AI and IoT-based intelligent automation in robotics

著者

    • Dubey, Ashutosh Kumar
    • Kumar, Abhishek
    • Kumar, S. Rakesh
    • Gayathri, N.
    • Das, Prasenjit

書誌事項

AI and IoT-based intelligent automation in robotics

edited by Ashutosh Kumar Dubey ... [et al.]

Wiley-Scrivener, 2021

大学図書館所蔵 件 / 全2件

この図書・雑誌をさがす

注記

Includes bibliographical references and index

内容説明・目次

内容説明

The 24 chapters in this book provides a deep overview of robotics and the application of AI and IoT in robotics. It contains the exploration of AI and IoT based intelligent automation in robotics. The various algorithms and frameworks for robotics based on AI and IoT are presented, analyzed, and discussed. This book also provides insights on application of robotics in education, healthcare, defense and many other fields which utilize IoT and AI. It also introduces the idea of smart cities using robotics.

目次

Preface xvii 1 Introduction to Robotics 1 Srinivas Kumar Palvadi, Pooja Dixit and Vishal Dutt 1.1 Introduction 1 1.2 History and Evolution of Robots 3 1.3 Applications 6 1.4 Components Needed for a Robot 7 1.5 Robot Interaction and Navigation 10 1.5.1 Humanoid Robot 11 1.5.2 Control 11 1.5.3 Autonomy Levels 12 1.6 Conclusion 12 References 13 2 Techniques in Robotics for Automation Using AI and IoT 15 Sandeep Kr. Sharma, N. Gayathri, S. Rakesh Kumar and Rajiv Kumar Modanval 2.1 Introduction 16 2.2 Brief History of Robotics 16 2.3 Some General Terms 17 2.4 Requirements of AI and IoT for Robotic Automation 20 2.5 Role of AI and IoT in Robotics 21 2.6 Diagrammatic Representations of Some Robotic Systems 23 2.7 Algorithms Used in Robotics 25 2.8 Application of Robotics 27 2.9 Case Studies 30 2.9.1 Sophia 30 2.9.2 ASIMO 30 2.9.3 Cheetah Robot 30 2.9.4 IBM Watson 31 2.10 Conclusion 31 References 31 3 Robotics, AI and IoT in the Defense Sector 35 Rajiv Kumar Modanval, S. Rakesh Kumar, N. Gayathri and Sandeep Kr. Sharma 3.1 Introduction 36 3.2 How Robotics Plays an Important Role in the Defense Sector 36 3.3 Review of the World's Current Robotics Capabilities in the Defense Sector 38 3.3.1 China 38 3.3.2 United State of America 39 3.3.3 Russia 40 3.3.4 India 41 3.4 Application Areas of Robotics in Warfare 43 3.4.1 Autonomous Drones 43 3.4.2 Autonomous Tanks and Vehicles 44 3.4.3 Autonomous Ships and Submarines 45 3.4.4 Humanoid Robot Soldiers 47 3.4.5 Armed Soldier Exoskeletons 48 3.5 Conclusion 50 3.6 Future Work 50 References 50 4 Robotics, AI and IoT in Medical and Healthcare Applications 53 Pooja Dixit, Manju Payal, Nidhi Goyal and Vishal Dutt 4.1 Introduction 53 4.1.1 Basics of AI 53 4.1.1.1 AI in Healthcare 54 4.1.1.2 Current Trends of AI in Healthcare 55 4.1.1.3 Limits of AI in Healthcare 56 4.1.2 Basics of Robotics 57 4.1.2.1 Robotics for Healthcare 57 4.1.3 Basics of IoT 59 4.1.3.1 IoT Scenarios in Healthcare 60 4.1.3.2 Requirements of Security 61 4.2 AI, Robotics and IoT: A Logical Combination 62 4.2.1 Artificial Intelligence and IoT in Healthcare 62 4.2.2 AI and Robotics 63 4.2.2.1 Limitation of Robotics in Medical Healthcare 66 4.2.3 IoT with Robotics 66 4.2.3.1 Overview of IoMRT 67 4.2.3.2 Challenges of IoT Deployment 69 4.3 Essence of AI, IoT, and Robotics in Healthcare 70 4.4 Future Applications of Robotics, AI, and IoT 71 4.5 Conclusion 72 References 72 5 Towards Analyzing Skill Transfer to Robots Based on Semantically Represented Activities of Humans 75 Devi.T, N. Deepa, S. Rakesh Kumar, R. Ganesan and N. Gayathri 5.1 Introduction 76 5.2 Related Work 77 5.3 Overview of Proposed System 78 5.3.1 Visual Data Retrieval 79 5.3.2 Data Processing to Attain User Objective 80 5.3.3 Knowledge Base 82 5.3.4 