Robotics Software Engineer

BY
Udacity

Excel in key Robotics Software Engineering concepts such as Navigation, Mapping, ROS, Gazebo, and Path planning to excel on industrial Robotics programmes.

Lavel

Expert

Mode

Online

Duration

81 Hours

Quick Facts

particular details
Medium of instructions English
Mode of learning Self study, Virtual Classroom
Mode of Delivery Video Based

Course overview

The recent supply of professionals with advanced robotics acumen has a lot of catching up to do to the corresponding demand. Thus, an upskill program in this field is very likely to reap immense professional rewards. As a result of this discovery, the Nanodegree program in Robotics Software Engineering is a power-packed, focused engagement that ticks off all the boxes of an aspiring professional in this field.

The Robotics Software Engineer Nanodegree program revolves around 5 uniquely curated, industrial robotics projects that test the burning consulting assignments of this industry. Moreover, the curriculum design is such that it addresses the very grass-root level of details and the round of questioning that ensues in job interviews thereafter. This makes this program very well-rounded from a ROI perspective as well.

Past trends indicate that this program can be finished in 4 months by putting in 12 to 15 hours of work per week. Please consider the Introduction to Self-driven Cars program, if you feel you have limited background in comparison to what is required as a prerequisite for this course. It will provide you with a basic framework upon which you could extract the most out of this program.

The highlights

  • 4 months program
  • 10 hours each week
  • Personalized feedback
  • Real-life projects
  • Reliable technical support
  • Career assistance
  • Offer letter negotiation

Program offerings

  • Flexible curriculum
  • Mentor support
  • Industrial projects
  • P2p learning
  • Linkedin review
  • Career coach
  • Interview preparation
  • Expert project feedback.

Course and certificate fees

The fee for Robotics Software Engineer is summarized as follows:

Fees componentsAmount
All Access monthly
Rs. 20,500 /month
All Access bundle
Rs. 17,425 /month
Robotics Software Engineer
Rs. 78,131 /one-time payment


certificate availability

Yes

certificate providing authority

Udacity

Who it is for

The Robotics Software Engineer Nanodegree program is recommended to professionals who want to enter afresh into the quickly emerging field of Robotics or advance their careers. Candidates with the following skill-sets will benefit the most from this Nanodegree program:

  • Average understanding of high-school Probability concepts
  • Familiarity with Linear Algebra
  • Working knowledge of an Object Oriented Programming such as C++
  • Calculus and its application from grade-12 perspective
  • Implementation of Linux command lines

Eligibility criteria

Work experience

No work experience is needed for this course.

Education

Familiarity with an Object Oriented Programming language such as C++ is recommended. Moreover, an understanding of linear algebra and calculus is also desired.

Certification qualifying details

To earn the Nanodegree, all 5 modules need to be cleared by the candidates. The module project submissions will be adjudicated by the faculty. In case it is not cleared, exhaustive feedback will be provided and the candidate will have to re-attempt the project.

What you will learn

Robotic skills

The following subjects are covered as part of the Robotics Software Engineer Nanodegree program:

  • Utilization of Gazebo to demonstrate your robotic environment as it is one of the most versatile simulation engines in the world
  • Get equipped with a flexible and coherent software environment with the aid of ROS. This helps in designing modular robots
  • Moreover, incorporate pre-defined ROS packages in your application in addition to creating ROS nodes indigenously in C++
  • Put the knowledge of the Gaussian filters to work while estimating unclear sensor outputs, as well as approximating the robot’s position on a map with Monte Carlo Localization, aka MC
  • Equip yourself with SLAM (Simultaneous Localization and Mapping) implementation with the help of mapping algorithms principles learnt in the localization module
  • Develop a strong foundation of Path Planning and Navigation algorithms. Also, a combination of SLAM and navigation will help you succeed on a home automation robotic application as an exciting project!

The syllabus

Course 1: Introduction to Robotics

Welcome
  • In this first lesson, you'll meet your instructors, learn about the structure of this program, and see the services available to you as a student.
What is a Robot?
  • Learn the essential element of robotics.
Getting Help
  • You are starting a challenging but rewarding journey! Take 5 minutes to read how to get help with projects and content 
Get Help with Your Account
  • What to do if you have questions about your account or general questions about the program.
Getting Started
  • Get started by exploring the Udacity Workspace, optionally installing a Virtual Machine, and learning prep materials to help you succeed in this program.

