Robotics Specialization Course
12 Months
Online
⭐⭐⭐⭐⭐ (532)
Enquire No:
+65 96141525
Next Class Starts:
15-08-2022

2200+ Alumni Students Upto $4000 Stifend for R&D Projects 100% Online Live Training Sessions 105+ Hiring Partners Curriculum designed by Industry Experts
2200+ Alumni Students Upto $4000 Stifend for R&D Projects 100% Online Live Training Sessions 105+ Hiring Partners Curriculum designed by Industry Experts
Next class starts Aug 05
Course Overview
12-Month Course Duration
- 6 months of live and interactive sessions by Data Experts
- 6 months of research and development projects at Geeklurn AI Solution
320+ hours of Live Training Interactive Sessions by Data Scientists
Scholarships up to $4000 on the type of Research Project undertaken
100% Placement Assistance
Placement Opportunities with our partners after course completion
Why Robotics Specialization ?


The Robotics Specialization program by Geeklurn is the most efficient platform to start off your journey with Robotics. The entire syllabus is cleanly designed with the intention of generating curiosity and interest amongst freshers as well as experienced professionals.
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Robotics is all set to become the driving technology underpinning a whole new generation of autonomous devices and cognitive artefacts that, through their learning capabilities, interact seamlessly with the world around them, and hence, provide the missing link between the digital and physical world.
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With Geeklurn, you will not only master Robotics, but also understand how to use this knowledge as the key driver of competitiveness and flexibility in large scale manufacturing industries.
- Programming.
- Working in a Team.Â
- Solving Complex Problems.
- Thinking Creatively.
- Active Learning
- Operators
- Robotics Account Manager
- Robotics Engineer
- Software Developer
- Technician
Students Reviews

I was an absolute beginner. I just took the Geeklurn's Robotics specialization course to make my way into the world of Robotics. Within some days, I learnt the various tools and technical knowledge and I feel so confident now!

Robotics Specialization program is amazing. The curriculum was good and in-depth. The quality of the advisors was great. The lectures were all lively and I got the feel of learning. I am really glad to have taken this course.

I had a great learning experience with Geeklurn. The Robotics Specialization course has its concepts and related assessments very well put in place. The pace of the advisors was just perfect. I hope more students like me take up this course.

The Artificial Intelligence Specialist course by Geeklurn has just everything to get you placed in a Robotics company. The thing I liked the most about the course is that they have fantastic mentorship for every module with great explanations.
Instructors








Advisors








Syllabus
Lesson One: Introduction to Gazebo
Work with the Gazebo simulator to build new environments, and deploy assets.
Lesson One: Introduction to ROS
Obtain an architectural overview of the Robot Operating System Framework.
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Lesson Two :Packages & Catkin Workspaces
 Learn the ROS workspace structure, essential command line utilities, and how to manage software packages within a project.
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Lesson Three: Write ROS Nodes
Write ROS nodes in C++.
Lesson One: Introduction to Localization
Learn what it means to localize and the challenges behind it.
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Lesson Two: Kalman Filters
Learn the Kalman Filter and its importance in estimating noisy data.
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Lesson Three:Lab: Kalman Filters
Implement an Extended Kalman Filter package with ROS to estimate the position of a robot.
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Lesson Four:Monte Carlo Localization
Learn the MCL (Monte Carlo Localization) algorithm to localize robots.
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Lesson Five:Build MCL in C++
Code the MCL algorithm in C++
Lesson One:Introduction to Mapping and SLAM
Learn the Mapping and SLAM concepts, as well as the algorithms.
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Lesson Two: Occupancy Grid Mapping
Map an environment by coding the Occupancy Grid Mapping algorithm with C++.
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Lesson Three: Grid-based FastSLAM
- Simultaneously map an environment and localize a robot relative to the map with the Grid-based FastSLAM algorithm.
- Interface a turtlebot with a Grid-base
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Lesson Four: GraphSLAM
Simultaneously map an environment and localize a robot
relative to the map with the GraphSLAM algorithm.
Lesson One: Intro to Path Planning and Navigation
Learn what the lessons in Path Planning and Navigation will
cover.
Lesson Two: Classic Path Planning
Code the BFS and A* algorithms in C++.
Lesson Three: Lab: Path Planning
Code the BFS and A* algorithms in C++.
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Lesson Four: Sample-Based and Probabilistic Path Planning
Learn about sample-based and probabilistic path planning,
and how they can improve on the classic approach
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Lesson One: Project Introduction
Learn the requirements of the project.
Lesson Two: Project Details
Learn the project specifications and how to get started.
Projects
Course Features
Mentorship by Industry Experts
Professional guidance on courses related doubts from our industrial mentors.
Industrial Boost camps
Participate in hackathons, live research and development projects and online sessions.
Peer Networking
Exchange queries, project ideas, knowledge with our alumni, experts and your colleagues.
Placement Assistance
Get corporate guidance from our experienced mentors who help you get job-ready.
Course Fees
Online Training + Mentorship
$1000 USD
- 12-Month Course Duration
- 6 months of Live Training By Industry Experts
- 6 months of Research Project Experience Certificate
- 320+ hours of Live Training Interactive Sessions by Data Scientists
- Scholarships up to $4000 on the type of Research Project undertaken
- Placement Opportunities with our partners after course completion
- 100% Placement Assistance
Apply Now
Frequently Asked Questions
A robot which by overall appearance is just a Human body is known as a Humanoid robot. A Humanoid robot can have human facial expressions with features. There are two types of the Humanoid robot to resemble as male and female types:
- Android Humanoid: They are built to resemble a male body.
- Gynoids Humanoid: They are built to resemble a female body.
A humanoid robot is entirely an automated robot which can interact with Humans and also can react as per the surroundings.
Power supply, Actuators, Electric motors (DC/AC), Sensors and Controller are the major components in any robot.
We have a 24x7 LMS access for all our live online classes.
Students have the leverage to buy courses using credit card EMI.
We offer a six months internship for every course after the live training sessions for the first six months. During the course of the internship, you will be exposed to industry knowledge, corporate sector, research and development and hands-on practical experience by our experts.