Robot Attaining User Goal 83 5.4 Results and Discussion 83 5.5 Conclusion 85 References 85 6 Healthcare Robots Enabled with IoT and Artificial Intelligence for Elderly Patients 87 S. Porkodi and D. Kesavaraja 6.1 Introduction 88 6.1.1 Past, Present, and Future 88 6.1.2 Internet of Things 88 6.1.3 Artificial Intelligence 89 6.1.4 Using Robotics to Enhance Healthcare Services 89 6.2 Existing Robots in Healthcare 90 6.3 Challenges in Implementation and Providing Potential Solutions 90 6.4 Robotic Solutions for Problems Facing the Elderly in Society 98 6.4.1 Solutions for Physical and Functional Challenges 98 6.4.2 Solutions for Cognitive Challenges 98 6.5 Healthcare Management 99 6.5.1 Internet of Things for Data Acquisition 99 6.5.2 Robotics for Healthcare Assistance and Medication Management 102 6.5.3 Robotics for Psychological Issues 103 6.6 Conclusion and Future Directions 103 References 104 7 Robotics, AI, and the IoT in Defense Systems 109 Manju Payal, Pooja Dixit, T.V.M. Sairam and Nidhi Goyal 7.1 AI in Defense 110 7.1.1 AI Terminology and Background 110 7.1.2 Systematic Sensing Applications 111 7.1.3 Overview of AI in Defense Systems 112 7.2 Overview of IoT in Defense Systems 114 7.2.1 Role of IoT in Defense 116 7.2.2 Ministry of Defense Initiatives 117 7.2.3 IoT Defense Policy Challenges 117 7.3 Robotics in Defense 118 7.3.1 Technical Challenges of Defense Robots 120 7.4 AI, Robotics, and IoT in Defense: A Logical Mix in Context 123 7.4.1 Combination of Robotics and IoT in Defense 123 7.4.2 Combination of Robotics and AI in Defense 124 7.5 Conclusion 126 References 127 8 Techniques of Robotics for Automation Using AI and the IoT 129 Kapil Chauhan and Vishal Dutt 8.1 Introduction 130 8.2 Internet of Robotic Things Concept 131 8.3 Definitions of Commonly Used Terms 132 8.4 Procedures Used in Making a Robot 133 8.4.1 Analyzing Tasks 133 8.4.2 Designing Robots 134 8.4.3 Computerized Reasoning 134 8.4.4 Combining Ideas to Make a Robot 134 8.4.5 Making a Robot 134 8.4.6 Designing Interfaces with Different Frameworks or Robots 134 8.5 IoRT Technologies 135 8.6 Sensors and Actuators 137 8.7 Component Selection and Designing Parts 138 8.7.1 Robot and Controller Structure 140 8.8 Process Automation 141 8.8.1 Benefits of Process Automation 141 8.8.2 Incorporating AI in Process Automation 141 8.9 Robots and Robotic Automation 142 8.10 Architecture of the Internet of Robotic Things 142 8.10.1 Concepts of Open Architecture Platforms 143 8.11 Basic Abilities 143 8.11.1 Discernment Capacity 143 8.11.2 Motion Capacity 144 8.11.3 Manipulation Capacity 144 8.12 More Elevated Level Capacities 145 8.12.1 Decisional Self-Sufficiency 145 8.12.2 Interaction Capacity 145 8.12.3 Cognitive Capacity 146 8.13 Conclusion 146 References 146 9 An Artificial Intelligence-Based Smart Task Responder: Android Robot for Human Instruction Using LSTM Technique 149 T. Devi, N. Deepa, SP. Chokkalingam, N. Gayathri and S. Rakesh Kumar 9.1 Introduction 150 9.2 Literature Review 152 9.3 Proposed System 152 9.4 Results and Discussion 157 9.5 Conclusion 161 References 162 10 AI, IoT and Robotics in the Medical and Healthcare Field 165 V. Kavidha, N. Gayathri and S. Rakesh Kumar 10.1 Introduction 165 10.2 A Survey of Robots and AI Used in the Health Sector 167 10.2.1 Surgical Robots 167 10.2.2 Exoskeletons 168 10.2.3 Prosthetics 170 10.2.4 Artificial Organs 171 10.2.5 Pharmacy and Hospital Automation Robots 172 10.2.6 Social Robots 173 10.2.7 Big Data Analytics 175 10.3 Sociotechnical Considerations 176 10.3.1 Sociotechnical Influence 176 10.3.2 Social Valence 177 10.3.3 The Paradox of Evidence-Based Reasoning 178 10.4 Legal Considerations 