Proceedings of the Third Congress on Control, Robotics, and Mechatronics
Description
This book features high-quality research papers presented at the International Conference of Mechanical and Robotic Engineering "Congress on Control, Robotics, and Mechatronics" (CRM 2025), jointly organized by SR University, Warangal, India, and Soft Computing Research Society, India, during 1-2 February 2025. This book discusses the topics such as combustion and fuels, controls and dynamics, fluid mechanics, I.C. engines and automobile engineering, machine design, mechatronics, rotor dynamics, solid mechanics, thermodynamics and combustion engineering, composite material, aerodynamics, aerial vehicles, missiles and robots, automatic design and manufacturing, artificial intelligence, unmanned aerial vehicles, autonomous robotic vehicles, evolutionary robotics, humanoids, hardware architecture, industrial robotics, intelligent control systems, microsensors and actuators, multi-robots systems, neural decoding algorithms, neural networks for mobile robots, space robotics, control theory and applications, model predictive control, variable structure control, and decentralized control.
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Dr. Harish Sharma is Associate Professor in the Department of Computer Science & Engineering at Rajasthan Technical University, Kota. He earned his B.Tech and M.Tech from Govt. Engineering College, Kota and RTU in 2003 and 2009, respectively, and completed his Ph.D. at ABV-IIITM, Gwalior. He is a founding member and secretary of the Soft Computing Research Society of India and a life member of the Cryptology Research Society of India. Dr. Sharma serves as Associate Editor of the International Journal of Swarm Intelligence and has guest-edited special issues in journals like Memetic Computing, JETAI, and Evolutionary Intelligence. His main research interests lie in nature-inspired optimization, and he has authored over 125 publications in reputed journals and conferences.
Dr. Pradeep Kumar Jha is Professor in the Department of Mechanical and Industrial Engineering. He earned his B.E. and M.E. from M.I.T. Muzaffarpur and NIFFT Ranchi, and his Ph.D. from IIT Kharagpur. He has held faculty positions at IIT Guwahati and IIT (ISM) Dhanbad before joining IIT Roorkee in 2007. His expertise lies in manufacturing engineering, especially in casting operations, modeling of continuous casting, and metal matrix composites. He has published over 100 research papers, guided 10 Ph.D. theses (with 9 ongoing), and supervised over 65 M.Tech/B.Tech theses. Dr. Jha has led numerous projects funded by DST, CSIR, and SERB and developed eight NPTEL courses widely used across IITs and other institutions.
Prof. Prashant K. Jamwal holds a Ph.D. and postdoctoral fellowship from the University of Auckland, and earned his M.Tech. from IIT and B.Tech. from MNREC, Allahabad. He is currently Professor at Nazarbayev University, Kazakhstan, and Adjunct Professor at University of Canberra, Australia. His research spans robotics, AI, multi-objective optimization, biomedical engineering, and renewable energy. He has developed medical robots for rehabilitation and cancer data analytics. With over 100 publications and more than 25 years of experience, his work has received several honors, including the Jewel of India award and recognition by the UN as one of the top 20 innovative global projects. Prof. Jamwal is Editor of the International Journal of Bio-Mechatronics and Bio-Robotics and has managed projects worth over $9 million.
Dr. Brajesh Tripathi earned his Ph.D. in Mechanical Engineering from IIT Kharagpur in 2008 and completed a postdoctoral fellowship at Michigan State University, working on a U.S. government-sponsored CFD project. He is now Associate Professor at Rajasthan Technical University, Kota. Dr. Tripathi has secured six research grants from organizations like GNIDA, NAL, BRNS, MHRD, and AICTE. He has supervised 8 Ph.D. and 26 M.Tech. scholars and published over 130 papers. His research focuses on computational fluid dynamics with applications in diesel engines, HVAC systems, turbulent flows, and unconventional energy systems.
Dr. Pankaj Kumar is Associate Professor and Head of the Mechanical Engineering Department at SR University, Warangal. He earned his Ph.D. from IIT(ISM) Dhanbad and was awarded a Teaching Assistant Fellowship by India's Ministry of Human Resource Development in 2011. With over 15 years of experience, Dr. Kumar specializes in additive manufacturing, micromachining, nanomaterials, composites, and sustainable manufacturing. He has authored more than 50 research articles, 3 books, 10 book chapters, and holds 6 patents. He has received a Best Paper Award at an international conference in 2019 and serves on the editorial board of PLOS ONE and as a reviewer for numerous international journals.
Content
Dual-Stream Anxiety Detection: LSTM-Based Speech Analysis and CNN-Driven Sentiment Analysis.- Real World Breast Cancer Imaging Data - LLM Led Analytics for Insights & Evidence Generation.- Scalable 5G Network Optimization for Smart Cities.- Leveraging YOLOv9 and Deep Learning for Plant and Animal Disease Detection and Management.- To The Point: Text Summarisation On English And Indic languages using NLP And Multilingual API.- Disease Detection in Tomato Plants using Deep Learning Approach (Inception V3).- Review on Optimization and Artificial Intelligence Algorithms for Effective Battery Management in EVs.- Technological Advancements in Non-Verbal Communication with an OpenCV Framework for Gesture Translation.- The Next Frontier of Home Automation and the Impact of Voice Technology.- Creative Image Generation from prompt text using CLIP and VQGAN models.- Concealed in Art: An Approach to Secure Communication Using Style Transfer, AES and RSA Encryption, and LSB Steganography.- Designing Elliptical Photonic Crystal Fibers For Sensing Applications in Near Infra-Red Region.- Advanced Intrusion Detection using Machine Learning Models with Calibration Methods.- Advanced Detection and Investigation using GRR Framework on AWS EKS.- Integrated Data and Fault Ingestion for Sensor Signal Emulation in HiL Frameworks for IoT Applications.- Implementing STRIPS Planner for Automated Task Scheduling.- Design of Approximate Multiplier for Multimedia Application in Deep Neural Network Pre-processing.- Research On Simulating The Effect Of Current Intensity On Damping Force Using Magnetorheological Fluid By Matlab Software.- Smart Helmet: Fall Detection and Safety Features for Riders.- Comparative Analysis of Machine Learning and Deep Learning Models for Real Estate stock price forecasting Prediction.- An Audio-Visual Speech Separation and Personalized Keyphrase Detection in Noisy Environments.- Comparative Analysis of Cervical Cancer Dataset using Kolmogorov Arnold Networks.- Enhancing Fake News Detection in Political Claims: A High-Recall BERT and LSTM Approach with the LIAR Dataset.