Mobile Robots treats a robot moving through the world as a coupled problem of motion, sensing, and belief, you model how wheels or legs actually constrain where the body can go, then close the loop with noisy sensors and a probabilistic estimate of where you are. The work centers on kinematic modeling (holonomic vs. non-holonomic constraints, maneuverability), Kalman-filter localization, and path planning, delivered through homework, a lab, and a term project built around Siegwart & Nourbakhsh. As a graduate-level entry point into autonomous robotics, it sets up the perception, SLAM, and planning machinery that downstream research in field robotics and autonomous vehicles assumes you already understand.
→ STARS müfredatı (resmi syllabus)
Bilkent'in resmî syllabus'ünden. Sağdaki etiket o çıktının hangi değerlendirmeyle ölçüldüğünü söylüyor.
Students are advised to consult the instructor regarding the use of Generative AI tools and their appropriateness. Responsible use of GenAI is encouraged in accordance with Bilkent University's GenAI Guidelines (https://w3.bilkent.edu.tr/bilkent/generative-artificial-intelligence-genai-guideline).
İlk dosyayı sen atarsan: not, slayt, geçmiş sınav, çözüm, cheat-sheet, ne varsa. defter ekibi öğrenci paylaşımlarından bu dersin notlarını yazar. Drive linki / PDF / ZIP, hepsi olur.
No FZ is given in this course.