Informações sobre o curso
4.5
62 classificações
18 avaliações
Programa de cursos integrados
100% online

100% online

Comece imediatamente e aprenda em seu próprio cronograma.
Prazos flexíveis

Prazos flexíveis

Redefinir os prazos de acordo com sua programação.
Horas para completar

Aprox. 17 horas para completar

Sugerido: 6 weeks of study, 2-4 hours/week...
Idiomas disponíveis

Inglês

Legendas: Inglês

Habilidades que você terá

Python ProgrammingRoboticsRaspberry PiMatlab
Programa de cursos integrados
100% online

100% online

Comece imediatamente e aprenda em seu próprio cronograma.
Prazos flexíveis

Prazos flexíveis

Redefinir os prazos de acordo com sua programação.
Horas para completar

Aprox. 17 horas para completar

Sugerido: 6 weeks of study, 2-4 hours/week...
Idiomas disponíveis

Inglês

Legendas: Inglês

Programa - O que você aprenderá com este curso

Semana
1
Horas para completar
4 horas para concluir

Week 1

Welcome to Robotics Capstone! This week you will choose between two tracks available to you for your capstone. Please make sure you watch the videos carefully to make the choice. In the MIP track, you will learn how to use MATLAB (your numerical tool for this capstone track) to simulate dynamical systems numerically.In the AR track, you will learn to use the rover simulator, purchase the kit and implement Dijkstra's algorithm in python....
Reading
5 vídeos (total de (Total 29 mín.) min), 2 leituras, 1 teste
Video5 videos
Introduction to the Mobile Inverted Pendulum (MIP) Track4min
Introduction to the Autonomous Rover (AR) Track10min
A1.1 Using MATLAB for Dynamic Simulations4min
(Review) Dijkstra's Algorithm4min
Reading2 leituras
B1.1 Purchasing the Robot Kit10min
B1.2 The Rover Simulator20min
Quiz1 exercício prático
A1.2 Integrating an ODE with MATLAB30min
Semana
2
Horas para completar
2 horas para concluir

Week 2

In the MIP track, you will learn a simple control idea that can provably stabilize linear systems: PD control. You will work on some MATLAB exercises that tune parameters for a PD controller in a simple double-integrator (a.k.a force-controlled) system, and also apply this idea to a nonlinear system, a two-DOF manipulator arm. In the AR track, you will assemble your robot, which includes soldering, assembly and flashing your SD card. You will then perform a basic routine to allow the robot to move at a set velocity....
Reading
6 vídeos (total de (Total 30 mín.) min), 7 leituras, 1 teste
Video6 videos
(Review) PD Control for a Point Particle in Space5min
A2.1 PD Control for Second-Order Systems6min
(Review) Infinitesimal Kinematics; RR Arm3min
B2.1 Building the Autonomous Rover (AR)1min
B2.6 Connecting to the Pi2min
Reading7 leituras
B2.2 Soldering tips10min
B2.3 Soldering the Motor Hat and IMU20min
B2.4 Flashing your Raspberry Pi SD Card10min
B2.5 Assembling the Robot40min
B2.7 Expanding the SD Card Partition2min
B2.8 Remote Access to the Pi10min
B2.9 Controlling the Rover10min
Quiz1 exercício prático
A2.2 PD Trackingmin
Semana
3
Horas para completar
2 horas para concluir

Week 3

In the MIP track, you will learn how to interface with noisy and incomplete sensor data. We will use an extended Kalman filter (EKF): a model-based filtering scheme that optimally integrates incoming data with our current state belief. The particular example you will work on is estimating orientation from data recorded by a MEMS accelerometer/gyroscope. In the AR track, you will perform a set of crucial calibration steps that allow you to use the sensors and motor drivers onboard the rover. ...
Reading
7 vídeos (total de (Total 37 mín.) min), 3 leituras, 1 teste
Video7 videos
A3.1 Using an EKF to get Scalar Orientation from an IMU5min
B3.1 Calibration3min
B3.2 Camera Calibration3min
(Review) Rotations and Translations18min
B3.4 Camera to body calibration3min
B3.5 Introduction to Apriltags1min
Reading3 leituras
B3.3 Motor Calibration15min
B3.6 Printing your own AprilTags10min
B3.7 Optional: IMU Accelerometer Calibration10min
Quiz2 exercícios práticos
A3.2 EKF for Scalar Attitude Estimationmin
B3.8 Calibration8min
Semana
4
Horas para completar
2 horas para concluir

Week 4

In the MIP track, you will learn how to build a model of the mobile inverted pendulum using a Lagrangian formulation to get equations of motion. This will help you build a simulation of a physical MIP that you can test your control ideas on. In the AR track, you will learn to design a controller that allows the rover to move to any target position when given its pose. You will then use this controller to get the rover to follow an AprilTag that you hold....
Reading
4 vídeos (total de (Total 28 mín.) min), 1 teste
Video4 videos
A4.1 Modeling a Mobile Inverted Pendulum (MIP)2min
(Review) 2-D Quadrotor Control9min
B4.1 Designing a Controller for the Rover7min
Quiz1 exercício prático
A4.2 Dynamical simulation of a MIPmin
4.5
18 avaliaçõesChevron Right
Benefício de carreira

83%

consegui um benefício significativo de carreira com este curso

Melhores avaliações

por CPSep 25th 2016

The capstone is really good.\n\nToo bad it means the end of this specialization... I liked it here.\n\nBut it is also the beginning of playing more with ROS, simulation tools and real robots.

por AKOct 10th 2017

Enjoyed this challenging course! Thankyou coursera. This Specialization is great for learning concepts but it is not industry oriented. Overall had a great experience.

Instrutores

Avatar

Kostas Daniilidis

Professor of Computer and Information Science
School of Engineering and Applied Science
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Sid Deliwala

Director, Electrical and Systems Engineering Labs and Lecturer, Electrical and Systems Engineering
Department of Electrical and Systems Engineering

Sobre University of Pennsylvania

The University of Pennsylvania (commonly referred to as Penn) is a private university, located in Philadelphia, Pennsylvania, United States. A member of the Ivy League, Penn is the fourth-oldest institution of higher education in the United States, and considers itself to be the first university in the United States with both undergraduate and graduate studies. ...

Sobre o Programa de cursos integrados Robotics

The Introduction to Robotics Specialization introduces you to the concepts of robot flight and movement, how robots perceive their environment, and how they adjust their movements to avoid obstacles, navigate difficult terrains and accomplish complex tasks such as construction and disaster recovery. You will be exposed to real world examples of how robots have been applied in disaster situations, how they have made advances in human health care and what their future capabilities will be. The courses build towards a capstone in which you will learn how to program a robot to perform a variety of movements such as flying and grasping objects....
Robotics

Perguntas Frequentes – FAQ

  • Ao se inscrever para um Certificado, você terá acesso a todos os vídeos, testes e tarefas de programação (se aplicável). Tarefas avaliadas pelos colegas apenas podem ser enviadas e avaliadas após o início da sessão. Caso escolha explorar o curso sem adquiri-lo, talvez você não consiga acessar certas tarefas.

  • Quando você se inscreve no curso, tem acesso a todos os cursos na Especialização e pode obter um certificado quando concluir o trabalho. Seu Certificado eletrônico será adicionado à sua página de Participações e você poderá imprimi-lo ou adicioná-lo ao seu perfil no LinkedIn. Se quiser apenas ler e assistir o conteúdo do curso, você poderá frequentá-lo como ouvinte sem custo.

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