机器人技术

Robotics

Learn the core techniques for representing robots that perform physical tasks in the real world.

1545 次查看
哥伦比亚大学
edX
  • 完成时间大约为 10
  • 高级
  • 英语
注:因开课平台的各种因素变化,以上开课日期仅供参考

你将学到什么

Represent 2D and 3D spatial relationships, homogeneous coordinates

Manipulate robot arms: kinematic chains, forward and inverse kinematics, differential kinematics

Program and navigate mobile robots: robot and map representations, motion planning

Plan complete robot systems

Develop present and future applications for robots

课程概况

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.

课程大纲

Week 1

Introduction to Robotics
Homogenous coordinates and transform representations

Week 2

Kinematic chains
Forward kinematics

Week 3

Inverse kinematics: analytical methods

Week 4

Differential kinematics: Jacobian computation, singular configurations

Week 5

Configuration space operation

Week 6

Mobile robots
Differential drive kinematics

Week 7

Motion planning in robotics

预备知识

College-level introductory linear algebra (vector spaces, linear systems, matrix decomposition)
College-level introductory calculus (partial derivatives, function gradients)
Basic knowledge of computer programming (variables, functions, control flow)
Projects will be carried out in the Python language, with C++ as an option

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