Program Overview
This module explores the intersection of hardware and software in modern robotics, with a focus on embodied AI systems that interact with the physical world. Students will examine industrial automation, computer vision applications, and the ethical considerations of human-robot interaction.
Through site visits to manufacturing facilities, research labs, and technology companies, students gain hands-on experience with robotic systems and understand how AI is transforming manufacturing and service industries.
Key Learning Outcomes
- Understand the kinematics and dynamics of robotic systems
- Analyze SLAM (Simultaneous Localization and Mapping) algorithms in real-world settings
- Evaluate computer vision applications in robotics
- Explore ethical considerations in human-robot interaction
- Develop frameworks for assessing robotic system capabilities and limitations
Industry Partners
- Manufacturing Companies: Factory automation tours and demonstrations
- Research Institutions: Academic robotics labs and presentations
- Technology Companies: Commercial robotics applications
- Innovation Labs: Emerging robotics technologies
Daily Itinerary Sample
Day 1-2: Foundation
- Introduction to robotics and embodied AI
- Kinematics and dynamics workshops
- Computer vision fundamentals
Day 3-4: Field Visits
- Manufacturing facility tours
- Research lab demonstrations
- Technology company visits
Day 5-6: Analysis
- SLAM algorithm workshops
- Ethics discussions
- Student project development
Day 7: Synthesis
- Final presentations
- Industry feedback
- Closing sessions
Assessment
Students develop a research project analyzing a robotic system, evaluating technical implementation, applications, and ethical considerations.
Prerequisites
Background in engineering, computer science, or robotics preferred. Interest in hardware-software integration and AI applications required.
