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检索条件"任意字段=2023 International Conference on Robotics, Control and Vision Engineering, RCVE 2023"

共 1303 条记录，以下是61-70 订阅

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A Cross modal Image and Text Retrieval Method for OpenKylin

A Cross modal Image and Text Retrieval Method for OpenKylin

引用

2023 international conference on Frontiers of robotics and Software engineering, FRSE 2023

作者： Zhang, Jin Xie, Xin Liu, Xiaodong Yu, Jie Peng, Long Wang, Wenzhu Zhang, Pengfei Lan, Yue Zhang, Chao Changsha University of Science and Technology College of Computer and Communication Engineering Changsha China National University of Defense Science and Technology School of Computer Science Changsha China Haihe Lab of Itai Tianjin China Kylin Software Tianjin China

ISBN: (纸本)9798350301113

With the rapid development of computer vision and natural language processing, there is an increasing demand for cross-modal retrieval (CMR) from users. The domestic operating system, openKylin, plays a key role in promoting domestic operating systems. It enriches the operating system functions with secure and trusted operation technology as the core. It is of great practical significance to integrate the field of computer vision into the domestic operating system. A graph retrieval method based on OpenKylin is proposed to enhance the functionality of searching graphs using text. This paper begins with a review of relevant domestic and international research on this technology. It then provides details on the design and implementation process, and concludes by demonstrating the final implementation results. The actual operational results demonstrate that the method is characterized by both high performance and high accuracy. © 2023 IEEE.

关键词： Computer vision

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Dumping Point Localization of Autonomous Excavation Based on vision in Trenching Tasks 9

Dumping Point Localization of Autonomous Excavation Based on...

引用

9th international conference on Mechatronics and robotics engineering (ICMRE)

作者： Zhao, Jiangying Hu, Yongbiao Tan, Peng Xia, Xiaohua Feng, Zhiyang Zhang, Lei Changan Univ Sch Construct Machinery Xian Peoples R China Shaanxi Fast Gear Co Ltd Xian Peoples R China Shanghai O film Tech Co Ltd Shanghai Peoples R China

ISBN: (纸本)9781665463263

To solve the problem of the precise position of the dumping points in autonomous excavation, a method of dumping point localization is proposed by using a pose estimation system of monocular vision markers in the excavator coordinate system. Firstly, a marker and a camera are used to establish a pose system prototype of the dumping point for the autonomous excavation. Then, based on the principle of pose estimation, a visual marker detection system is designed, and the position error analysis of pose estimation is proposed. Finally, the field test shows that the proposed localization method can precisely obtain the position of the dumping point.

关键词： autonomous excavation camera marker system dumping point localization trenching tasks

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The Future of (Individual) Security-vision 2.0? 16th

The Future of (Individual) Security-Vision 2.0?

引用

Mediterranean conference on Medical and Biological engineering and Computing (MEDICON) and international conference on Medical and Biological engineering (CMBEBIH)

作者： Jovetic, Ivan Vukotic, Milica Tinaj, Sandra Univ Donja Gorica Podgorica Montenegro

ISBN: (纸本)9783031490613;9783031490620

The key idea of the work is that the technological (r)evolutions have been redefining social and economic concepts. Those changes are impacting creation and execution of the new concepts such is individual security. Respective concept comprehends e-health security issues as well. vision of the future of security is overwhelming and utilize the position of globalized networked individual. Concept attempts to control limitless impact of technology.

关键词： Individual security Technology Impact Cyber security Future Individual paradigm

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Proceedings - 2023 2nd international Symposium on control engineering and robotics, ISCER 2023

Proceedings - 2023 2nd International Symposium on Control En...

引用

2nd international Symposium on control engineering and robotics, ISCER 2023

ISBN: (纸本)9798350336405

The proceedings contain 67 papers. The topics discussed include: multi-agent working together based on the improved k-means algorithm;development of an magnetic resonance compatible multi-dots tactile stimulation system;system design of a stair climbing disinfection robot based on C-legged;research on fast shaft hole assembly technology based on 2D point cloud matching shape recognition method by industrial robot;surgical robotic system for endotracheal intubation based on laryngeal mask;electromechanical conversion reliability testing device of electronic remote water meter based on machine vision;and design of target tracking ball gear pan-tilt system based on machine vision.

