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ME 574

Mobile Robots

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.

Credit3ECTS5FacultyFaculty of EngineeringBölümMechanical Engineering

Değerlendirme 100% — 4 adım

20%
20%
25%
35%
Lab work Lab Sessions and Reports (Average) 20%
Homework Homeworks and Related Quizzes (Average) 20%
Project Semester Project 25%
Final Final Exam 35%

Önerilen kaynaklar 1 kitap

📖
Önerilen
Introduction to Autonomous Mobile Robots
Roland Siegwart, Illah Nourbakhsh
Davide Scaramuzza · 2nd Edition

Haftalık müfredat 14 hafta

Hafta 1
Introduction mobile robots, locomotion types used in robots, wheeled vs. legged locomotion
Hafta 2
Legged mobile robot locomotion, leg configurations, stability
Hafta 3
Wheeled mobile robot design, mobile robot kinematics
Hafta 4
Wheeled mobile robot kinematics, kinematic constraints
Hafta 5
Mobile robot maneuverability, degree of mobility, degree of steerability, degrees of freedom
Hafta 6
Holonomic and non-holonomic mobile robots and constraints
Hafta 7
Robot motion control, trajectory following, feedback loop in mobile robots
Hafta 8
Mobile robot perception, sensors for mobile robots, uncertainty of robot sensors
Hafta 9
Error propagation in robot perception, statistical representation of uncertainty
Hafta 10
Mobile robot localization, noise, and aliasing
Hafta 11
Belief representation, map representation
Hafta 12
Probabilistic map-based localization, Kalman filter localization
Hafta 13
Planning and navigation of mobile robots, introduction to path planning
Hafta 14
Path planning algorithms for mobile robots, obstacle avoidance algorithms

🤖 GenAI politikası

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).

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