This course provides key insights into Industrial Robotics and Machine Learning. It will give hands-on practical exposure and a real understanding of how to apply artificial intelligence to automated processes using industrial robots.

This course provides essential knowledge on advanced industrial robotics, mechanics and kinematics, control, and the application of inbuilt intelligence to allow robots to learn from their environment or existing data. It will also provide an overview of robotics ethics and standards giving the delegate an insight into the social impact of advanced robotics. It is equally suitable for engineers new to robotics or for more experienced engineers aiming to expand their knowledge of more complex concepts such as kinematics and machine learning.

At a glance

  • Dates
    • 20 - 21 May 2024
  • Duration2 Days
  • LocationCranfield campus
  • Cost

    £600. The course fee includes lunch and refreshments throughout the day. Accommodation is not included and must be booked separately. Concessions available.

    Concessions available

Course structure

This two-day course is presented through a mixture of lectures, workshops and discussion of case studies. Active participation from the delegates is strongly encouraged particularly during the whole course to consolidate learning. All delegates will receive a Certificate of Attendance upon completion of this course.

What you will learn

The course will build up the delegates’ understanding and knowledge of AI & Machine Learning technologies with the application on industrial robots. More specifically, on completion of the course delegates will be able to:


  • Understand the construction of Forward Kinematic, Inverse Kinematic and trajectory solutions for a Multi Degree of Freedom Robots.
  • Examine a given control problem and appraise the suitability of a control system as a solution.
  • Understand the industrial automation process.
  • Using a provided implementation, plan machine learning analysis on suitable forms of computer and robotics data.
  • Construct an application to implement and to aid robot learning to solve a practical task.

Core content

The course material includes the following:


  • Basics of Industrial Robot
  • Key technologies
  • Kinematics of Industrial Robot
  • Industrial Automation
  • Practical tasks around kinematics and control
  • Robot standards and ethics
  • Machine Learning

 

Who should attend

The course is suitable for those with essential engineering mathematics knowledge and basic computer programming skills.

Speakers

The course is presented through lectures and workshops conducted by members of Cranfield University’s staff all of whom have considerable academic and industrial experience.

Concessions

10% discount for third and subsequent delegates from the same company/site.
10% discount for Cranfield University’s Alumni.

Accommodation options and prices

This course is non-residential. If accommodation is required, please make your arrangements at Mitchell Hall or a nearby hotel. Please enquire about the short course delegate rate.

Location and travel

Cranfield University is situated in Bedfordshire close to the border with Buckinghamshire. The University is located almost midway between the towns of Bedford and Milton Keynes and is conveniently situated between junctions 13 and 14 of the M1.

London Luton, Stansted and Heathrow airports are 30, 90 and 90 minutes respectively by car, offering superb connections to and from just about anywhere in the world. 

For further location and travel details

Location address

Cranfield University
College Road
Cranfield
Bedford 
MK43 0AL

How to apply

To apply for this course please use the online application form.

Apply now

Read our Professional development (CPD) booking conditions.