180 10.4.1 Liability for Robotics, AI and IoT 180 10.4.2 Liability for Physicians Using Robotics, AI and IoT 181 10.4.3 Liability for Institutions Using Robotics, AI and IoT 182 10.5 Regulating Robotics, AI and IoT as Medical Devices 183 10.6 Conclusion 185 References 185 11 Real-Time Mild and Moderate COVID-19 Human Body Temperature Detection Using Artificial Intelligence 189 K. Logu, T. Devi, N. Deepa, S. Rakesh Kumar and N. Gayathri 11.1 Introduction 190 11.2 Contactless Temperature 191 11.2.1 Bolometers (IR-Based) 192 11.2.2 Thermopile Radiation Sensors (IR-Based) 193 11.2.3 Fiber-Optic Pyrometers 193 11.2.4 RGB Photocell 194 11.2.5 3D Sensor 195 11.3 Fever Detection Camera 196 11.3.1 Facial Recognition 197 11.3.2 Geometric Approach 198 11.3.3 Holistic Approach 198 11.3.4 Model-Based 198 11.3.5 Vascular Network 199 11.4 Simulation and Analysis 200 11.5 Conclusion 203 References 203 12 Drones in Smart Cities 205 Manju Payal, Pooja Dixit and Vishal Dutt 12.1 Introduction 206 12.1.1 Overview of the Literature 206 12.2 Utilization of UAVs for Wireless Network 209 12.2.1 Use Cases for WN Using UAVs 209 12.2.2 Classifications and Types of UAVs 210 12.2.3 Deployment of UAVS Using IoT Networks 213 12.2.4 IoT and 5G Sensor Technologies for UAVs 214 12.3 Introduced Framework 217 12.3.1 Architecture of UAV IoT 217 12.3.2 Ground Control Station 218 12.3.3 Data Links 218 12.4 UAV IoT Applications 223 12.4.1 UAV Traffic Management 223 12.4.2 Situation Awareness 223 12.4.3 Public Safety/Saving Lives 225 12.5 Conclusion 227 References 227 13 UAVs in Agriculture 229 DeepanshuSrivastava, S. RakeshKumar and N. Gayathri 13.1 Introduction 230 13.2 UAVs in Smart Farming and Take-Off Panel 230 13.2.1 Overview of Systems 230 13.3 Introduction to UGV Systems and Planning 234 13.4 UAV-Hyperspectral for Agriculture 236 13.5 UAV-Based Multisensors for Precision Agriculture 239 13.6 Automation in Agriculture 242 13.7 Conclusion 245 References 245 14 Semi-Automated Parking System Using DSDV and RFID 247 Mayank Agrawal, Abhishek Kumar Rawat, Archana, SandhyaKatiyar and Sanjay Kumar 14.1 Introduction 247 14.2 Ad Hoc Network 248 14.2.1 Destination-Sequenced Distance Vector (DSDV) Routing Protocol 248 14.3 Radio Frequency Identification (RFID) 249 14.4 Problem Identification 250 14.5 Survey of the Literature 250 14.6 PANet Architecture 251 14.6.1 Approach for Semi-Automated System Using DSDV 252 14.6.2 Tables for Parking Available/Occupied 253 14.6.3 Algorithm for Detecting the Empty Slots 255 14.6.4 Pseudo Code 255 14.7 Conclusion 256 References 256 15 Survey of Various Technologies Involved in Vehicle-to-Vehicle Communication 259 Lisha Kamala K., Sini Anna Alex and Anita Kanavalli 15.1 Introduction 259 15.2 Survey of the Literature 260 15.3 Brief Description of the Techniques 262 15.3.1 ARM and Zigbee Technology 262 15.3.2 VANET-Based Prototype 262 15.3.2.1 Calculating Distance by Considering Parameters 263 15.3.2.2 Calculating Speed by Considering Parameters 263 15.3.3 Wi-Fi-Based Technology 263 15.3.4 Li-Fi-Based Technique 264 15.3.5 Real-Time Wireless System 266 15.4 Various Technologies Involved in V2V Communication 267 15.5 Results and Analysis 267 15.6 Conclusion 268 References 268 16 Smart Wheelchair 271 Mekala Ajay, Pusapally Srinivas and Lupthavisha Netam 16.1 Background 271 16.2 System Overview 275 16.3 Health-Monitoring System Using IoT 275 16.4 Driver Circuit of Wheelchair Interfaced with Amazon Alexa 276 16.5 MATLAB Simulations 277 16.5.1 Obstacle Detection 277 16.5.2 Implementing Path Planning Algorithms 278 16.5.3 Differential Drive Robot for Path Following 280 16.6 Conclusion 282 16.7 Future Work 282 