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检索条件"任意字段=International Conference on Advances in Science, Engineering and Robotics Technology"

共 47670 条记录，以下是301-310 订阅

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Advancements in Climate Modeling and Prediction through Machine Learning Techniques

Advancements in Climate Modeling and Prediction through Mach...

引用

2024 IEEE international conference on Recent advances in science and engineering technology, ICRASET 2024

作者： Hegde, Ramakrishna Soumyasri, S.M. Shivashankara, S. Sudeep, J. Deepu, G. Natesh, M. Vidyavardaka College of Engineering Affiliated to Visvesvaraya Technological University Mysuru India Vidya Vikas Institute of Engineering and Technology Affiliated to Visvesvaraya Technological University Dept. of Computer Applications Mysuru India Kr Pete Krishna Govt. Engg. College Krishnarajapet India Mysuru India Vidya Vikas Institute of Engineering and Technology Mysuru India Vidyavardaka College of Engineering Mysuru India

ISBN: (纸本)9798350388602

The popularity of Machine learning (ML) is increased in the field of weather and climate modelling. Enforcement variety from improved resolution and pre-condition to structure scheme propagation and substitute, and lately even to entire ML climate and climatology predictive models. Linear Structural Equation Models (LSES) have been used, employed and mastered, that for the timed which exceeded 25 years that towards this point have remained dormant. Rather more intensive progress of this domain of knowledge has been observed during the last decade. While proceeding entirely along this line of inquiry, it is most comfortable to use a critical approach in ML applications and the vicinity of weather and climate modelling, at least at the earlier stages. © 2024 IEEE.

关键词： Prediction models

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Investigations on Microgrid based Photovoltaic and Wind Energy Systems in Standalone mode

Investigations on Microgrid based Photovoltaic and Wind Ener...

引用

2024 IEEE international conference on Recent advances in science and engineering technology, ICRASET 2024

作者： Myla, Anand Kumar Gorantla, Srinivasa Rao Vignan's Foundation for Science Technology Research Electrical and Electronics Engineering Department Vadlamudi AP Guntur522 213 India

ISBN: (纸本)9798350388602

This paper presents the Standalone Microgrid system configuration i.e., incorporation of renewable energy sources - Solar and Wind has implemented in Matlab/Simulink platform. The goal is to unlimits the utilization rate by reducing the operation expenses over the lifecycle and by maintaining the power supply reliability. The mathematical modelling of the Solar and Wind energy systems is developed to predict their performance under various environmental conditions. DC/DC Bi-directional converter-based Battery considered as backup energy source for reliable the power supply. Further, an L filter is employed to reduce the harmonics. To achieve the MPPT of Solar, RBFNN is proposed. This technique enhances the adaptability and accuracy of MPPT in fluctuating conditions. The system performance is evaluated through simulation results. The proposed system demonstrates significant improvement for power system balancing condition and stability in terms of mitigation harmonics, current THDs in limits, validating the effectiveness of the system with the above advanced technique. © 2024 IEEE.

关键词： Radial basis function networks

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A Deep Learning Approach to Improving Patient Safety in Healthcare Using Real-Time Face Mask Detection

A Deep Learning Approach to Improving Patient Safety in Heal...

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2024 international conference on advances in Computing Research on science engineering and technology, ACROSET 2024

作者： Patidar, Mukesh Bhanodia, Praveen Sethi, Kamal Kumar Rajput, Shivshankar Patil, Pooja Sanjay Tiwari, Chandrakant Gid, Aayush Gupta, Kartik Piet Parul University Department of Computer Science and Engineering Gujrat Vadodara India Cse Aitr Indore India Department of Computer Science and Engineering Indore India Credit Acceptance Financial Institution in South Field Michigan United States Sri Aurobindo Institute of Technology Department of Electronics and Communication Engineering Indore India Indore Institute of Science and Technology Department of Electronics and Communication Engineering Indore India

ISBN: (纸本)9798350388800

Face masks are frequently used during health an emergency, which emphasizes the need for efficient mask detection systems to guarantee public safety and adherence to health laws. The goal of this research is to accurately identify between masked and unmasked human faces using a deep learning-based approach. By employing a blend of convolutional neural networks (CNNs), the research makes use of large-scale picture datasets to train the model and improve its performance in various scenarios. The model is a useful tool for automated surveillance and public health monitoring systems, as evidenced by experimental results that show its robustness in reaching high accuracy rates. The proposed work explore by using MobileN etV2 within a Python environment. The next stage in the process is pre-processing the data, which often entails normalizing pixel values and scaling images to the input size that MobileNetV2 expects (224×224 pixels, for example). © 2024 IEEE.

