logo
Login

Mobile Sensing and Robotics | Bonn University Course

Bonn University

Comprehensive course on mobile sensing and robotics, covering sensor technologies, localization, mapping, and navigation. Hands-on demonstrations and practical exercises.

University CoursesRobotics

Introduction

This course provides an introduction to mobile sensing and robotics, covering topics such as sensor technologies, localization, mapping, and navigation. The lectures are delivered by professors from the University of Bonn.

screenshot

Highlights

  • Comprehensive coverage of mobile sensing and robotics concepts
  • Hands-on demonstrations and practical exercises
  • Insights from experienced researchers and practitioners
  • Access to the full lecture series on YouTube

Recommendation

This course is suitable for students, researchers, and professionals interested in the field of mobile sensing and robotics. It offers a solid foundation for understanding the core principles and applications of these technologies.

YouTube Videos

How GetVM Works

Learn by Doing from Your Browser Sidebar

Access from Browser Sidebar

Access from Browser Sidebar

Simply install the browser extension and click to launch GetVM directly from your sidebar.

Select Your Playground

Select Your Playground

Choose your OS, IDE, or app from our playground library and launch it instantly.

Learn and Practice Side-by-Side

Learn and Practice Side-by-Side

Practice within the VM while following tutorials or videos side-by-side. Save your work with Pro for easy continuity.

Explore Similar Hands-on Tutorials

Artificial Intelligence for Robotics | MOOC - Udacity

0
University CoursesArtificial IntelligenceRobotics
Learn the fundamentals of AI and its applications in robotics through hands-on projects and expert-led instruction from Udacity.

Introduction to Feedback Control Systems | CMU 16-299 | Spring 2022

0
University CoursesControl TheoryRobotics
Explore the fundamentals of feedback control systems with intuitive concepts and hands-on lab components in this course by Chris Atkeson at Carnegie Mellon University.

Robot Dynamics | Advanced Robotics Course - CMU

0
University CoursesControl SystemsRobotics
Explore the fundamental principles and techniques of robot dynamics, including kinematics, kinetics, and control. Gain hands-on experience with practical examples and case studies.

Optimal Control Theory | Carnegie Mellon University

0
University CoursesControl SystemsRobotics
Comprehensive overview of optimal control theory, covering continuous-time and discrete-time systems. Hands-on exercises and insights from experienced CMU instructors.

Model Predictive Control Course | EPFL Engineering

0
University CoursesControl SystemsRobotics
Comprehensive course on the fundamentals of model predictive control (MPC), taught by a leading expert at EPFL. Hands-on exercises and industry-standard software.

Autonomous Vehicle System Engineering | UIUC CS 588 by David Forsyth

0
University CoursesComputer VisionDeep LearningRobotics
Comprehensive course on autonomous vehicle design, covering deep learning, computer vision, and control theory. Hands-on projects and simulations for practical experience.

Network Systems, Dynamics & Control | UC Santa Barbara ME 269

0
University CoursesControl TheoryRobotics
Comprehensive lectures on network systems, dynamics, and control by Professor Francesco Bullo at UC Santa Barbara. Suitable for students and professionals in engineering, math, and computer science.

Networked Control Systems | EPFL ME 427 | Giancarlo Ferrari Trecate

0
University CoursesControl SystemsRobotics
Explore the fundamentals of networked control systems, including network protocols, time-delay compensation, and stability analysis. Taught by an expert in the field.

Multivariable Control | EPFL ME 422 | Giancarlo Ferrari Trecate

0
University CoursesControl TheoryRobotics
Explore the fundamentals of multivariable control systems, including state-space modeling, stability analysis, and optimal control design, taught by Professor Giancarlo Ferrari Trecate at EPFL.