot research, which is an important reference for the selection and determination of robot structural parameters, the optimisation analysis of motion performance, and the selection of robot control strategies. In this paper, we derive detailed equations of motion for a microrobot with bionic inchworm motion based on the theory of classical mechanics, thus obtaining a theoretical design method for a microrobot based on low-frequency motion performance. Comparison of the predicted kinematic data of the microrobot with the experimental data using the theoretical formulas revealed an error of less than 6.1%. This results in a theoretical kinematic predictive design method for microbots, which can provide a reference for the design of such inchworm-type microbots. © 2024 IEEE.

关键词： Microrobots

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Online Surveying System for Experimentally Testing the Human Perception of Visual Gestures 9

Online Surveying System for Experimentally Testing the Human...

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9th international conference on Automation, robotics and Applications (ICARA)

作者： Domonkos, Mark Treso, Adam Botzhcim, Janson Eotvos Lorand Univ Fac Informat Dept Artificial Intelligence H-1117 Budapest Hungary

ISBN: (纸本)9781665489218

In this paper, we would like to emphasize the need for an intuitive and easy-to-understand way of communication during a Human-Robot Collaboration (HRC) mainly in industrial scenarios. With the new communication design, the mental demands of the human workforce during collaboration can be lowered by the feedback given by the robot in a situation-aware way. This kind of feedback in close cooperation can maintain high importance in a manufacturing scenario. Another goal of this paper is to present the progress of former research that similarly dealt with visual signals during HRC. The goal during the design of the proposed novel methodology was to make the research of visual gestures in Human-Robot Interactions more effective and flexible. To address these demands an online surveying application is introduced and an initial proof of concept nature test was also conducted. During the investigation, we introduced emotional states in the test as a supporting modality for later use. From the analysis, we concluded that visual signals do have properties that can affect the perception of the viewer.

关键词： HRI visual signals cobots surveying HRC visual gestures

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An Automatic Control Method for the Number of Simulation Experiments based on Multi-variable Steady-state analysis 6

An Automatic Control Method for the Number of Simulation Exp...

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6th international conference on robotics, Intelligent Control and Artificial intelligence, RICAI 2024

作者： Qi, Feng Zhang, Haiyan Xu, Guozhen Ke, Mingxing College of Electronic Countermeasures National University of Defense Technology Hefei China

ISBN: (纸本)9798331541699

Different experiment times for the same simulation experiment affect the validity of the experimental results. In this paper, the basic principle of Monte Carlo method for determining simulation times is introduced, and its limitations in large-scale combat scenarios are analyzed. Then, a steady-state analysis method of variables is proposed, which takes the core index concerned by experiment-personnel as the investigation variable and passes normality test and significance analysis. In addition, the overall structure of automatic control of simulation experiment times is designed and the effectiveness of this method is verified. For the application scenarios where a large number of simulation experiment schemes need to be deduced, this method can realize unattended, and can greatly improve the experimental efficiency while ensuring the effectiveness of experimental results. © 2024 IEEE.

关键词： Intelligent systems

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Simulation analysis of A Cable-Driven Astronaut on-Orbit Physical Exercise Equipment 9

Simulation Analysis of A Cable-Driven Astronaut on-Orbit Phy...

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9th international conference on Automation, robotics and Applications (ICARA)

作者： Li, Lailu Zhang, Lixun Wang, Bing Song, Da Harbin Inst Technol Natl Key Lab Sci & Technol Adv Composites Special Harbin Peoples R China Harbin Engn Univ Coll Mech & Elect Engn Harbin Peoples R China Northeast Elect Power Univ Sch Mech Engn Jilin Peoples R China

ISBN: (纸本)9781665489218

It has been proved by aerospace medicine that physical exercises are the most effective countermeasure to eliminate the negative influence brought by microgravity when astronauts carry out space exploration missions. A cable-driven astronaut on-orbit physical exercise equipment (CAPE) is proposed in this paper, and to verify its feasibility and performance: First, the cable-driven astronaut on-orbit physical exercise equipment was introduced. Second, the force analysis of the CAPE-assisted deep squat was conducted, and the cable tension distribution strategy was established. Third, the simulation study was carried out by utilizing Matlab. The results demonstrate that the deep squat conducted by the CAPE is smooth and steady, the cable tension distribution strategy is accurate, astronaut can realize deep squat during a space trip with the assistance of CAPE.

关键词： Cable-driven astronaut deep squat simulation tension

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Augmented intelligence for Instructional Systems in Simulation-Based Training 6th

Augmented Intelligence for Instructional Systems in Simulati...

