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

共 15864 条记录，以下是171-180 订阅

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P-SVM2: Enhancing LiDAR-based Traversability analysis with Augmented Point Cloud Descriptor for Autonomous Mobile Systems 11

P-SVM2: Enhancing LiDAR-based Traversability Analysis with A...

引用

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

作者： Li, Wanmeng Fusaro, Daniel Olivastri, Emilio Mosco, Simone Bellotto, Nicola Pretto, Alberto Univ Padua Dept Informat Engn Padua Italy

ISBN: (纸本)9798350364200;9798350364194

The ability to perceive traversable regions is a crucial prerequisite for truly autonomous mobile systems. In our previous work [8], we introduced P-SVM, a 3D LiDAR-based traversability analysis system that achieves real-time performance in CPU. However, by design P-SVM does not capture features other than geometric features, limiting its performance and generalizability to complex environments. In this work, we introduce an augmented point cloud descriptor that further improves the performance of P-SVM. By exploiting additional features extracted from remission and height information in the point cloud, our model is able to adapt robustly to strong scene changes. Additionally, in the proposed descriptor, remission radial distribution features are introduced to capture local information around keypoints. This addresses the limitation of P-SVM, which focuses only on global features within the cell. Our new P-SVM2 model demonstrates performance almost on par with state-of-the-art deep learning-based methods on the challenging SemanticKITTI [1] dataset in the traversability analysis task. Notably, P-SVM2 is real-time and relies solely on mobile-level CPUs. Moreover, surprising results have been obtained in robustness and generalizability experiments.

关键词： Traversability analysis point cloud descriptor real-time performance autonomous mobile systems

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Modeling and analysis of Measurement Uncertainty for Distributed Measurement System 4

Modeling and Analysis of Measurement Uncertainty for Distrib...

引用

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

作者： Tian, Ya-Ming Cao, Sheng Li, Wen-Long Xu, Wei State Key Laboratory of Intelligent Manufacturing Equipment and Technology HUST Wuhan China

ISBN: (纸本)9798331531225

The distributed measurement system (DMS) is a representative measurement system with multiple transmitters. One of essential indexes used to evaluate the overall performance of DMS is measurement uncertainty. In this paper, a model of measurement uncertainty for DMS is derived explicitly, and the anisotropy and inhomogeneity of measurement uncertainty along different axes are analyzed in detail. The effect of various layouts of transmitters on measurement uncertainty is also discussed by carrying out simulation experiment and validation experiment. The experimental results show that for the layout of transmitters, the deployment in type of '4-trapezoid' is superior to that in type of '2-line', '3-line', '3-triangle', '4-squre', and '4-line', especially in terms of measurement uncertainty. © 2024 IEEE.

关键词： Velocity measurement

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analysis of the acoustic characteristics of Takarazuka revue member names

Analysis of the acoustic characteristics of Takarazuka revue...

引用

IEEE international conference on Fuzzy Systems (FUZZ-IEEE)

作者： Nakamura, Tsuyoshi Miura, Takuya Chubu Univ Sch Engn Kasugai Aichi Japan

ISBN: (纸本)9798350319552;9798350319545

The phenomenon where a sound itself conveys a specific impression is known as sound symbolism. Although sound symbolism has been observed in various domains, its comprehensive understanding remains elusive. Therefore, we are gathering and examining instances of sound symbolism to elucidate its broader context. In this study, we focused on the names of Takarazuka Revue members as examples, hypothesizing that their naming might exhibit a unique pattern. We explored their acoustic characteristics using machine learning techniques. Our study employed Convolutional Neural Networks (CNN) and Grad-CAM for Explainable Artificial intelligence (XAI) for this investigation. The analysis revealed that male role names in the Takarazuka Revue tend to have fewer obstructive sounds compared to typical Japanese male names. Furthermore, it was observed that male role names have fewer resonant sounds than "musumeyaku (female role)" names.

关键词： Sound symbolism Male and Female names XAI

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Modeling the dynamics of Multi-agent systems in one-dimensional space and their stability analysis 6

Modeling the dynamics of Multi-agent systems in one-dimensio...

