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學生對 宾夕法尼亚大学 提供的 Robotics: Capstone 的評價和反饋

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106 個評分

課程概述

In our 6 week Robotics Capstone, we will give you a chance to implement a solution for a real world problem based on the content you learnt from the courses in your robotics specialization. It will also give you a chance to use mathematical and programming methods that researchers use in robotics labs. You will choose from two tracks - In the simulation track, you will use Matlab to simulate a mobile inverted pendulum or MIP. The material required for this capstone track is based on courses in mobility, aerial robotics, and estimation. In the hardware track you will need to purchase and assemble a rover kit, a raspberry pi, a pi camera, and IMU to allow your rover to navigate autonomously through your own environment Hands-on programming experience will demonstrate that you have acquired the foundations of robot movement, planning, and perception, and that you are able to translate them to a variety of practical applications in real world problems. Completion of the capstone will better prepare you to enter the field of Robotics as well as an expansive and growing number of other career paths where robots are changing the landscape of nearly every industry. Please refer to the syllabus below for a week by week breakdown of each track. Week 1 Introduction MIP Track: Using MATLAB for Dynamic Simulations AR Track: Dijkstra's and Purchasing the Kit Quiz: A1.2 Integrating an ODE with MATLAB Programming Assignment: B1.3 Dijkstra's Algorithm in Python Week 2 MIP Track: PD Control for Second-Order Systems AR Track: Assembling the Rover Quiz: A2.2 PD Tracking Quiz: B2.10 Demonstrating your Completed Rover Week 3 MIP Track: Using an EKF to get scalar orientation from an IMU AR Track: Calibration Quiz: A3.2 EKF for Scalar Attitude Estimation Quiz: B3.8 Calibration Week 4 MIP Track: Modeling a Mobile Inverted Pendulum (MIP) AR Track: Designing a Controller for the Rover Quiz: A4.2 Dynamical simulation of a MIP Peer Graded Assignment: B4.2 Programming a Tag Following Algorithm Week 5 MIP Track: Local linearization of a MIP and linearized control AR Track: An Extended Kalman Filter for State Estimation Quiz: A5.2 Balancing Control of a MIP Peer Graded Assignment: B5.2 An Extended Kalman Filter for State Estimation Week 6 MIP Track: Feedback motion planning for the MIP AR Track: Integration Quiz: A6.2 Noise-Robust Control and Planning for the MIP Peer Graded Assignment: B6.2 Completing your Autonomous Rover...

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CP

2016年9月24日

The capstone is really good.

Too bad it means the end of this specialization... I liked it here.

But it is also the beginning of playing more with ROS, simulation tools and real robots.

AK

2017年10月9日

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

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1 - Robotics: Capstone 的 25 個評論(共 25 個)

創建者 Ng B K

2016年8月6日

創建者 Abhijeet P

2020年2月2日

創建者 Lokesh B

2018年11月29日

創建者 Abhiram S

2019年5月13日

創建者 Joaquin R

2018年11月4日

創建者 Guillermo C

2017年12月18日

創建者 David A

2021年4月9日

創建者 Enrico A

2017年8月8日

創建者 Ramachandran S

2017年6月13日

創建者 Erick A M D

2021年3月11日

創建者 Abhilash

2017年5月24日

創建者 Cédric P

2016年9月24日

創建者 Niju M N

2016年12月7日

創建者 Ran C

2017年1月25日

創建者 nrraajan n

2020年5月31日

創建者 Fabio B

2017年8月21日

創建者 Adi S

2019年12月4日

創建者 Luis A D R

2019年3月22日

創建者 Anoop S

2016年6月29日

創建者 陈鹏

2017年3月10日

創建者 Eduardo K d S

2017年1月19日

創建者 Hussain M A

2020年3月24日

創建者 Vu N M

2018年9月25日

創建者 Rishabh B

2017年1月21日

創建者 Wahyu G

2020年3月13日