Cognitive Robotics最新文献_第5页

Digital Twin applications toward Industry 4.0: A Review 面向工业4.0的数字孪生应用：综述

Cognitive Robotics Pub Date : 2023-01-01 DOI: 10.1016/j.cogr.2023.04.003

Mohd Javaid , Abid Haleem , Rajiv Suman

{"title":"Digital Twin applications toward Industry 4.0: A Review","authors":"Mohd Javaid , Abid Haleem , Rajiv Suman","doi":"10.1016/j.cogr.2023.04.003","DOIUrl":"https://doi.org/10.1016/j.cogr.2023.04.003","url":null,"abstract":"<div><p>Digital Twin is a virtual representation of objects, processes, and systems that exist in real-time. While Digital Twin can represent digital objects, they are often used to connect the physical and digital worlds. This technology plays a vital role in fulfilling various requirements of Industry 4.0. It gives a digital image of a factory's operations, a communications network's activities, or the movement of items through a logistics system. This paper studies Digital Twin and its need in Industry 4.0. Then the process and supportive features of Digital Twin for Industry 4.0 are diagrammatically discussed, and finally, the major applications of Digital Twin for Industry 4.0 are identified. Digital Twin sophistication depends on the process or product represented and the data available. Manufacturers can learn how assets will behave in real-time, in the physical world, by putting sensors on particular assets, gathering data, creating digital duplicates, and employing machine intelligence. They can confidently make wise judgments, which helps improve company performance. Digital Twin assesses material usage to save costs, discover inefficiencies, replicate tool tracking systems, and do other things. Manufacturers construct a digital clone for specific equipment and tools, exclusive products or systems, entire procedures, or anything else they want to improve on the factory floor. Sensors and other equipment that collect real-time data on the state of the process or product collect this information, which on the other hand, must be handled and processed appropriately. It is made feasible by IoT sensors, which collect data from the physical environment and transmit it to be virtually recreated. This information comprises design and engineering details that explain the asset's shape, materials, components, and behaviour or performance.</p></div>","PeriodicalId":100288,"journal":{"name":"Cognitive Robotics","volume":"3 ","pages":"Pages 71-92"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49710581","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 10

Scientific visualization for advanced deep-sea exploration equipment and underwater automatic manipulation 先进深海探测设备的科学可视化和水下自动操纵

Cognitive Robotics Pub Date : 2023-01-01 DOI: 10.1016/j.cogr.2023.08.001

Boxiong Yang , Lin Gan , Shelei Li , Bo Zhou , Tingting Yang , Xiaofei Liu , Chun Xiong , Jiaxue Zou

{"title":"Scientific visualization for advanced deep-sea exploration equipment and underwater automatic manipulation","authors":"Boxiong Yang , Lin Gan , Shelei Li , Bo Zhou , Tingting Yang , Xiaofei Liu , Chun Xiong , Jiaxue Zou","doi":"10.1016/j.cogr.2023.08.001","DOIUrl":"https://doi.org/10.1016/j.cogr.2023.08.001","url":null,"abstract":"<div><p>Scientific visualization is important in modern technological activities and engineering exploration. Due to the dark and high-pressure characteristics of deep sea, it is difficult to visualize the entire operation of deep-sea equipment. Thus, it is of great necessity to use virtual simulation technology to help people understand the operation process of some deep-sea exploration equipment on the sea floor. In this paper, science, art, and new media are combined through artistic rendering, visual processing, and the technology of virtual reality (VR) and holography, which makes the exploration of the latest deep-sea lander and intelligent submersible named “Luling” look more intuitive and smart and have more visual impact and expression. Apart from that, automatic manipulation videos of the rover robot in the deep sea captured by the Luling are effectively nested to realize the goal of virtual and real presentation. The designed scientific visualization of deep-sea equipment can not only adapt to the display output of VR, mobile phones, TV, 360° showcase, and other platforms, but also achieve immersive experience and virtual simulation learning through HTC Vive VR equipment. The technology and design way of scientific visualization in this paper is universal and suitable to the same kind of engineering simulation.</p></div>","PeriodicalId":100288,"journal":{"name":"Cognitive Robotics","volume":"3 ","pages":"Pages 284-292"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49710711","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

An operational scrutinization of autonomous tractor-trailer robot considering motion resistance force of rubber tracked undercarriage 考虑橡胶履带底盘运动阻力的自主牵引拖车机器人操作检测

