AI-Powered Robotics and Automation: Innovations, Challenges, and Pathways to the Future (Published)
Artificial Intelligence (AI) has profoundly transformed robotics and auto- mation by enabling unprecedented levels of intelligence, adaptability, and efficiency. This study explores the integration of AI into robotics, focusing on its applications, innovations, and implications for industries ranging from healthcare to manufacturing. From enhancing operational workflows to enabling autonomous decision-making, AI is reshaping how robots interact with humans and their environments. We propose a framework for seamless AI-driven robotics integration, emphasizing advancements in learning algorithms, sensor technologies, and human-robot collaboration. The study also identifies key challenges, including ethical concerns, scalability issues, and re- source constraints, while offering actionable insights and future directions. Results in- dicate significant enhancements in precision, operational efficiency, and decision-mak- ing capabilities, positioning AI-powered robotics as a cornerstone of modern automa- tion. Furthermore, the discussion extends to exploring the role of AI in emerging do- mains, such as swarm robotics, predictive analytics, and soft robotics, offering a for- ward-looking perspective on this transformative field.
Keywords: artificial intelligence, robotics, automation, machine learning, human-robot collaboration, IoT, ethical AI, industrial applications
Keywords: Artificial Intelligence, Automation, IoT, ethical AI, human-robot collaboration, industrial applications, machine learning, robotics
IoT-Enhanced Weather Monitoring System: Affordable Hardware Solution for Real-Time Data Collection, Storage, And Predictive Analysis (Published)
An IoT-based weather monitoring system that collects and stores weather data allowing easier access and recording is what this project entails. It is also incorporated with the ability to predict future weather data based on previous recordings. Keeping track of weather conditions is one of the most concentrated areas in our current society. Weather monitoring systems are built to collect these data from a wide range of areas. And there exist satellite systems which do similar work over a wider range of area. The goal of this project is to develop an inexpensive weather monitoring system that can gather these same data over a given area over time. The system is made of hardware built with ESP8266 (NodeMCU) and a website. The hardware device and the server transfer data using the industry-standard HTTP connection protocol. There exist various sensors like temperature sensors, humidity sensors, rain sensors and pressure sensor which are suitable for the full functioning of the system. These sensors collect and transmit data to a server via a Wi-Fi module to be stored and can be accessed on the webpage. These data are then analysed and used in predicting future data.
Keywords: IoT, Real-time data collection, Weather Monitoring, low-cost solution., predictive analysis