CS 8802, Artificial Intelligence for Robotics: Programming a Robotic Car
Udacity
60 Courses
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Overview
Unlock the world of autonomous vehicles with "CS 8802, Artificial Intelligence for Robotics: Programming a Robotic Car," brought to you by Stanford University in collaboration with Udacity. Immerse yourself in the cutting-edge realm of robotics technology under the guidance of industry pioneers from Google and Stanford's trailblazing autonomous driving initiatives. This comprehensive course dives deep into the critical systems powering robotic cars through a curriculum focused on cornerstone Artificial Intelligence techniques such as probabilistic reasoning, algorithmic planning, localization, tracking, and vehicle control. Designed specifically with autonomous vehicle development in mind, the modules combine theoretical knowledge with practical applications.
Integrated into the renowned Georgia Tech Masters in Computer Science program, this course concludes with an engaging final project that tasks students with harnessing their acquired skills to pursue a fictive runaway robot. The combination of extensive programming examples and assignments throughout the course aims at bridging the gap between abstract AI concepts and real-world applications in the rapidly evolving domain of self-driving technology.
Unique Course Features: Beyond providing a solid foundation in AI concepts critical for robotic vehicle programming, the course stands out by offering participants a chance to undertake a project that mirrors the challenges faced by professionals in the field of robotics.
To enroll, students should be proficient in programming and have a basic grasp of math concepts such as probability and linear algebra. While the course predominantly employs Python, individuals with a background in any programming language are encouraged to join, especially if they possess some understanding of object-oriented programming. A prior comprehension of probability and linear algebra, while beneficial, is not strictly necessary, as these topics are addressed alongside the coursework.
Spanning across categories such as Robotics, Python, and Engineering, this course exemplifies a thorough, interdisciplinary approach to learning, making it an exemplary choice for those fascinated by the engineering behind autonomous vehicles.
Categorized under: Robotics Courses, Python Courses, Engineering Courses.
Offered by: Stanford University and Udacity.