Home Penn Courses Robotics Aerial Robotics Robotics: Aerial Robotics Learn about the mechanics of flight and design of aerial robots through the Robotics: Aerial Robotics Certification Course.
Interested in this College? Get updates on Eligibility, Admission, Placements Fees Structure
Brochure Compare Quick Facts Medium Of Instructions Mode Of Learning Mode Of Delivery English Self Study Video and Text Based
Course Overview The Robotics: Aerial Robotics Certification Course is the first out of six of the Robotics Specialization Programme offered by the faculty of the University of Pennsylvania. The course provides a detailed introduction to the mechanics of flight, the working of quadrotor flying robots and the robotics engineering mechanism that supports other micro aerial vehicles.
The Robotics: Aerial Robotics Online Course will provide a window towards different dynamic models, device controllers, and planners operating in three dimensional environments. Through this 100% online course, learners will be able to witness real world examples from the immensely growing drone industry along with its practical applications.
The Robotics: Aerial Robotics Training Course is taught by Prof. Vijay Kumar, Professor of Mechanical Engineering and Applied Mechanics of the University of Pennsylvania. The course would require learners to have some mathematics knowledge in linear algebra, single variable calculus, and differential equations along with basic programming experience with MATLAB or Octave.
The Highlights Shareable certificate Self-paced course Flexible deadlines 100% online 3 weeks duration 18 study hours Course videos Academic readings Practice quizzes Graded assignments Programming assignments Peer review Financial aid English medium Subtitles in English, Arabic, French, Portuguese (European), Italian, Vietnamese, German, Russian, Spanish Programme Offerings Digital Shareable Certificate Self-paced Course Flexible Deadlines 100% Online English medium English Subtitles financial aid Peer review videos practice quizzes Academic Readings Graded Assignments 3 Weeks Duration 18 Study Hours. Courses and Certificate Fees Certificate Availability Certificate Providing Authority yes Coursera
Robotics: Aerial Robotics Fee Structure -
Course Name
Fees
Certificate mode, 1 month
Rs. 6,634
Certificate mode, 3 months
Rs. 13,268
Certificate mode, 6 months
Rs. 19,903
What you will learn Robotic skills Knowledge of Artificial Intelligence Programming skills Mathematical skill
After completing Robotics: Aerial Robotics Training Course, you will gain insights into the following topics:
Unmanned Aerial Robotics (UAVs) Basic mechanics and control strategies of quadrotors Kinematics of quadrotors Steps to derive the dynamic equations for quadrotors Programming assignment on 1-D quadrotor control Ways to develop linear controllers for three-dimensional dynamic models of the quadrotor How to enable quadrotors to perform more agile maneuvers and to perform autonomous operations in teams Admission Details Given below are the steps given to enroll in Robotics: Aerial Robotics Training Course:
Step 1: Click on the URL given below -
https://www.coursera.org/learn/robotics-flight
Step 2: Click on the “Enroll for Free” option and click on the desired course.
Step 3: Fill in the required details and complete the process.
The Syllabus Videos Unmanned Aerial Vehicles Quadrotors Key Components of Autonomous Flight State Estimation Applications Meet the TAs Basic Mechanics Dynamics and 1-D Linear Control Design Considerations Design Considerations (continued) Agility and Maneuverability Component Selection Effects of Size Supplementary Material: Introduction Supplementary Material: Dynamical Systems Supplementary Material: Rates of Convergence Readings Setting up your Matlab programming environment Matlab Tutorials - Introduction to the Matlab Environment Matlab Tutorials - Programming Basics Matlab Tutorials - Advanced Tools Videos Transformations Rotations Euler Angles Axis/Angle Representations for Rotations Angular Velocity Supplementary Material: Rigid-Body Displacements Supplementary Material: Properties of Functions Supplementary Material: Symbolic Calculations in Matlab Supplementary Material: The atan2 Function Supplementary Material: Eigenvalues and Eigenvectors of Matrices Supplementary Material: Quaternions Supplementary Material: Matrix Derivative Supplementary Material: Skew-Symmetric Matrices and the Hat Operator Formulation Newton-Euler Equations Principal Axes and Principal Moments of Inertia Quadrotor Equations of Motion Supplementary Material: State-Space Form Supplementary Material: Getting Started With the First Programming Assignment Programming Assignment Videos 2-D Quadrotor Control 3-D Quadrotor Control Time, Motion, and Trajectories Time, Motion, and Trajectories (continued) Motion Planning for Quadrotors Supplementary Material: Minimum Velocity Trajectories from the Euler-Lagrange Equations Supplementary Material: Solving for Coefficients of Minimum Jerk Trajectories Supplementary Material: Minimum Velocity Trajectories Supplementary Material: Linearization of Quadrotor Equations of Motion Programming Assignment Videos Sensing and Estimation Nonlinear Control Control of Multiple Robots Adjourn Supplementary Material: Introduction to the Motion Capture System by Matthew Turpin Programming Assignment