Programming and Communication of a Robotic Arm

Year:
2nd year
Semester:
S1
Programme main editor:
Onsite in:
Remote:
ECTS range:
3 ECTS

Professors

Prerequisites:

Robotics Basics: Having a basic understanding of robotics concepts, such as the kinematics and dynamics of robotic arms, can be beneficial.

Electronics Fundamentals: Understanding basic electronics concepts such as resistance, voltage, current, and having experience with common electronic components could be essential for working with robotic hardware.

Pedagogical objectives:

The goal of this STC is to learn the mathematical principles that govern the movement of a robot and how to apply them in simple programs. This includes programming simple trajectories and correcting pre-programmed operations in a robot using AI, and understanding the different communication strategies that a robot has with its environment. We give insights about how to acquire the necessary knowledge to carry out low-level communications with sensorised systems.

Evaluation modalities:

Continuous monitoring and exam.

Description:

Know the mathematical principles that govern the movement of a robot and learn to apply them in simple programs.

Learn to program simple trajectories and correct pre-programmed operations in a robot.

Know the different types and levels of communication that a robot has with its environment.

Acquire the necessary knowledge to carry out low-level communications with sensorised systems.

Learn to carry out communications with SIEMENS PLCs (Programmable Logic Controllers).

  • Mathematical and mechanical principles of the operation of a robot.
  • Languages of communication. Differences in the programming of different brands.
  • Low level programming – logical structure of Python.
  • Communication of a robot with its control system.
  • Communication of a robot with peripheral equipment.
  • PLCs and other programmable controllers. Control hierarchy.
  • Communication of automated installations through advanced common control systems.
  • Preventive and corrective maintenance. Identification and diagnosis of errors.

Required teaching material

The required material in terms of hardware and software will be provided during the course.

Teaching volume:
lessons:
15 hours
Exercices:
Supervised lab:
15 hours
Project:

Devices:

  • Laboratory-Based Course Structure
  • Open-Source Software Requirements