Acknowledgment 283 References 283 17 Defaulter List Using Facial Recognition 285 Kavitha Esther, Akilindin S.H., Aswin S. and Anand P. 17.1 Introduction 286 17.2 System Analysis 287 17.2.1 Problem Description 287 17.2.2 Existing System 287 17.2.3 Proposed System 287 17.3 Implementation 289 17.3.1 Image Pre-Processing 289 17.3.2 Polygon Shape Family Pre-Processing 289 17.3.3 Image Segmentation 289 17.3.4 Threshold 289 17.3.5 Edge Detection 291 17.3.6 Region Growing Technique 291 17.3.7 Background Subtraction 291 17.3.8 Morphological Operations 291 17.3.9 Object Detection 292 17.4 Inputs and Outputs 292 17.5 Conclusion 292 References 293 18 Visitor/Intruder Monitoring System Using Machine Learning 295 G. Jenifa, S. Indu, C. Jeevitha and V. Kiruthika 18.1 Introduction 296 18.2 Machine Learning 296 18.2.1 Machine Learning in Home Security 297 18.3 System Design 297 18.4 Haar-Cascade Classifier Algorithm 298 18.4.1 Creating the Dataset 298 18.4.2 Training the Model 299 18.4.3 Recognizing the Face 299 18.5 Components 299 18.5.1 Raspberry Pi 299 18.5.2 Web Camera 300 18.6 Experimental Results 300 18.7 Conclusion 302 Acknowledgment 302 References 303 19 Comparison of Machine Learning Algorithms for Air Pollution Monitoring System 305 Tushr Sethi and R. C. Thakur 19.1 Introduction 305 19.2 System Design 306 19.3 Model Description and Architecture 307 19.4 Dataset 308 19.5 Models 310 19.6 Line of Best Fit for the Dataset 312 19.7 Feature Importance 313 19.8 Comparisons 315 19.9 Results 318 19.10 Conclusion 318 References 321 20 A Novel Approach Towards Audio Watermarking Using FFT and CORDIC-Based QR Decomposition 323 Ankit Kumar, Astha Singh, Shiv Prakash and Vrijendra Singh 20.1 Introduction and Related Work 324 20.2 Proposed Methodology 326 20.2.1 Fast Fourier Transform 328 20.2.2 CORDIC-Based QR Decomposition 329 20.2.3 Concept of Cyclic Codes 331 20.2.4 Concept of Arnold's Cat Map 331 20.3 Algorithm Design 331 20.4 Experiment Results 334 20.5 Conclusion 337 References 338 21 Performance of DC-Biased Optical Orthogonal Frequency Division Multiplexing in Visible Light Communication 339 S. Ponmalar and Shiny J.J. 21.1 Introduction 340 21.2 System Model 341 21.2.1 Transmitter Block 341 21.2.2 Receiver Block 342 21.3 Proposed Method 342 21.3.1 Simulation Parameters for OptSim 343 21.3.2 Block Diagram of DCO-OFDM in OptSim 343 21.4 Results and Discussion 344 21.5 Conclusion 352 References 353 22 Microcontroller-Based Variable Rate Syringe Pump for Microfluidic Application 355 G. B. Tejashree, S. Swarnalatha, S. Pavithra, M. C. Jobin Christ and N. Ashwin Kumar 22.1 Introduction 356 22.2 Related Work 357 22.3 Methodology 358 22.3.1 Hardware Design 359 22.3.2 Hardware Interface with Software 360 22.3.3 Programming and Debugging 361 22.4 Result 362 22.5 Inference 363 22.5.1 Viscosity ( ) 365 22.5.2 Time Taken 365 22.5.3 Syringe Diameter 366 22.5.4 Deviation 366 22.6 Conclusion and Future Works 366 References 368 23 Analysis of Emotion in Speech Signal Processing and Rejection of Noise Using HMM 371 S. Balasubramanian 23.1 Introduction 372 23.2 Existing Method 373 23.3 Proposed Method 374 23.3.1 Proposed Module Description 375 23.3.2 MFCC 376 23.3.3 Hidden Markov Models 379 23.4 Conclusion 382 References 383 24 Securing Cloud Data by Using Blend Cryptography with AWS Services 385 Vanchhana Srivastava, Rohit Kumar Pathak and Arun Kumar 24.1 Introduction 385 24.1.1 AWS 387 24.1.2 Quantum Cryptography 388 24.1.3 ECDSA 389 24.2 Background 389 24.3 Proposed Technique 392 24.3.1 How the System Works 393 24.4 Results 394 24.5 Conclusion 396 References 396 Index 399

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