Diploma in Robotics
Discover the uses of robots and how they are classified, laws of robotics and more in this free online diploma course.
Description
This diploma course covers the main themes in robotics, starting with the basics such as its origins. After this, kinematics and the Diffie-Hellman (DH) algorithm are unravelled, along with important differential relations. Although its roots go back to the fourteen or fifteen century, robotics is a relatively new science, engineering discipline or industrial technology that is often misrepresented in the popular media. You will learn that the history of modern robotics can be traced back to 1495 when Leonardo da Vinci designed a mechanical device that looked like an armoured knight. Later, Czech playwright Karel Capec introduced the word ‘robot’ from the Czech word, ‘robota’, meaning ‘tedious labour’. Then move onto to study the basic laws that regulate robotics, such the Zeroth law, which says that a robot may not injure humanity or, through inaction, allow humanity to come to harm. Industrial robots (manipulators), fields and service robots (humanoids, medical robots and walking robots), and entertainment and educational robots are the three main categories that you will explore next.
A robot's joints and links will then be discussed in the course material. Learn how joints provide relative motion while links are rigid members between joints. There are various joint types, such as linear and rotary, and each joint provides a ‘degree of freedom’. You will see how many degrees of freedom most robots possess. Robot architecture is the combination and disposition of the different kinds of joints that configure the robot’s kinematical chain. As you progress through the course, you will be taught that the relative position and orientation of the axes of two successive joints can be specified by two link parameters, link length and link twist angle. You will also learn that you can represent the orientation in joint co-ordinates by the YPR (yaw, pitch and roll) convention. In rectangular or Cartesian co-ordinates, the same can be represented by a rotation matrix R, where the three columns of R correspond to the normal, sliding and approach vectors respectively. You will discover that in order to manipulate objects, it is required to control both the position and orientation of the tool/end effector in a three-dimensional space.
Finally, you will study robot path planning: such a problem is formulated in a tool-configuration space, and robot motion is controlled at the joint space. You will discover that one of the potential problems with solving for joint space velocity is the non-existence of inverse, and the Jacobian matrix may not be invertible for all the values. Find out at which points in joint space, Jacobian loses its rank and why there is a reduction in the number of independent rows and columns. As part of analysing the Jacobian matrix, you will study joint spaces singularities and learn that the interior singularity is potentially troublesome, as it is formed when two or more axes form a straight line. This course will be of great interest to industrialists who might use robots in their factories or who are investigating automation. Students of mechanical engineering, especially those specializing in robotics, will also find this course particularly interesting.
Start Course NowModules
Fundamentals of Robotics
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Fundamentals of Robotics - Learning Outcomes
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Introduction to Robotics
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Evolution of Robotics
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Classification of Robots and Rehabilitation Robotics
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Manipulator Kinematics
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Homogeneous Transformation
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Fundamentals of Robotics – Lesson Summary
Robotics and Kinematics
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Robotics and Kinematics – Learning Outcomes
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Industrial Robot-Kinematic Structures
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Robot Architectures
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Kinematic Parameters
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Robotics and Kinematics – Lesson Summary
First Assessment
DH Algorithm
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DH Algorithm - Learning Outcomes
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DH Algorithm - Concept
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DH Algorithm - Examples
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DH Algorithm – Lesson Summary
Kinematics
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Kinematics – Learning Outcomes
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Forward Kinematics
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Forward Kinematics - Examples
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Inverse Kinematics - Concept
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Inverse Kinematics - Example
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Kinematics – Lesson Summary
Differential Relations
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Differential Relations – Learning Outcomes
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Differential Motions and Statics
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Manipulator Jacobian and Statics
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Differential Relations – Lesson Summary
Second Assessment
Course assessment
Learning Outcomes
You will be assessed on the following outcomes:
- Define robotics
- List the various application of robotics
- Discuss the laws of robotics
- Explain the use of rehabilitation robotics
- Define kinematics
- Contrast polar robot characteristics to Cartesian robot characteristics
- Explain the DH algorithm
- Distinguish between joint parameters and link parameters
- Recognise a six-articulated arm
- List the necessary condition for the solvability of a manipulator
- Contrast tool configuration Jacobian to manipulator Jacobian
- Explain static analysis of the manipulator Jacobian
Certification
All Alison courses are free to enrol, study and complete. To successfully complete this Diploma course and become an Alison Graduate, you need to achieve 80% or higher in each course assessment. Once you have completed this Diploma course, you have the option to acquire an official Diploma, which is a great way to share your achievement with the world. Your Alison Diploma is:
Ideal for sharing with potential employers - include it in your CV, professional social media profiles and job applications
An indication of your commitment to continuously learn, upskill and achieve high results
An incentive for you to continue empowering yourself through lifelong learning
Alison offers 3 types of Diplomas for completed Diploma courses:
Digital Diploma - a downloadable Diploma in PDF format, immediately available to you when you complete your purchase
Diploma - a physical version of your officially branded and security-marked Diploma, posted to you with FREE shipping
Framed Diploma - a physical version of your officially branded and security-marked Diploma in a stylish frame, posted to you with FREE shipping
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