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Autonomous Discovery of Robot Structure and Motion control Through Large vision Models 11

Autonomous Discovery of Robot Structure and Motion Control T...

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, Xiaohui Liu, Lian Zhang, Zhao Guo, Xiaoyu Cui, Jinqiang Peng Cheng Lab Shenzhen 518055 Peoples R China South China Univ Technol Guangzhou 511442 Peoples R China

ISBN: (纸本)9798350364200;9798350364194

This paper introduces an algorithm for autonomous self-modeling of robots through the integration of Large vision Model (LVM) and Large Language Model (LLM). Our approach differs from traditional robotic approaches in that it enables robots to independently discover and refine their own body structure and control strategies using only partial information. Through a symbiotic process that includes LLM's ability to generate predictive control code based on finite prompts, and LVM's visual reasoning to validate and improve those predictions, our algorithm facilitates a self-learning loop. This cycle is characterized by an inner loop of assumptions, observations, and adjustments, supplemented by an outer loop that gradually increases the information provided until convergence is reached. The effectiveness of the process was quantified by measuring the difference between the expected and actual joint motion as a cost function to determine the minimum feasible prompt (MVP). Simulation results indicate that the algorithm is capable of self-modeling of with minimal initial information.

关键词： robotics Large Language Model Visual Reasoning Embodied AI

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Neural Contact Fields: Tracking Extrinsic Contact with Tactile Sensing

Neural Contact Fields: Tracking Extrinsic Contact with Tacti...

引用

IEEE international conference on robotics and Automation (ICRA)

作者： Higuera, Carolina Dong, Siyuan Boots, Byron Mukadam, Mustafa Univ Washington Seattle WA 98195 USA Meta AI New York NY USA

ISBN: (纸本)9798350323658

We present Neural Contact Fields, a method that brings together neural fields and tactile sensing to address the problem of tracking extrinsic contact between object and environment. Knowing where the external contact occurs is a first step towards methods that can actively control it in facilitating downstream manipulation tasks. Prior work for localizing environmental contacts typically assume a contact type (e.g. point or line), does not capture contact/no-contact transitions, and only works with basic geometric-shaped objects. Neural Contact Fields are the first method that can track arbitrary multi-modal extrinsic contacts without making any assumptions about the contact type. Our key insight is to estimate the probability of contact for any 3D point in the latent space of object's shapes, given vision-based tactile inputs that sense the local motion resulting from the external contact. In experiments, we find that Neural Contact Fields are able to localize multiple contact patches without making any assumptions about the geometry of the contact, and capture contact/no-contact transitions for known categories of objects with unseen shapes in unseen environment configurations. In addition to Neural Contact Fields, we also release our YCB-Extrinsic-Contact dataset of simulated extrinsic contact interactions to enable further research in this area. Project page: https://***/carolinahiguera/NCF

关键词： Computer vision

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Autonomous Obstacle Avoidance Method for Substation Inspection Robot Based on Binocular vision 2

Autonomous Obstacle Avoidance Method for Substation Inspecti...

引用

2nd international Symposium on control engineering and robotics, ISCER 2023

作者： Li, Long Lin, Zhiqiang Zhang, Haipeng Guangdong Power Grid Corp. Dongguan Power Supply Bureau Dongguan Guangdong523000 China

ISBN: (纸本)9798350336405

In order to effectively solve the problems of robot path deviation and long obstacle avoidance path, an autonomous obstacle avoidance method for substation inspection robot based on binocular vision is proposed. The model of binocular stereo vision system is constructed, the three-dimensional world coordinate system of space points is obtained, and the position, distance, shape and other information of obstacles are obtained;After obtaining the position information of the obstacle, the vector field histogram algorithm (VFH) is used to adjust the robot's moving direction to achieve autonomous obstacle avoidance. The experimental results show that the success rate of obstacle avoidance of the proposed method is 96%, the obstacle avoidance path is short, and there is no deviation problem, which verifies its application effect. © 2023 IEEE.

