Introduction
AI plays a crucial role in modern robotics, enabling machines to perceive, plan, and act intelligently. This course introduces participants to the intersection of robotics and AI technologies. Learners will explore robotic sensing, perception systems, motion planning, and control algorithms. Case studies highlight applications in automation, manufacturing, healthcare, and autonomous machines. By the end, participants will understand how AI enhances robotic capabilities.
Course Objectives
- Understand the fundamentals of robotics and AI integration
- Learn about robot perception and vision systems
- Explore control and planning algorithms
- Study real-world robotic applications
- Apply AI techniques to simulated robotics tasks
Target Audience
- Robotics students
- Engineers interested in AI
- Developers entering autonomous systems
- Researchers studying physical AI
- Automation professionals
Course Outline
- 5 Sections
- 0 Lessons
- 5 Days
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- Day 1: Robotics & AI Foundations• Robot components
• Types of robots
• Sensing and perception overview
• AI for decision-making
• Hands-on: Robot simulation basics0 - Day 2: Perception Systems• Camera and sensor data
• Object detection
• Mapping and localization
• Sensor fusion
• Hands-on: Perception pipeline0 - Day 3: Motion Planning• Pathfinding algorithms
• Obstacle avoidance
• Trajectory generation
• Reinforcement learning for control
• Hands-on: Plan robot paths0 - Day 4: Control Systems• Feedback control
• PID controllers
• Adaptive control
• Learning-based control
• Hands-on: Control a simulated robot0 - Day 5: Robotics Applications• Autonomous vehicles
• Service robots
• Industrial automation
• Robotics ethics
• Capstone robotics project0
Instructor
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