关键词： Convolutional neural networks

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Enhancing Household Service Robots with a Dual-Arm Mobile Manipulator and Multimodal Large Language Models

Enhancing Household Service Robots with a Dual-Arm Mobile Ma...

引用

2024 IEEE international conference on robotics and Biomimetics, ROBIO 2024

作者： Liu, Yang Zhao, Yanchao Guo, Weichao Sheng, Xinjun Ding, Han School of Mechanical Engineering Shanghai Jiao Tong University State Key Laboratory of Mechanical System and Vibration Shanghai200240 China Meta Robotics Institute Shanghai Jiao Tong University Shanghai200240 China

ISBN: (纸本)9781665481090

This research aims to enhance the practicality of household service robots by integrating multimodal large language models (MLLMs). Utilizing a dual-arm mobile manipulator platform, our focus is on advancing autonomous mobile manipulation in home environments. By leveraging the advanced text understanding and visual processing capabilities inherent in MLLMs, the proposed system adeptly converts user dialogues and environmental visual inputs into precise robotic plans. Among the suite of tested models, GPT-4o mini and Gemini 1.5 flash perform exceptionally well in generating accurate robotic plans. These results underscore a significant enhancement in the robot's ability to manipulate objects within complex home environments, thereby contributing to more seamless human-robot interactions and markedly improved task execution. We anticipate that our findings will inspire future advances in the field of human-robot interaction for home robots. © 2024 IEEE.

关键词： Human robot interaction

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A Robotic Arm Vehicle using Voice Recognition for Physically Challenged People 2

A Robotic Arm Vehicle using Voice Recognition for Physically...

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2nd international conference on advances in Computation, Communication and Information technology, ICAICCIT 2024

作者： Nannda, Jia Dora, Lokareddy Venkanna Gupta, Tanvi Chouhan, Aryan Verma, Anmol Department of Computer Science and Engineering Manav Rachna International Institute of Research and Studies India Department of Computer Science and Engineering Manav Rachna International Institute of Research and Studies Faridabad India Department of electrical and electronics engineering Manav Rachna International Institute of Research and Studies India

ISBN: (纸本)9798331541217

In Today's world, all the work is automated by robots. The Robots have become a significant part of today's world, improving many people's lives, especially those who are physically challenged. This research paper presents a unique method for helping people with physical disabilities: A robotic arm vehicle using voice recognition for physically challenged people. Two remarkable features of the robot are its design and its adaptability in handling objects accurately. The comparative research demonstrates improved performance, such as faster job completion and increased grasping efficiency, when compared to older methods. Additionally, by integrating AI, the robotic arm gains the flexibility needed to operate in real-world environments. This finding might lead to more autonomous and effective assistive technology for personal support and healthcare applications. © 2024 IEEE.

关键词： Robotic arms

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China Is the Leading Country in the World in the Implementation of Robotic technology as the Basic technology of Industry 4.0 12th

China Is the Leading Country in the World in the Implementat...

引用

12th international conference of Machine and Industrial Design in Mechanical engineering

作者： Karabegovic, Isak Husak, Ermin Karabegovic, Edina Mahmic, Mehmed Acad Sci & Arts Bosnia & Herzegovina Sarajevo Bosnia & Herceg Univ Bihac Tech Fac Bihac Bihac Bosnia & Herceg

ISBN: (纸本)9783031805141;9783031805127;9783031805110

It is well-known that the research and development of new technologies, and their implementation in production processes and human environment lead to great changes and the shaping of a new world. Technological innovations continuously develop and change over time, however implementation is delayed and the reason is rigid infrastructure. In order to ensure an optimal future we must adapt to the changes that are coming. Many developed and developing countries have realized this and adopted their strategies for implementing Industry 4.0 and carry out its implementation. Change their production processes in such a way that they implement the basic technologies of Industry 4.0 (there are currently over forty in the world), such as: Internet of Things (IoT), Big Data, robotics, Cloud Computing, Smart Sensors, Radio Frequency Identification (RFID), 3D Printing, Advanced Security Systems, Virtual and Augmented Reality, Artificial Intelligence (AI), etc. By introducing the aforementioned basic technologies into production processes, they become more automated and flexible with the tendency to become smart production processes. The paper provides an analysis of the implementation of robotic technology as the basic technology of Industry 4.0 in the country of China as the leading country in the world in research, development and implementation of this technology. The paper attempts to find an answer as to why China is the world leader in the implementation of robotic technology.

关键词： robotics China Industry 4.0 Automation Smart Processes Advanced Technologies

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Velodyne LiDAR-Guided Safe Reinforcement Learning for Autonomous Navigation Quality 6

Velodyne LiDAR-Guided Safe Reinforcement Learning for Autono...