Cognitive Robotics Pub Date : 2023-01-01 DOI: 10.1016/j.cogr.2023.06.002

S.M. Shafaei , H. Mousazadeh

{"title":"An operational scrutinization of autonomous tractor-trailer robot considering motion resistance force of rubber tracked undercarriage","authors":"S.M. Shafaei , H. Mousazadeh","doi":"10.1016/j.cogr.2023.06.002","DOIUrl":"https://doi.org/10.1016/j.cogr.2023.06.002","url":null,"abstract":"<div><p>In realm of researches involved in autonomous tractor-trailer robot, novel purpose of this research has been dedicated to motion resistance force of rubber tracked undercarriage of the robot. Hence, the motion resistance force was ascertained as affected by operational variables of robot forward speed (0.17, 0.33 and 0.5 m/s) and payload weight (1, 2, 3, 4 and 5 kN). Analytical results clarified that meaningful contribution of payload weight to the motion resistance force (15.26–28.05 N) was marginal (< 8 times) in comparison with that of robot forward speed. Hence, adjustment of the forward speed than payload weight is suggested as priority. Modeling results described that combinatorial effect of robot forward speed and payload weight on the motion resistance force was synergetic. This disclosed linear increasing dependency of the motion resistance force on concurrent proliferation of robot forward speed and payload weight. Overall, these results are profitable for redesign and performance optimization of tractor-trailer robot with rubber tracked undercarriage in order to proliferate autonomous transportation capacity of payloads, especially for indoor and outdoor shipping and warehouse of factories and industrial environments.</p></div>","PeriodicalId":100288,"journal":{"name":"Cognitive Robotics","volume":"3 ","pages":"Pages 173-184"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49710729","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Rakshak: A modular unmanned ground vehicle for surveillance and logistics operations Rakshak:用于监视和后勤操作的模块化无人地面车辆

Cognitive Robotics Pub Date : 2023-01-01 DOI: 10.1016/j.cogr.2023.02.001

Abhijit Gadekar , Sakshi Fulsundar , Prathamesh Deshmukh , Jaideep Aher , Kaajal Kataria , Dr. Vibha Patel , Dr. Shivprakash Barve

{"title":"Rakshak: A modular unmanned ground vehicle for surveillance and logistics operations","authors":"Abhijit Gadekar , Sakshi Fulsundar , Prathamesh Deshmukh , Jaideep Aher , Kaajal Kataria , Dr. Vibha Patel , Dr. Shivprakash Barve","doi":"10.1016/j.cogr.2023.02.001","DOIUrl":"https://doi.org/10.1016/j.cogr.2023.02.001","url":null,"abstract":"<div><p>Over the past decade, the utilization of mobile robots in commercial and defense industries has rapidly increased. These robots are purpose-built to perform specific tasks and have proven to be particularly valuable in dangerous environments where human presence may be problematic. However, identifying hazardous areas for workers, soldiers, and emergen- cies during disasters and providing real-time surveillance data remain significant challenges. Conventional approaches, such as manual surveillance and mapping uncharted territories are time-consuming and susceptible to human error. UGVs enable standoff operations, which lowers or eliminates these problems in demanding, and hazardous conditions. This paper discusses the design and development of Rakshak: a modular UGV as a first response mechanism for 360° of real-time surveillance by mapping unknown areas and small- payload-based logistics operations. Teleoperation of the UGV is via radio transmission, a reliable and efficient method of communication. The modular design of the UGV allows for flexibility in adapting to various applications. Data acquisition and transfer to the mobile application are accomplished through Wi-Fi communication.</p></div>","PeriodicalId":100288,"journal":{"name":"Cognitive Robotics","volume":"3 ","pages":"Pages 23-33"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49723426","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Generative artificial intelligence in the metaverse era 元宇宙时代的生成人工智能

Cognitive Robotics Pub Date : 2023-01-01 DOI: 10.1016/j.cogr.2023.06.001

Zhihan Lv

引用次数: 10

LP-BT: A location privacy protection algorithm based on ball trees LP-BT:基于球树的位置隐私保护算法

Cognitive Robotics Pub Date : 2023-01-01 DOI: 10.1016/j.cogr.2023.05.001

Lechan Yang , Song Deng

{"title":"LP-BT: A location privacy protection algorithm based on ball trees","authors":"Lechan Yang , Song Deng","doi":"10.1016/j.cogr.2023.05.001","DOIUrl":"https://doi.org/10.1016/j.cogr.2023.05.001","url":null,"abstract":"<div><p>With the maturity of global positioning technology and the massive popularity of mobile terminals, location-based services can provide people with convenient and efficient assistance. To use such services, mobile users need to provide location information and request query content. However, this process inevitably leads to the leakage of users’ privacy information, which poses a great threat to their property and personal safety. To address the privacy leakage in location services, this paper proposes a location privacy protection method based on ball tree (LP-BT). We first use the ball tree as a spatial index structure, and then do fuzzification on the location information of end users to obtain the maximum primary anonymous entropy, and combine the neural network learning algorithm to predict the corresponding entropy value. Finally, the final entropy is obtained based on the average entropy of the two stages. Experimental results on public dataset manifest that our model is superior to other models such as random selection model and path-based fake location generation model in terms of privacy protection level, user density and anonymization time overhead.</p></div>","PeriodicalId":100288,"journal":{"name":"Cognitive Robotics","volume":"3 ","pages":"Pages 127-134"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49732906","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Optimization of energy consumption in industrial robots, a review 工业机器人能耗优化研究综述

