My teaching philosophy is grounded in the belief that students learn engineering most effectively when they build, test, question, and iterate. Robotics is inherently hands-on — students gain true understanding when they see algorithms controlling real hardware, observe sensors responding to the environment, and diagnose how design choices shape system behavior.
I aim to help students connect foundational theory to the messy realities of real-world engineering, while building the engineering judgment and communication skills required for research and industry. I'm especially committed to creating environments where students from all backgrounds feel confident experimenting and asking questions.
Students built complete perception–manipulation systems, integrating sensing, control, and decision-making into full robotic workflows.
| Criterion | Rating |
|---|---|
| Clarity of explanations | 4.55 / 5 |
| Effectiveness in answering questions | 4.50 / 5 |
| Availability and willingness to help | 4.58 / 5 |
| Fostering an inclusive learning environment | 4.50 / 5 |