Casestudy on Machine learning in Robotics | AIML for Robotics | SNS Institutions скачать в хорошем качестве

Casestudy on Machine learning in Robotics | AIML for Robotics | SNS Institutions

Welcome to this exciting case study on Machine Learning in Robotics, where we explore how intelligent algorithms enable robots to learn, adapt, and make decisions in real-time environments. Robotics combined with machine learning is transforming industries by creating systems that can perceive, analyze, and act autonomously. In this video, we examine a practical case study that demonstrates how machine learning techniques enhance robotic performance in tasks such as object detection, path planning, obstacle avoidance, and predictive maintenance. Through this example, learners will understand how theoretical ML concepts are applied to real robotic systems. 🎯 What You Will Learn in This Video: Introduction to robotics and machine learning integration Role of sensors and data collection in robotic systems Supervised and reinforcement learning in robotics Vision-based object recognition and classification Decision-making and control using trained models Path optimization and adaptive learning Challenges in implementing ML in robotics Real-world applications and future scope This case study highlights how robots use machine learning models to process sensor data, identify patterns, and improve performance over time. You will also understand the importance of training data, model evaluation, and real-time constraints in robotic applications. The session is particularly useful for students in CSE, ECE, Mechatronics, AI, Robotics, and Embedded Systems, as well as learners interested in automation and intelligent systems. It provides a strong foundation for advanced topics such as autonomous systems, robotic vision, deep learning in robotics, and smart manufacturing. At SNS Institutions, we promote the Design Thinking approach—Empathize, Define, Ideate, Prototype, and Test—to foster innovation and problem-solving skills. This case study reflects that philosophy by focusing on real-world challenges and designing intelligent robotic solutions. 📌 Watch the complete video to discover how machine learning empowers robots to think, learn, and adapt in dynamic environments. 👍 Like the video 🔔 Subscribe for more case study-based learning 💬 Comment your questions or project ideas 📢 Share this video with your peers #snsinstitutions #snsdesignthinkers #designthinking