Journal of Mechanical Robotics (e-ISSN: 2582-2187) http://matjournals.co.in/index.php/JoMR <p><strong>JOMR</strong> is a peer-reviewed journal in the discipline of Engineering published by the MAT Journals Pvt. Ltd. The Journal provides a platform to Researchers, Academicians, Scholars, Professionals, and students in the Domain of Mechanical Engineering to promulgate their Research/Review/Case studies in the field of Mechanical Robotics Engineering. The Journal aims to promote high-quality empirical Research, Review articles, case studies and short communications mainly focused on Industrial Robots, Linear Actuators, Mechanical Grippers, One-Wheeled Balancing Robots, Human-Robot Interaction, Robotic Voice, Artificial Emotions, Rolling Robots, sensors, drives, artificial intelligence and machine learning, variety of robots that includes crawling, swimming, any terrain, legged robots and flying robots.</p> en-US Journal of Mechanical Robotics (e-ISSN: 2582-2187) Fabrication of a Bomb Detection Robotic Unit to Diffuse Bombs in Sensitive Places http://matjournals.co.in/index.php/JoMR/article/view/1263 <p>We describe the design and development of a robot bomb detector for defense purposes in this study. Hardware has been conceptualized and practically applied. Threats to the national and international economy have persisted due to the global panorama of terrorism. Most detection methods are inefficient and don't deliver accurate findings for sensing and evacuation. For circumstances when time is of the essence, a time-consuming search technique or examination is not recommended. This study proposes CTD for the identification of hazardous transportation modes linked with an improvised explosive device in response to these worries (IED). It is described how an intelligent wireless sensor bomb detection system (IWSBDS) can reliably capture hazardous chemicals in both open and closed environments. For effectively coordinating the tasks of bomb sensing, signal transmission, and reception, a real-time embedded system framework (RTESF) is presented. Device dynamics and kinematics, such as a robotic-based trap unit, are triggered by the system. Additionally, it offers quick monitoring and detection of both marked regions and questionable things. The multi-level control architecture is used in the design to enable hardware and software integration. The obtained results show that IWSBDS is functional and can disarm identified terrorists at excavated locations by using triangulation. The work displayed here is a mini-project completed by second-semester students in the electronics and communication engineering program at Bangalore's Dayananda Sagar College of Engineering.</p> Suhasini V.K. Praveen N. K.N. Vijaykumar Ananya Saumya Anitosh Dash Krushi Raj Preethi S. Aralikatti M. Sindhu Shree M. Adithya T.G. Pavithra G. T.C.Manjunath Copyright (c) 2022 Journal of Mechanical Robotics (e-ISSN: 2582-2187) 2022-11-21 2022-11-21 7 3 16 19 Analysis of Inverse Dynamics of 6-DOF Stanford Robotic Arm by Adaptive Neuro-Fuzzy Inference System (ANFIS) http://matjournals.co.in/index.php/JoMR/article/view/1067 <p>Inverse dynamics is characterized as a specified robot’s inertial and geometrical constraints, together with its joint motions, getting the torques and forces of the joint. Stanford robotic arm is described by high flexibility, particularly in assembly and handling applications. The main significant problem in robot dynamics and control is, estimating the torques that should be useful to the levers specified that the last part of the levers is required to pass through various paths. As the difficulty of robot increases, determining the inverse dynamics is complicated. In this paper, Adaptive Neuro-Fuzzy Inference System (ANFIS) will be applied to explain the inverse dynamics of the 6-DOF Stanford Robotic Arm by training the system by applying data that was saved by the arm robot using rob analyzer software, and after that, the outcome will be analyzed to confirm the model.</p> Ranjit Barua Sajid Rahaman Puspita Shee Akash Kumar Deepanjan Das Sumit Bhowmik Copyright (c) 2022 Journal of Mechanical Robotics (e-ISSN: 2582-2187) 2022-09-23 2022-09-23 7 3 1 7 Artificial Intelligence – Upcoming Technology http://matjournals.co.in/index.php/JoMR/article/view/1183 <p>In today's advanced world, Artificial Intelligence, abbreviated as AI, is the world's future. Many industries are now primarily based on AI. Firms such as Amazon, Accenture, Apple, and others are now focusing more on this technology. Apart from large IT-based corporations, many automotive firms, such as Tesla, use AI to improve user experience. Everyone is looking for AI, and everyone is rooting for it, but in developing countries like India, there are limited resources for a solid foundation to learn. Numerous online platforms offer AI education, and a few colleges and universities have begun to include AI as a subject in their curriculum. Artificial intelligence has the potential to eliminate human error and tactical thinking. To gain a better understanding of AI's function and how educational institutions are approaching it to develop the future foundation and create educational awareness in India. We simply attempted to provide some AI insight to beginners with this paper.</p> Prerana M. Sheth Amey A. Bhalekar Copyright (c) 2022 Journal of Mechanical Robotics (e-ISSN: 2582-2187) 2022-10-31 2022-10-31 7 3 8 15