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

作者： Wang, Qian Yu, Peng Li, Meijuan Chen, Xue-Bo School of Electronic and Information Engineering University of Science and Technology Liaoning Anshan114051 China School of Intelligent Equipment Engineering Wuxi Taihu University Wuxi214064 China

ISBN: (纸本)9798331541699

Based on the Lennard-Jones potential function of long-range attraction and short-range repulsion between agents, this paper constructs a dynamical model of multi-agent clustering in one-dimensional space. The model takes into account the interactions between agents and the rules of motion to simulate and describe the motion of clusters of intelligent bodies in one-dimensional space. It also combines a graph-theoretic approach to global Lyapunov functions for heterogeneous multi-agent networks to construct global Lyapunov functions for the system, and uses a stability theorem to prove that the multi-agents eventually reach the stability of the cluster motion. Finally, to verify the theoretical results, simulations are carried out in both homogeneous multi-agent systems and heterogeneous multi-agent systems. © 2024 IEEE.

关键词： Lyapunov functions

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Comparative analysis of optimized Machine Learning Algorithms for Heart Disease Severity Recognition Using Spectrophotometric analysis 10

Comparative Analysis of optimized Machine Learning Algorithm...

引用

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

作者： Sistaninejhad, Masoud Rajebi, Saman Pedrammehr, Siamak Department of Electrical Engineering Seraj University Tabriz Iran Faculty of Design Tabriz Islamic Art University Tabriz Iran

ISBN: (纸本)9798350348873

The development of machine learning technology and its algorithms has led to a significant breakthrough in the medical field. The ability to diagnose and predict diseases with high accuracy has been achieved with the help of machine learning. This capability is particularly useful in creating systems that can automatically analyze medical test data without the need for a doctor’s presence. This paper focuses on designing a system for analyzing data obtained from spectrophotometric analysis to diagnose heart diseases. Different classification methods such as K Nearest Neighbor, Parzen, Bayesian, Multilayer Perceptron, and RBF have been used in this research. It also suggests unbalanced, non-normalized, and whitened data as pre-processing methods. In addition, Genetic algorithm has been used to optimize hyperparameters. Experimental reports and results show that KNN, Parzen, One-layer perceptron and Two-layer perceptron classifiers have an accuracy of 75.64%, 80.67%, 84.74%, and 71.66%, respectively. And the RBF neural network and the Bayesian method with whitened data and optimized parameters have higher accuracy than other methods and can detect the subject's health or disease with 100% accuracy and analysis providing the expert audience with a detailed description of the methods used to diagnose heart diseases. ©2024 IEEE.

关键词： Genetic algorithms

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Precision Repairs: Achieving Accuracy During Repair Missions at the international Space Station 3

Precision Repairs: Achieving Accuracy During Repair Missions...

引用

3rd international conference on robotics, Automation and Artificial intelligence (RAAI)

作者： Rafi, Suhail Haque Chowdhury, Md Mubin Ul Islam Rakib, Mazharul Islam Chowdhury, Mizanul Rhaman, Md Khalilur BRAC Univ Dhaka Bangladesh MIT Cambridge MA 02139 USA

ISBN: (纸本)9798350307573;9798350307566

This paper proposes an autonomous approach for repairing leakage at the international Space Station (ISS) using the NASA Astrobee robot with the 3rd Kibo Robot Programming Challenge (KRPC) guidelines provided by JAXA. We bring into play image processing and analysis from the Astrobee Nav Cam data, circle detection algorithms, AR tag detection techniques, autonomous navigation, and a Visual Projective Localization And Mapping (VPLAM) approach for irradiating lasers with excellent precision at the Astrobee Robot Simulator. In addition, we discuss the various capabilities of the Astrobee Robots onboard the ISS and how they can facilitate the delivery of such an autonomous mission in emergencies. Lastly, we walk through ways to deal with randomness and uncertainty while operating, ensuring robustness and accuracy. Ultimately, we scored a precision of up to 0.03 cm on the KRPC online simulator.