Course 2: Gazebo World

Gazebo Basics
  • Learn how to simulate your first robot in Gazebo and interact with its world using a Plugin.

Course 3: ROS Essentials

Introduction to ROS
  • Obtain an architectural overview of the Robot Operating System Framework and setup your own ROS environment in the Udacity Workspace.
Packages & Catkin Workspaces
  • Learn about ROS workspace structure, essential command line utilities, and how to manage software packages within a project. Harnessing these will be key to building shippable software using ROS.
Write ROS Nodes
  • ROS Nodes are a key abstraction that allows a robot system to be built modularly. In this lesson, you'll learn how to write them using C++.

Course 4: Localization

Introduction to Localization
  • Introduction to the localization concept and the algorithms
Kalman Filters

Learn the Kalman Filter and Extended Kalman Filter Gaussian estimation algorithms.

Lab: Kalman Filters
  • Learn how to apply an EKF ROS package to a robot to estimate its pose.
Monte Carlo Localization
  • Learn the Monte Carlo Localization algorithm which uses particle filters to estimate a robot's pose.
Build MCL in C++
  • Learn how to code the Monte Carlo Localization algorithm in C++.

Course 5: Mapping and SLAM

Introduction to Mapping and SLAM
  • Introduction to the Mapping and SLAM concepts, as well as the algorithms.
Occupancy Grid Mapping
  • Learn how to map an environment with the Occupancy Grid Mapping algorithm.
Grid-based FastSLAM
  • Learn how to simultaneously map an environment and localize a robot relative to the map with the Grid-based FastSLAM algorithm.
GraphSLAM
  • Learn how to simultaneously map an environment and localize a robot relative to the map with the GraphSLAM algorithm.

Course 6: Path Planning and Navigation

Intro to Path Planning and Navigation
  • Learn what the lessons in Path Planning and Navigation will cover.
Classic Path Planning
  • Learn a number of classic path planning approaches that can be applied to low-dimensional robotic systems.
Lab: Path Planning
  • Learn to code the BFS and A* algorithms in C++.
Sample-Based and Probabilistic Path Planning
  • Learn about sample-based and probabilistic path planning and how they can improve on the classic approach.

Course 7: Optional KUKA Path Planning Project Optional

Project Introduction
  • Plan a path through a maze for an industrial Kuka Manipulator Arm, then watch your code run on real hardware!
Project Details
  • Helpful instruction to help you get started with the project

Admission details

The following section summarizes the enrolment steps for this Nanodegree program:

  • Enrolment
    The free trial can be begun from the home page of the program. A sign-in from Google or Facebook is the preferred and fast way to move forward. On the other hand, for first-time users, there is a generic provision of signing up upon providing with basic personal details such as Name, Email address, and a suitable password 

  • Payment
    The total tuition for this Nanodegree program is $1356 USD. To begin with, the standard 4-month access comes bundled in this scope. Also, please note that this amount will be debited after the free trial is exhausted. The trial lasts 7 days. Post the 4-month period, the course costs $399 USD per month. However, this is only applicable for those who are left with 1 or more modules to clear when the originally designated time runs out.

  • LMS
    The Learning Management System’s view access is granted as soon as the payment is done. Thus, the student can begin their learning experience.


Filling the form

The above section illustrates all the relevant aspects associated with the enrolment process of this program.

Evaluation process

The assignment at the end of each module needs to be cleared by the participants in order to unlock the access to the subsequent module.

How it helps

The main benefits for this Nanodegree program comprise of the following elements::

  • The first principles of this course have resulted from an exhaustive primary research initiative with reputed global businesses in this space. Also, the line of learning and the subjects that have been included in the pedagogy is in complete sync with the technical skills that the recruiters are aspiring to hire.
  • Industry-grade case studies and use-cases form the Unique Selling Proposal for this pristine Nanodegree program. The 5 modules present a priceless learning experience that derives its conception from industry veterans. This ensures that the participants are fully abreast with the aspects that matter in this field to the depth that makes them a Subject Matter Expert.
  • We understand that our prospective students might have other full-time professional and/or personal commitments to honour. Moreover, as this an engineering-heavy program, relevant arrangements have been put in place for a self-paced learning environment to come into effect.

