Emerging Technologies
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Path Planning & Trajectory Optimization Using C++ & ROS

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Course Features

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Duration

12 weeks

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Delivery Method

Online

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Available on

Lifetime Access

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Accessibility

Desktop, Laptop

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Language

English

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Subtitles

English

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Level

Intermediate

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Teaching Type

Self Paced

Course Description

A vehicle that is autonomous on the road can be considered to be independent. It must be aware of all obstacles and make decisions.

Path Planning and Trajectory Optimization are about analyzing the path. Let's suppose that the car is traveling on the road and must reach the destination. Autonomous vehicles can use path planning to determine the best route to get from one place to the next. The Trajectory Optimization, on the other side, estimates the speed at which the vehicle must travel to reach its destination.

Robotics is one of the most important applications of this topic. Robots are often required to move objects from one place to the next. Path planning and trajectory optimization assist the robot in this task.

This gives us an insight into how crucial it is to know the basics of trajectory optimisation and path planning when designing robots of any type. We have created a course on trajectory optimisation and path planning to help you explore the possibilities of robot movement.

Each week, the course is broken down into 12 weeks. Each week includes practical sessions, followed by a challenge at the end. These practical sessions and challenges were created to help students put their learning into practice. Students will also be required to complete 2 projects that allow them to apply the skills they have learned.

Careervira Take

This 3-month course, proffered by Skill-Lync, introduces learners to path planning and trajectory optimization techniques implemented in autonomous vehicles. It is designed for ECE, mechanical engineering, or EEE graduates and people who want to gain insights into robot motion planning(theoretically and practically) and explore new career opportunities. The prerequisite to enrol is that students must have a basic understanding of programming in C++/Python, linear algebra. They learn skills like Motion Planning, Robotics, C++, and Autonomous. After finishing all the modules, students find a job in manufacturing plants, medical establishments, laboratories. Its USP is a CapStone project and job assistance.

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Course Credibility

Skill Lync and industry specialists offer interdisciplinary and job-oriented programs to fill the ever-increa...
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Pedagogy

This 3-month intermediate course is divided into 12 weeks, with practical sessions each week and challenges f...
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Hands-on training

This specialized course introduces various software and tools helpful in tackling real-life situations, inclu...
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Career impact

With this course, learners can start a career in motion planning and robotic operating systems. Working in th...
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Pricing

The course fee payment is available through subscription plans for ₹30,000 per month for ten months and gives...
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Assessment

The program's curriculum incorporates the evaluations to ensure that all learners are engaged throughout the ...

Course Overview

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Job Assistance

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Post Course Interactions

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Hands-On Training,Instructor-Moderated Discussions

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Case Studies, Captstone Projects

Skills You Will Gain

Prerequisites/Requirements

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Engineering Students/Engineering Graduates

What You Will Learn

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Detection of collision and prediction of motion

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Planning on hierarchical lines while making autonomous robots

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The different steps involved in trajectory planning

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Algorithms that help in path planning

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The typical machine learning methods which are used in robotic path planning

Target Students

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The course is designed for people who want to gain insights into robot motion planning(theoretically and practically) and find new career opportunities in it

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The course assumes that students have a basic understanding of programming in C++/Python, mathematical concepts of linear algebra

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