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
MVP A Mapping Video and Pathfinding System.- Real Time Low Cost Sewage Gas Detection and Alerting System using Arduino ESP and Telegram Bot Integration.- Patient Care Automation A Line Following Robot for Efficient Medicine Delivery.- Sustainable Adoption and Continued Use of Voice Based AI Examining the Environmental Impact through the Lens of the Technology Acceptance Model.- Optimized Vehicular Energy Network Energy Path Design and Power Loss Minimization for Smart Cities.- Adaptive Reading Therapy using Deep Reinforcement Learning Models.-IoT Based Real Time Fire Detection and Auto Shutoff System.- Kidney Condition Classification using Deep Learning and KNN.- Smart Health Tracker with GPS and Emergency Alert with Predictive Analysis.- WINIPL Winning Insights and Predictions for IPL Matches Using Machine Learning.- IoT Enabled Wearable System for Real Time ECG Monitoring with Machine Learning Based Heart Disease Detection.- Smart Farming Methods using IOT and Machine Learning to Protect Agricultural Crops from Wild Animals.- Computer Aided Design and Experimental Manu facturing of Complex Technological Machines for Agricultural Purposes.- Enhancing Factual Consistency in Large Language Models An Integrative Paradigm of Grounding and Self Prompting Methods for Hallucination Minimization.- Parallel Pancake Sorting using MPI and CUDA.- Enhancing Fashion Product Recommendations through CNN Based Ensemble Learning.- A Software Centric Approach to Heart Disease Monitor ing and Early Detection.- A study on Prognostic Condition of Plant Contagions in Grape and Tomato Leaves using EfficientNet.- Effective Methods for Predicting the Compressive Strength of UltraHighPerformance FiberReinforced Concrete.- Detection of Faults by Optimization Driven Methodology A Comprehensive Study on the Heath of Bearings.- Bi Objective based Secretary Bird Optimization Algorithm for Protein Multiple Sequence Alignment.- Modelling and Analysis of a Two Phalange Robotic Manipulator for Dexterous Grasping.- ML Driven Inclusive Education for Children with Disabilities.- Local Spatial Swarm Guided Evolutionary Algorithm and Bayesian Optimized Deep Learning for Disease Prediction using Multi omics.- PM25 Prediction Models A Systematic and Comparative Review.- Real Time Accident Detection and Alert System Using Accelerometer and GPS Module.- Investigation of Electrochemical Assisted Spark Machining of Margining Steel and Optimization of Process Parameters.- Empirical Analysis of Mechanical Properties and Residual Stress in Friction StirWelded 6061T6 and 6063T6 Aluminum Alloys.- Revolutionizing Plant Leaf Disease Classification using Convolutional Neural Networks.- Hybrid Approach to Digital Image Watermarking.- Post Quantum Secure LatticeBased Byzantine FaultTolerant Aggregate Signatures for Truck Platooning Networking System.- Security Challenges in 5G Networks Intrusion Detection and Prevention.- Speechtotext Conversion using Seq2seq Models.- Optimizing Breast Cancer Detection using Ensemble Method with Histopathological Images.- Speech Driven Cleft Palate Severity Classification using Deep Learning.- Enhanced Weed Detection for Cotton Crop using YOLO11 and Soft NMS.- Network Slicing in 5G and next Generation Networks with Energy Aware Allocation for HighMobility Scenarios.- Enhancing Fast Charging of Lithium-Ion Batteries in Electric Vehicles A Comparative Analysis of Cathode and Electrolyte Materials.- Aging Effects and Performance Analysis of Natural Fiber Reinforced Composites.