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6th international conference on robotics and Automation in Industry, ICRAI 2024

作者： Seher Asif, Raja Nanjing university of Aeronautics and Astronautics Dept: Computer Science and Technology Nanjing China Balochistan University of IT Engineering and Management Science Dept: Information Technology Quetta Pakistan

ISBN: (纸本)9798350355703

A goal of safe reinforcement learning is to minimize reward while respecting safety constraints, but achieving that balance remains a challenge. Popular approaches often lead to overly cautious policies that produce suboptimal results in different environments. This paper explores the potential of dual-delay deterministic policy gradients and proximal policy optimization combined with Velodyne VLP-16 LIDAR data to process the data in specific autonomous environment. The surroundings are searched for points of interest (POI) for potential navigation directions, and an ideal waypoint is chosen depending on the data at hand. We deliver comprehensions into improving the performance of Safe RL by enhance perception of receiving data with LiDAR, allowing us to analyze its ability to navigate in dynamic environments while maintaining safety and efficiency using safe reinforcement learning algorithms. © 2024 IEEE.

关键词： Adversarial machine learning

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Research on Mobile Robot Path Planning Algorithm for Drug Delivery 4

Research on Mobile Robot Path Planning Algorithm for Drug De...

引用

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

作者： Zhang, Zheng Li, Pengjin Deng, Weifeng Hao, Yunjia Geng, Zhiyao Chen, Yinuo Shaanxi University of Science & Technology School of Electrical and Control Engineering Xi'an China China Aerospace Science and Technology Corporation Xi'an China

ISBN: (纸本)9798331531225

Path planning using the traditional RRT∗ algorithm in complex hospital environments has the drawbacks of not being able to avoid dynamic obstacles, too many redundant points, inefficient search and non-smooth paths, for this reason, this paper proposes an improved RRT∗ algorithm path planning method for medical delivery robots. The gravitational potential field and PRRT algorithm are introduced to optimize the sampling strategy, the adaptive step size is used to improve the search efficiency of the algorithm, and finally, the smoothness of the path is improved by branch pruning. Through simulation, the improved RRT∗ algorithm reduces the path turn point by 75%, the path length by 26.25%, and the search time by 89.72% compared to the traditional RRT∗ algorithm. © 2024 IEEE.

关键词： Robot programming

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Progress in Venus Exploration and Key technology Research

Progress in Venus Exploration and Key Technology Research

引用

2024 IEEE international conference on Control science and Systems engineering, ICCSSE 2024

作者： Ying, Li Zhengfeng, Zhang Zheng, Gu Yan, Shu Yuntong, Lu Yanhong, Zheng Beijing Institute of Spacecraft System Engineering China Academy of Space Technology Beijing China

ISBN: (纸本)9798331517199

At present, most of humanity's scientific understanding of Venus comes from early Venus's exploration results [1] [2]. In the past 20 years, Venus exploration has been at a low tide and no further exploration missions have been carried out deep into Venus's atmosphere. The early Venus and Mars exploration missions in the United States, the Soviet Union, and Europe were almost simultaneously carried out. There had many commonalities of the technology and products between the Venus probes and Mars probes. This article conducts research on the current research status of Venus exploration, and proposed key technologies such as system design technology of Venus probe, entering into aerodynamic configuration design and heat resistant structural technology, floating system design, thermal control technology under strong external heat flux environment, which can provide reference for future Venus exploration research in China. © 2024 IEEE.

关键词： Thermal variables control

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Housekeeping Using Multi-Agent Service robotics

Housekeeping Using Multi-Agent Service Robotics

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2023 international conference on robotics and Automation in Industry, ICRAI 2023

作者： Malik, Muhammad Faiq Shahid, Haris Saleem, Muhammad Haris Nazir, Hassan Nouman, Ahmed University of Engineering & Technology Mechatronics Engineering Department Taxila Pakistan Örebro Sweden

ISBN: (纸本)9781665464727

Service robotics in dynamic environments is a challenging yet exciting field that has witnessed incredible advances in the last few decades. The credit for these advancements goes to artificial intelligence and robotics technological progressions. The housekeeping domain is an example of a service robotics domain. A high-level task planner can compute a plan of action, while low-level functionalities like perception and motion planning can ensure feasibility. We propose a solution to the housekeeping problem that utilizes the expressiveness of action language C+ to formalize actions and compute an action plan. To check for feasibility in the real world, we execute the action plans in a physics simulator, GAZEBO. We also propose benchmark instances for the housekeeping domain and evaluate our planning and execution times approach. We report possible execution failures for the benchmark instances and offer plausible solutions, such as hybrid planning, plan execution monitoring, and conditional planning. © 2023 IEEE.

关键词： Motion planning

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