B.S. in Robotics

This track equips students with foundational and advanced knowledge in autonomous systems through courses in artificial intelligence, advanced machine learning, reinforcement learning, image processing, and behavior-based robotics. In this track, students explore the design and modeling of intelligent, autonomous systems.

This track emphasizes the computational foundations of robotics, with a focus on a range of specialties, including data analytics, algorithm design, and intelligent systems. Students in this track will explore numerical methods, statistical modeling, high-performance computing, data mining, and analytics.

This track focuses on the integration of hardware and software in real-time environments, preparing students to design and analyze embedded and cyber-physical systems. Students in this track explore topics such as digital systems, embedded computing, internet of things, signal processing, wearable sensors, and networked systems.

This track explores the intersection of robotics, human-computer interaction, and socio-technical systems, emphasizing the design of technologies that prioritize human needs and experiences. Students will cover areas such as human-guided and human-in-the-loop systems, virtual reality, smart cities, user-interface design, and ethical considerations in human-robot interaction.

This track focuses on the hands-on design, fabrication, and testing of robotic systems, preparing students to build and refine autonomous machines. Students who choose this track engage with topics such as aerial and aquatic systems, automated fabrication, and real-world robotics applications in complex environments.

This track focuses on the design and study of robotic systems inspired by biological processes and organisms. Students who choose this track will explore bio-inspired computing, artificial life, cognitive modeling, and swarm-based systems, with future course offerings expanding the field’s interdisciplinary scope.