Path Planning & Trajectory Optimization Using C++ & ROS
Course Features
Duration
12 weeks
Delivery Method
Online
Available on
Lifetime Access
Accessibility
Desktop, Laptop
Language
English
Subtitles
English
Level
Intermediate
Teaching Type
Self Paced
Course Description
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.
Course Credibility
Pedagogy
Hands-on training
Career impact
Pricing
Assessment
Course Overview
Job Assistance
Post Course Interactions
Hands-On Training,Instructor-Moderated Discussions
Case Studies, Captstone Projects
Skills You Will Gain
Prerequisites/Requirements
Engineering Students/Engineering Graduates
What You Will Learn
Detection of collision and prediction of motion
Planning on hierarchical lines while making autonomous robots
The different steps involved in trajectory planning
Algorithms that help in path planning
The typical machine learning methods which are used in robotic path planning
Target Students
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
The course assumes that students have a basic understanding of programming in C++/Python, mathematical concepts of linear algebra