Robotics Engineering

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Robotics Engineering

Courses Available:

1. PGD Robotics Engineering
Completion: 12 Months (3 semesters)
Certificate: Issued by Highstone International University USA.

2. Certificate Robotics Engineering
Completion: 4 Months -max
Certificate: Jointly issued by Nhames & HIU USA.

Welcome to our Robotics engineering training program!

As technology continues to advance at a rapid pace, the fields of artificial intelligence and robotics are becoming increasingly important in shaping our future. In this training program, you will gain a comprehensive understanding of the fundamental principles of AI and robotics, and develop the skills necessary to design and implement intelligent systems and robots.

Throughout the course, you will be guided by experienced trainers who are experts in the field. They will provide you with hands-on training, practical assignments, and real-world examples, allowing you to apply your knowledge and skills to real-world problems.

More on Robotics and Artificial Intelligence

What is Robotics and AI

Robotics & AI are related but could be classified into separate entity.
Robotics involves the creation of robots to perform tasks with or without further intervention, while AI is how systems emulate the human mind to make decisions and ‘learn.

Robotics is a branch of engineering that is focused on the design, development, and implementation of robots, which is referred to as an autonomous or semi-autonomous machines meant to replicate human effort. Robotics combines computer science with mechanical and electrical engineering to accomplish a variety of tasks.
Robotics engineering entails the design of neural networks and algorithms that program robots, product development and testing.

In simple terms, machine learning and artificial intelligence provides vision, grasping and motion control which make them work on unseen data and situations.

About this Course

The Robotics Engineering course leads to Postgraduate-Diploma and it is a comprehensive program designed to equip students with the necessary skills and knowledge to become proficient in the field of robotics and artificial intelligence. The course covers a wide range of topics, including robotics, AI, programming, computer vision, control systems, sensors and others.

The course is suitable for both beginners and experienced professionals who are interested in learning about the latest advancements in robotics and AI. The curriculum is structured in a way that allows students to progress from basic concepts to advanced topics in a step-by-step manner.

One of the key benefits of this course is its hands-on approach to learning. Students will have the opportunity to work on real-world projects, which will help them gain practical experience in designing, building, and programming robots. They will also learn how to integrate sensors and other technologies to enhance the capabilities of their robots.

Throughout the course, students will be taught by experienced instructors who are experts in the field of robotics and AI. They will have access to a wide range of resources.

The Robotics & AI Engineering course is an excellent choice for anyone who is interested in pursuing a career in robotics and artificial intelligence. With its comprehensive curriculum, hands-on approach to learning, and experienced instructors, it provides students with the knowledge and skills they need to succeed in this exciting field.

Pre-requisite

Anyone with determination and good science & computer background can attend this course But the following will be an added advantage..

Graduates of Engineering, computer science & other sciences especially Physics
Computer and Science enthusiast
Knowledge of matrix algebra and mathematics

You will be able to

Plan and prepare for robotic projects
Design a robot with an optimal workspace
Implement your robotic project with the best materials
Model a robot to sufficient precision
Implement and tune a robot motion controller that exposes desired behavior
Implement and tune a compliant robot motion/force controller that exposes desired behavior
Implement and tune a vision-based robot motion controller that is robust to noise
Assess limitations of traditional, model-based approaches, visualize these failure cases, and propose an approach on how they can be addressed (as assessed by bonus exercises in homework assignments)

Curriculum

One Year Curriculum Postgraduate diploma	Certificate Course Curriculum	Electives
1st Semester -4 months	Max of 4 Months duration	State estimation & Filtering for Robotics
Introduction to Robotics Engineering	Introduction to Robotics Engineering	Kinematics & Mathematical foundation
Fundamentals of Electronics	Robot Kinematics and Dynamics	Material science
Robot Kinematics and Dynamics	Introduction to Mechatronics	Robot Ethics and Policies
Robot Control Systems	sensors 1 & 2	Human Robot Interaction
Sensors and Perception for Robotics	Robot Modelling & Control	Vision Intelligence & Machine Learning
Robot Path Planning and Navigation	Control Software – 1 & 2	Introduction to Mechatronics
Robot Manipulation and Grasping	Machine Labs
Machine Labs	Kinematics – 1 & 2
2nd Semester	1 Elective
Robot Localization and Mapping	Term Papers & Test
Robot Vision and Image Processing	Final Project
Machine Learning for Robotics
Robot Ethics and Social Implications
Robot Swarm Systems
Robot Simulation and Virtual Reality
Robot Design & Prototyping
3rd Semester
Computed Torque Control
3D Machines & Printing
Project Management
Robotic Operating System (ROS)
Circuit systems & Machine labs
SolidWorks & Cura software
STUDENT FINAL PROJECT

Career Scope

Some potential job opportunities in this field include but not limited to the following.

Robotics Engineer
Industrial Engineer
Robotics Programmer
Robotics Systems Controller
Robotics Testing Technician
Robotics Quality Assurance Technician
Healthcare Robotics Engineer
Aerospace Engineer

Training Mode

Hybrid Training.

Hybrid Training consists of both online and physical (face-to-face) Training

Online Training 75%
Physical 25%

Industry Projects

As its name suggests, autopilot means that the drone will be handled by itself, while controlling action of the drone will be handled by a flight controller that has built-in sensors to balance the drone.

The programmable robotic arm finds extensive applications in its use in extreme conditions like space missions or underwater expeditions. The movement of parts is done by servo

An obstacle-avoiding robot is a fully autonomous robot that is able to avoid any obstacle which it faces when it moves. Simply, when it meets an obstacle while it is moving forward,

In this final capstone project, you will combine all of the new skills you’ve learned and developed in this course to construct an approved robot. Using a 3D printer is highly recommended.

APPLY FOR SCHOLARSHIP

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You can secure up to 75% scholarship if you satisfy most of the conditions below:

Must be Academically sound (2.1 or better)
Must be Super Creative
Have a great Idea that can turn to MVP
Have a great Minimum Viable Product
Proofs, you can’t afford the fees

Click the button below to Apply

Apply Now >>

PAY AS YOU GO

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N200,000.00/month

1 Month Access on the go
Pause program at will
Apply for scholarship

ONE TIME TUITION FEE

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N1,750,000.00

Enroll Now -->

12 Months (3 semester)Full Access
Save an extra 15% vs. pay as you go
Pay online and save extra %
Online course work
Physical class for Practical & Projects
Final Capstone Project

Robotics Engineering