Research Areas

Focus Areas

Focus courses must belong to the same focus area, which is selected by the student among four possible choices. At most 1 focus course can be at the undergraduate level, from the approved list in each focus area.

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Embodied AI and Machine Learning

Courses

CS170: Introduction to Artificial Intelligence
CS 171/EE 142: Introduction to Machine Learning and Data Mining
CS 173: Introduction to Natural Language Processing
CS 205: Artificial Intelligence
CS 222: Natural Language Processing
CS 277: Data Centric Computer Architecture
CS/EE 228: Deep Learning
CS 229/EE 242B: Advanced Machine Learning
CS 235: Data Mining Techniques
CS/EE 248: Optimization for Machine Learning
CS 258/EE 227: Introduction to Reinforcement Learning
EE146: Computer Vision
EE 236: State and Parameter Estimation Theory
EE 241: Advanced Digital Image Processing
EE 243: Advanced Computer Vision
EE 244: Computational Learning
EE 247: Current Topics in Computer Vision and Pattern Recognition
EE 250: Information Theory
EE 267: Introduction to Auto Driving Systems
EE 268: Trustworthy Artificial Intelligence for Autonomy
EE 269: Foundation Models and Advanced AI
ME 202: Spectral Computational Methods
ME 233: Artificial Intelligence for Design

Motion Planning and Autonomous Navigation

Courses

EE132/ME 121: Power Electronics
EE 144: Foundations of Robotics
EE 151: Digital Communications
EE 231: Convex Optimization in Engineering Applications
EE 235: Linear System Theory
EE 236: State and Parameter Estimation Theory
EE 237: Nonlinear System and Control
EE 238: Linear Multivariable Control
EE 239: Optimal Control
EE 246: Intelligent Transportation Systems
EE 268: Trustworthy AI for Autonomy
ME 145: Robotics Planning and Kinematics
ME 220: Optimal Control and Estimation
ME 221: Kinematics and Dynamics of Robots
ME 223: Secure and Reliable Control Systems

Robot Design and System Integration

CS/EE 131: Edge Computing
CS 135: Virtual Reality
CS 256/EE 258: Distribute Computing in CPS
EE 128: Sensing and Actuation for Embedded Systems
EE 217: Graphics Processing Unit Architecture and Parallel Programming
EE 246: Intelligent Transportation Systems
EE 252: Data Center Architecture
EE 255: Real-Time Embedded System
EE 258: Modeling and Synthesis of Cyber-Physical Systems
EE 267: Introduction to Auto Driving Systems
ME 174: Machine Design
ME 175B: Mechanical Engineering Design
ME 175C: Mechanical Engineering Design
ME 210: Sustainable Product Design
ME 230: Computer-Aided Engineering Design
ME 232: Computational Design Tools
ME 271: Therapeutic Biomedical Microdevices

Robotics @ UCR

Research Areas

Focus Areas

Embodied AI and Machine Learning

Courses

Motion Planning and Autonomous Navigation

Courses

Robot Design and System Integration

Bourns College of Engineering