Intelligent Robotic Systems: Practical Problem Solving

Developing autonomous robotic systems requires a strong foundation in control logic, spatial awareness, and algorithmic problem solving. This text-based course guides you through essential principles and practical problem sets inspired by intelligent robotics challenges. You will begin with fundamental concepts and terminology before exploring core algorithms used in modern autonomous devices. What you'll learn: - Understand foundational robotics terminology, kinematics, and coordinate systems - Apply path planning algorithms such as A* and grid-based navigation - Process sensor data from distance sensors, encoders, and basic visual inputs - Analyze principles of modern framework architectures like ROS 2 nodes and topics - Practice solving algorithmic challenges and logical problem sets step by step - Implement basic obstacle avoidance and trajectory execution strategies The material starts with essential theoretical definitions and math concepts, moving logically into practical pseudocode analysis and engineering logic. This course is ideal for beginners, students preparing for technical robotics competitions, and developers curious about autonomous systems. Start reading today to build your expertise in intelligent robotics engineering.