ME-4824: Introduction to Human-Robot Interaction
Description: Formalizing interaction between robots and humans. Developing learning and control algorithms that enable robots to seamlessly and intelligently collaborate with humans. Mathematical approaches to human-robot interaction, learning from demonstration, Bayesian inference, intent detection, safe and optimal control, assistive autonomy, and user study design. Review and present existing literature.
Pathways: N/A
Course Hours: 3 credits
Corequisites: N/A
Crosslist: N/A
Repeatability: N/A
Sections Taught: 2
Average GPA: 3.05 (B+)
Strict A Rate (No A-) : 8.70%
Average Withdrawal Rate: 4.55%
Dylan P Losey | 2023 | 30.7% | 43.6% | 12.5% | 8.7% | 0.0% | 4.5% | 3.05 | 2 |