关键词： Stereo image processing

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vision-Based Excavator control for Pick-and-Place Operation∗ 15

Vision-Based Excavator Control for Pick-and-Place Operation∗

引用

15th international conference on Information Technology and Electrical engineering, ICITEE 2023

作者： Ataka, Ahmad Aji, M Hilal Bayu Hakim, Alfin Luqmanul Arfiantino, Dimas Nanda, Aan Aria Nugraha, Ghanis Kauchya Setyadi, Ahmad Didik Aji, Alharisy Ageng, Gregorio Candra, Rizky Ishmatuka, Cendikia Barr, Abdul Universitas Gadjah Mada Dept. of Electrical and Information Engineering Yogyakarta Indonesia ABAROBOTICS Semarang Indonesia

ISBN: (纸本)9798350304466

Automating an excavator in construction tasks proves to be challenging. While conventional kinematics control can be employed to produce motion, the challenge lies in the perception task: how to distinguish and detect various objects in construction sites. These include construction objects (rocks, sands, etc) as well as vehicles for object storage. This paper proposed vision-based excavator control combining deep learning and inverse kinematics to perform pick-and-place operation. The perception side is handled by a convolution neural network to detect target object and vehicle for object storage. Combined with depth information, the location of the objects are determined. This information will be sent to the control side to calculate the target joints of the excavator using inverse kinematics. Finally, joint velocity control is employed to ensure the excavator's joints reach the target. The results confirm that the proposed control successfully performs autonomous pick and place in simulated environment. © 2023 IEEE.

关键词： Inverse kinematics

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Design and Manufacturing of an Intelligent Ping-Pong Robot (RoboPing) 11

Design and Manufacturing of an Intelligent Ping-Pong Robot (...

引用

11th RSI international conference on robotics and Mechatronics, ICRoM 2023

作者： Moosavian, S. Ali A. Farahani, Arian D. Karimi, Ali Lab. Dept of Mechanical Engineering Tehran Iran

ISBN: (纸本)9798350308105

robotics and artificial intelligence (AI) are rapidly transforming many industries and aspects of our lives, and sport activities are no exception. Robots and AI are already being used in a variety of sports, including training and performance analysis. This paper introduces a new assistant ping-pong robot (RoboPing) that shoots ping-pong balls with different speeds and spins, besides using AI to analyze training sessions and providing useful insights into the game. RoboPing represents a significant advancement in mechanical design over previous versions, offering enhanced functionality. Being equipped with a precise vision system makes RoboPing more advanced compared to existing versions. © 2023 IEEE.

关键词： Computer vision

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Electromechanical Conversion Reliability Testing Device of Electronic Remote Water Meter Based on Machine vision 2

Electromechanical Conversion Reliability Testing Device of E...

引用

2nd international Symposium on control engineering and robotics, ISCER 2023

作者： Wu, Xiaojie Fang, Yan Zhang, Ningning Chen, Guofu Shou, Xia Ying, Hanyan Institute of Flow Measurement Zhejiang Institute of Metrology Zhejiang Provincial Key Laboratory of Energy and Environmental Protection Measurement and Testing Hangzhou China

ISBN: (纸本)9798350336405

The reliability of electromechanical conversion is the key index that affects the quality of the direct-reading electronic remote transmission water meter. Aiming at the problems of low automation level and low detection efficiency of current detection methods, a set of electromechanical conversion reliability detection device for electronic remote water meter based on machine vision technology is designed. The device adopts the non-real flow automatic detection method, simulates the test flow through the servo motor control system, and automatically obtains the mechanical reading of the water meter through the machine vision technology, thus realizing the automatic detection of the electromechanical conversion performance. The experimental results show that the designed device has high degree of automation, high detection efficiency, and accurate and reliable results. © 2023 IEEE.

关键词： Reliability

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