Cognitive Robotics Pub Date : 2023-01-01 DOI: 10.1016/j.cogr.2023.05.003

Mohsen Soori , Behrooz Arezoo , Roza Dastres

{"title":"Optimization of energy consumption in industrial robots, a review","authors":"Mohsen Soori , Behrooz Arezoo , Roza Dastres","doi":"10.1016/j.cogr.2023.05.003","DOIUrl":"https://doi.org/10.1016/j.cogr.2023.05.003","url":null,"abstract":"<div><p>Optimization of energy consumption in industrial robots can reduce operating costs, improve performance and increase the lifespan of the robot during part manufacturing. Choosing energy-efficient components such as motors, drives, and controllers can significantly reduce energy consumption in industrial robots. Over-sized motors and heavy robot arms can waste energy and decrease efficiency of industrial robots. By optimizing the robot programs and reducing idle time in robot operations, the amount of spent time can be reduced to minimize energy consumption of industrial robots. By using energy-efficient motors and drives, the amount of energy consumed by the robot can be reduced. Also, regular maintenance can reduce energy consumption of industrial robots by providing maximum efficiency for the robot's components. By implementing energy management systems, energy consumption of industrial robot can be monitored and analyzed to optimize energy consumption of industrial robot during working conditions. To minimize lost energy and reuse the energy usage during working times, regenerative braking can be used in the robots. The process of part manufacturing can be optimized in order to minimize the robot's movements and energy usage during working times of industrial robots. To analyze and optimize energy consumption in working schedules of industrial robots, different methodologies from recent published papers are reviewed in the study. Proper robot selection, energy-efficient robot motor and low wight robot arms, efficient programming of working schedules, regenerative braking system, regular maintenance of robot elements and optimized process of part production regarding the minimization of energy usage are discussed to optimize the energy consumption in industrial robots. As a result, future research works in the research field can be presented in order to optimize energy consumption, reduce operational costs, and increase sustainability of industrial robot operations in terms of productivity enhancement of part manufacturing.</p></div>","PeriodicalId":100288,"journal":{"name":"Cognitive Robotics","volume":"3 ","pages":"Pages 142-157"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49710401","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 5

Co-attention learning cross time and frequency domains for fault diagnosis 跨时频域的故障诊断共注意学习

Cognitive Robotics Pub Date : 2023-01-01 DOI: 10.1016/j.cogr.2023.03.001

Ping Luo , Xinsheng Zhang , Ran Meng

引用次数: 0

Adjustable Convergence Rate Prescribed Performance with Fractional-Order PID Controller for Servo Pneumatic Actuated Robot Positioning 基于分数阶PID控制器的伺服气动机器人定位可调收敛速率规定性能

Cognitive Robotics Pub Date : 2023-01-01 DOI: 10.1016/j.cogr.2023.04.004

Mohd Iskandar Putra Azahar, Addie Irawan, R.M.T. Raja Ismail

{"title":"Adjustable Convergence Rate Prescribed Performance with Fractional-Order PID Controller for Servo Pneumatic Actuated Robot Positioning","authors":"Mohd Iskandar Putra Azahar, Addie Irawan, R.M.T. Raja Ismail","doi":"10.1016/j.cogr.2023.04.004","DOIUrl":"https://doi.org/10.1016/j.cogr.2023.04.004","url":null,"abstract":"<div><p>This study presents the method for optimal error tracking in position control for a servo pneumatic actuated robot grasper system using a new adjustable convergence rate prescribed performance control (ACR-PPC). It focuses on improving the feedback controller and the fractional-order proportional-integral-derivative (FOPID) controller used for the position control of each robot's finger. Multiple features were considered such as tracking error, rising time, faster transient response with finite-time convergence, oscillation reduction, and pressure stabilization in the pneumatic system. Experiments were conducted using a single finger of a tri-finger pneumatic gripper (TPG) robot, actuated by a single proportional valve with a double-acting cylinder (PPVDC). Two types of input trajectories were tested: step and sine wave inputs, which are common and critical for pneumatic systems. The results show that the proposed method eliminates oscillation and achieves high tracking performance within the prescribed bounds and minimal overshoot as well. The oscillation was suppressed with minimal overshoot and fast response was achieved by tuning the formulated adjustable prescribe performance function, thus improving the rising time response without significant loss of performance.</p></div>","PeriodicalId":100288,"journal":{"name":"Cognitive Robotics","volume":"3 ","pages":"Pages 93-106"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49732631","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

A colorization method for historical videos 一种历史视频的着色方法

Cognitive Robotics Pub Date : 2023-01-01 DOI: 10.1016/j.cogr.2023.07.001

Xin Jin, Yiqing Rong, Ke Liu, Chaoen Xiao, Xiaokun Zhang

引用次数: 0