Instructors

Mr Sebastian Thrun
President
Udacity

Mr David Silver

Mr David Silver
Lead
Udacity

Other Bachelors, MBA

Mr Karim Chamaa

Mr Karim Chamaa
Instructor
Freelancer

B.E /B.Tech, Other Masters

Ms Julia Chernushevich

Ms Julia Chernushevich
Instructor
Freelancer

FAQs

Is the start date decided for this course yet?

Since this is an LMS-based program, the participants get access to the courseware as soon as the payment is received.

What is the duration of this course?

The normal duration is 4 months. With 12 to 15 hours of study per week, the program can be finished in the said duration. However, should you not be able to clear the projects for all the 5 modules, you will have the option to either quit the course at no extra cost or continue by paying the requisite monthly fee.

Is there a selection criteria?

This program can be accessed through an open application. It does not have a selection criteria. Thus, if the subject matter being covered makes sense to you, please proceed with your enrolment.

Are students provided with technical support during this program?

Yes, there are dedicated, experienced personnel to cater to any technical query you may face. They are available on all business days during standard working hours.

What support is imparted in terms of employment generation?

The Nanodegree program prides itself on incorporating one on one telephonic interview mocks as well as premium networking events which will help our students be in sync with the latest developments in this field.

What are common job descriptions that arise after graduating from this course?

They include implementing pick and place robots in heavy manufacturing, surgical robot design for a healthcare company, light package delivery robots, rescue robots, and robots for space missions.

Does this program have a demo?

Please visit the top of the home-page of the program to access the preview.

What are the recommended software for this program?

You need a laptop or desktop and Internet connection. The GPU-enabled Linux workspace will be provided to you by us. This is where you will code using C++. A virtual machine integration of a Linux image can also be arranged for.

Similar Courses

Multi Object Tracking for Automotive Systems

Chalmers University of Technology, Gothenburg via Edx

10 Weeks Online
Expert
Free

Courses of your Interest

Learn Automation Testing

Learn Automation Testing

GroTechMinds

80 Hours Online
Expert
₹18,000 ₹22,000
TOGAF 9 Combined Level 1 and Level 2 Training

TOGAF 9 Combined Level 1 and Level 2 Training

SkillUp Online via Simplilearn

8 Hours Online
Expert
Free
Advanced Certificate Program in DevOps

Advanced Certificate Program in DevOps

CMU School of Computer Science, Pitts... via TalentSprint

6 Months Online
Expert
₹ 240,000
Mastering Deep Learning Using Apache Spark

Mastering Deep Learning Using Apache Spark

Simpliv Learning

Online
Expert
$149 $749
Devops with AWS CodePipeline Jenkins and AWS CodeD...

Devops with AWS CodePipeline Jenkins and AWS CodeD...

Simpliv Learning

Online
Expert
$199 $999
Machine Learning with Python from Linear Models to...

Machine Learning with Python from Linear Models to...

MIT Cambridge via Edx

15 Weeks Online
Expert
Free
Big Data Capstone Project

Big Data Capstone Project

The University of Adelaide, Adelaide via Edx

6 Weeks Online
Expert
Free
Computer Applications of Artificial Intelligence a...

Computer Applications of Artificial Intelligence a...

Purdue University, West Lafayette via Edx

5 Weeks Online
Expert
Free

More Courses by Udacity

Introduction to Data Science

Udacity

1 Week Online
Expert
₹ 82,000

Machine Learning Devops Engineer

Udacity

63 Hours Online
Expert

Ethical Hacker

Udacity

37 Months Online
Expert

Data Architect

Udacity

73 Hours Online
Expert
Artificial Intelligence

Artificial Intelligence

Udacity

40 Hours Online
Expert
Deep Reinforcement Learning

Deep Reinforcement Learning

Udacity

4 Months Online
Expert
Data Streaming

Data Streaming

Udacity

2 Months Online
Expert
Natural Language Processing

Natural Language Processing

Udacity

3 Months Online
Expert
₹ 20,500
Computer Vision Expert

Computer Vision Expert

Udacity

3 Months Online
Expert
Sensor Fusion Engineer

Sensor Fusion Engineer

Udacity

63 Hours Online
Expert

Trending Courses

Popular Courses

Popular Platforms

Learn more about the Courses