引用

6th international conference on Adaptive Instructional Systems (AIS) Held as Part of the 26th international conference on Human-Computer Interaction (HCII)

作者： van Oijen, Joost Royal Netherlands Aerosp Ctr Amsterdam Netherlands

ISBN: (纸本)9783031606083;9783031606090

Augmented intelligence is a design pattern for a human-centered collaboration model of people and artificial intelligence (AI), where machines assist humans in tasks such as data analysis, information retrieval, decision-making, and task execution. In this study, the concept of Augmented intelligence is applied within the context of an instructional system for simulation-based training. Here, the collaboration between human and machine is focused on the role of the instructor, which is to guide the learning process of one or more trainees toward some learning objective. We identify different levels of machine support to assist an instructor in this role during an adaptive training cycle. Additionally, two design aspects are discussed that contribute to increased levels of intelligence, namely the challenge of domain alignment to empower automation capabilities, and the benefits of simulation-based task environments to deliver AI-enabled approaches. Examples are discussed in the context of military training.

关键词： Augmented intelligence Instructional system Simulation Training

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Robot Locomotion Control Using Central pattern Generator with Non-linear Bio-mimetic Neurons 9

Robot Locomotion Control Using Central Pattern Generator wit...

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9th international conference on Automation, robotics and Applications (ICARA)

作者： Vivekanand, Vijay Shankaran Hashemkhani, Shahin Venkatachalam, Shanmuga Kubendran, Rajkumar Univ Pittsburgh Elect & Comp Engn Pittsburgh PA 15260 USA Univ Pittsburgh ECE & Bioengn Pittsburgh PA USA

ISBN: (纸本)9781665489218

Central pattern generators (CPG) generate rhythmic gait patterns that can be tuned to exhibit various locomotion behaviors like walking, trotting, etc. CPGs inspired by biology have been implemented previously in robotics to generate periodic motion patterns. This paper aims to take the inspiration even further to present a novel methodology to control movement of a four-legged robot using a non-linear bio- mimetic neuron model. In contrast to using regular leaky integrate and fire (LIF) neurons to create coupled neural networks, our design uses non-linear neurons constituting a mixed-feedback (positive and negative) control system operating at multiple timescales (fast, slow and ultraslow ranging from sub-ms to seconds), to generate a variety of spike patterns that control the robotic limbs and hence its gait. The use of spikes as motor control signals allows for low memory usage and low latency operation of the robot. Unlike LIF neurons, the bio-mimetic neurons are also jitter tolerant making the CPG network more resilient and robust to perturbations in the input stimulus. As a proof of concept, we implemented our model on the Petoi Bittle bot, a quadruped pet dog robot and were able to reliably observe different modes of locomotion-walk, trot and jump. Four bio-mimetic neurons forming a CPG network to control the four limbs were implemented on Arduino microcontroller and compared to a similar CPG built using four LIF neurons. The differential equations for both neurons were solved real-time on Arduino and profiled for memory usage, latency and jitter tolerance. The CPG using bio-mimetic non-linear neurons used marginally higher memory (378 bytes, 18% higher than LIF neurons), incurred insignificant latency of 3.54ms compared to motor activation delay of 200ms, while providing upto 5-10x higher jitter tolerance.

关键词： central pattern generators non-linear neurons spike-based control neuromorphic computing neuromodulation

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JUST TELL ME: A Robot-assisted E-health Solution for People with Lower-extremity Disability 9

JUST TELL ME: A Robot-assisted E-health Solution for People ...

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9th international conference on Automation, robotics and Applications (ICARA)

作者： Coutras, Alexander Obidat, Omar Zhu, Michelle Wang, Weitian Chatham High Sch Chatham Kent England Montclair State Univ Dept Comp Sci Montclair NJ 07043 USA

ISBN: (纸本)9781665489218

robotics technology has been increasingly applied to healthcare contexts to enhance efficiency and safety in healthcare processes in recent years. People with mobility impairments and disabilities often require caretakers in their lives. Fortunately, robots can provide attention and assistance consistently for them instead of human caretakers. Motivated by this, we develop a robot-assisted e-health solution to empower the patients' daily lives and improve their wellbeing in this study. A transfer learning-based approach is proposed to train the robot to understand and identify patients' needs through a small dataset. Using the proposed approach, the robot is able to understand the patient's needs through speech recognition and recognize objects that the patient has requested. The proposed solution is experimentally implemented in real-world human-robot interactive healthcare contexts. Results and analysis indicate the success and accuracy of our approaches.

关键词： robotics human-robot interaction E-health mobility impairments computer vision healthcare informatics systems

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