关键词： astrobee autonomous robot navigation projective localization image processing ros gazebo simulation

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Hierarchical Multi-Stage BERT Fusion Framework with Dual Attention for Enhanced Cyberbullying Detection in Social Media 4

Hierarchical Multi-Stage BERT Fusion Framework with Dual Att...

引用

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

作者： Wang, Jiani Xu, Xiaochuan Yu, Peiyang Xu, Zeqiu Stanford University Stanford United States Carnegie Mellon University Pittsburg United States

ISBN: (纸本)9798331531225

Detecting and classifying cyberbullying in social media is hard because of the complex nature of online language and the changing nature of content. This study presents a multi-stage BERT fusion framework. It uses hierarchical embeddings, dual attention mechanisms, and extra features to improve detection of cyberbullying content. The framework combines BERT embeddings with features like sentiment and topic information. It uses self-attention and cross-attention to align features and has a hierarchical classification head for multi-category classification. A dynamic loss balancing strategy helps optimize learning and improves accuracy, precision, recall, and F1-score. These results show the model's strong performance and potential for broader use in analyzing social media content. © 2024 IEEE.

关键词： Auxiliary Feature Integration Cyberbullying Detection Dual Attention Mechanism Multi-Stage BERT Social Media analysis

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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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Comparative analysis of Listwise Reranking with Large Language Models in Limited-Resource Language Contexts 4

Comparative Analysis of Listwise Reranking with Large Langua...

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

作者： Shen, Yanxin Wang, Lun Shi, Chuanqi Du, Shaoshuai Tao, Yiyi Shen, Yixian Zhang, Hang Simon Fraser University Canada Duke University NC United States University of California San Diego CA United States University of Amsterdam Amsterdam Netherlands Johns Hopkins University MD United States

ISBN: (纸本)9798331531225

Large Language Models (LLMs) have demonstrated significant effectiveness across various NLP tasks, including text ranking. This study assesses the performance of large language models (LLMs) in listwise reranking for limited-resource African languages. We compare proprietary models RankGPT3.5, Rank4o-mini, RankGPTo1-mini and RankClaude-sonnet in cross-lingual contexts. Results indicate that these LLMs significantly outperform traditional baseline methods such as BM25-DT in most evaluation metrics, particularly in nDCG@10 and MRR@100. These findings highlight the potential of LLMs in enhancing reranking tasks for low-resource languages and offer insights into cost-effective solutions. © 2024 IEEE.

关键词： Machine translation

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A small soft-bodied crawling robot with electromagnetic legs and neural control for locomotion on various metal terrains

A small soft-bodied crawling robot with electromagnetic legs...

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IEEE international conference on Soft robotics (RoboSoft)

作者： Asawalertsak, Naris Nantareekurn, Worameth Manoonpong, Poramate Vidyasirimedhi Inst Sci & Technol Sch Informat Sci & Technol Bioinspired Robot & Neural Engn Lab Rayong Thailand Univ Southern Denmark Embodied Artificial Intelligence & Neurorobot Lab SDU Biorobot Maersk McKinney Moller Inst Odense M Denmark

ISBN: (纸本)9798350332223

Soft-bodied crawling animals (like caterpillars and inchworms) exploit their active soft bodies with passive adaptability to achieve efficient locomotion and move on multiple terrains. While several research studies have used this principle for robot development, most existing caterpillar/inchworminspired soft robots can still crawl on specific terrain (flat, inner, or outer pipes). To advance state-of-the-art soft robotic technology, we propose here a small soft-bodied crawling robot with electromagnetic legs and passive body adaptation. The robot is driven by neural central pattern generator (CPG)based control. Due to the combination of its actively contractable/extendable body, passively adaptable interconnected body joints, and electromagnetic legs, the robot can successfully crawl on a variety of metal terrains, including a flat surface, step, slope, confined space, and an inner (concave surface) and outer (convex surface) pipe in both horizontal and vertical directions. Additionally, it can be steered to navigate through a cluttered environment with obstacles. Using the CPG-based control method, the robot's locomotion speed can be simply regulated by changing a single CPG-frequency control parameter. This small soft robot has the potential to be employed as a robotic system for inner and outer pipe inspection and confined space exploration in the oil and gas industry.

关键词： Space research

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