ME-5824: Algorithmic 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. Students review and present existing literature, conduct a research project. Pre: Graduate Standing.
Pathways: N/A
Course Hours: 3 credits
Sections Taught: 2
Average GPA: 3.25 (B+)
Strict A Rate (No A-) : 22.63%
Average Withdrawal Rate: 3.57%
| Dylan P Losey | 2023 | 31.0% | 54.8% | 10.7% | 0.0% | 0.0% | 3.6% | 3.26 | 2 |