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9.0/10 (Our Score)
Product is rated as #15 in category Artificial Intelligence

We think of Robotics as the science of building devices that physically interact with their environment. The most useful robots do it precisely, powerfully, repeatedly, tirelessly, fast, or some combinations of these. The most interesting robots maybe even do it intelligently. This course will cover the fundamentals of robotics, focusing on both the mind and the body. We will learn about two core robot classes: kinematic chains (robot arms) and mobile bases. For both robot types, we will introduce methods to reason about 3–dimensional space and relationships between coordinate frames. For robot arms, we will use these to model the task of delivering a payload to a specified location. For mobile robots, we will introduce concepts for autonomous navigation in the presence of obstacles. Class projects will make use of ROS – the open–source Robot Operating System (www.ros.org) widely used in both research and industry. Computer requirements for working on the projects will include a computer set up with Ubuntu Linux and high bandwidth internet access for downloading and installing ROS packages.

Instructor Details

Matei Ciocarlie is an Assistant Professor in the Mechanical Engineering department at Columbia University. Matei completed his Ph.D. at Columbia University in New York. His doctoral dissertation, focused on reducing the computational complexity associated with dexterous robotic grasping, was the winner of the 2010 Robotdalen Scientific Award. Before joining the Mechanical Engineering faculty at Columbia, Matei was a Research Scientist and then Group Manager at Willow Garage, Inc., and then a Senior Research Scientist at Google, Inc. In recognition of his work, Matei was awarded the 2013 IEEE Robotics and Automation Society Early Career Award, a 2015 Young Investigator Award by the Office of Naval Research, a 2016 CAREER Award by the National Science Foundation, and a 2016 Sloan Fellowship. Matei main interest is in reliable robotic performance in unstructured, human environments, focusing on areas such as novel robotic hand designs and control, autonomous and Human-in-the-Loop mobile manipulation, shared autonomy, teleoperation, and assistive robotics. He is also interested in novel hand designs that combine mechanical and computational intelligence, and make use or tactile, proprioceptive or range sensing in novel ways.

Specification: Robotics

Duration

90 hours

Year

2020

Level

Expert

Certificate

Yes

Quizzes

No

7 reviews for Robotics

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    Anonymous

    Pretty good course. I did not finish it because it overlapped a lot with the first version that Sebastian Thrun did together with Peter Norvig. From the first several units I got an impression that the course is an aggregation of loosely connected topics (as if the authors tried to cover a lot more than they had time for), but nevertheless each topic is well explained.

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    Anonymous

    I only did the first chapter as I was looking for localization algorithms and I thought it was really useful.

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    Anonymous

    excellent, clear and easy to understand for people with some programming and math skills

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    Anonymous

    Wonderfully taught! Very elegant building of concepts from minimal discourse. “Show me, don’t tell me” leads to deep understanding naturally. Very gifted teacher.

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    Federico Renda

    This course provides a comprehensive overview of the AI techniques used for localization and navigation of mobile robots. Exactly what I was looking for.

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    Anonymous

    useful course for control and automation engineering and researcher

    focusing in soft computing and controller design problem and introduce new techniques in control system design

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    Jordan Lui

    Easily one of the very best MOOCs I have ever taken. Sebastian Thrun brings an incredible eagerness to the topic and his examples are very well prepared. He dives right into the key topics of AI for robotics with great toy examples, allowing a newbie to quickly wrap their minds around the system. Then he scales up the problem a bit to add complexity, building up the complexity at a fair pace. At the end of each task you feel like you have accomplished something great.

    Also, he pre writes all the auxiliary code so you can focus on the core important code, not unnecessary plumbing.

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