Teaching plan for the course unit

 

 

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General information

 

Course unit name: Robotics and Biomedical Systems Control

Course unit code: 363758

Academic year: 2021-2022

Coordinator: Manuel Puig Vidal

Department: Department of Electronic and Biomedical Engineering

Credits: 6

Single program: S

 

 

Estimated learning time

Total number of hours 150

 

Face-to-face and/or online activities

75

 

-  Lecture

Face-to-face and online

 

45

 

-  Laboratory session

Face-to-face and online

 

30

Independent learning

75

 

 

Competences to be gained during study

 

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To be able to work independently (Personal).

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To be able to work in a team or a multidisciplinary group (Personal).

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To be able to work in a multilingual environment and communicate and transmit knowledge, procedures, results, abilities and skills (oral and written) in a native and a foreign language (Instrumental).

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7T-TRANSV. Ability to work as part of a team.

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To be able to analyse, assess and take technological decisions in accordance with the criteria of cost, quality, safety, social impact, sustainability, time and respect for the ethical principles of the profession (Instrumental).

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8G-GENERAL. Knowledge of the basic materials and technologies required in the study and development of new technologies and methods and of how to make new developments as versatile and forward-compatible as possible.

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6T-TRANSV. Capacity for abstract thought and to create and apply models that represent real situations.

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To be able to resolve problems with initiative and creativity and to take technological decisions in accordance with criteria of cost, quality, safety, sustainability, time and respect for the profession's ethical principles (Instrumental).

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9T-TRANSV. Ability to design and carry out tests and experiments and analyse and interpret the results.

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To be able to analyse and summarize (Instrumental).

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To be able to conceive, design and produce equipment and systems, especially those for biology and medicine. In particular, to be able to develop the hardware needed to receive, adapt, digitalize and process signals with different characteristics.

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To be able to focus the design of products systematically. To select which parts of the application ideally require a hardware or software solution, to know how to suitably integrate both parts in the final product and to be able to develop, when required, an interface that enables the integration of more complex architectures.

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To gain the scientific and technical training to work on the design and development of measurement, control and communication systems for all of the biomedical activities required by society and by scientific knowledge.

Learning objectives

 

Referring to knowledge

— Acquire an understanding of the fields of application of robotics.
— Review recent developments in robotics for medical applications.
— Learn and resolve position and orientation (POSE) of a robotic system.
— Understand the kinematics of arm-type robots.
— Solve the trajectory of an arm-type robot end effector.
— Understand the kinematics of vehicle-type robots.
— Know different biomedical system controls.

 

 

Teaching blocks

 

1. Introduction: medical robotics

2. Concepts of robotics

2.1. Representing position and orientation

2.2. Time and motion

3. Arm-type robots

3.1. Robot arm kinematics

3.2. Trajectory generation

4. Mobile robots

4.1. Car-like mobile robots

4.2. Moving to a pose; Following a path

5. Biomedical control systems

 

 

Teaching methods and general organization

 

 The methodology of the course consists of:

— lectures combined with practical exercises; 
— project-based work and practical exercises completed independently under the lecturer’s supervision; 

All the sessions of this subject are conducted in English.

 

 

Official assessment of learning outcomes

 

Assessment for the subject includes:
— independent research work and practical exercises (40%);
— project and laboratory works (30%);
— final exam (30%).
 

Repeat assessment

Students who fail the subject are entitled to repeat assessment. They must have completed all the delivery works and sit another final exam.

 

Examination-based assessment

The single assessment option is only available to students who meet these conditions:
— single assessment must be formally requested in writing.

Assessment for the subject includes:
— independent research work and practical exercises (40%);
— project and laboratory works (30%);
— final exam (30%).

Repeat assessment

Students who fail the subject are entitled to repeat assessment. They must have completed all the delivery works and sit another final exam.

 

 

Reading and study resources

Consulteu la disponibilitat a CERCABIB

Book

Corke, Peter. Robotics, vision and control : fundamental algorithms in Matlab. New York : Springer, 2017.  Enlla├ž

  https://link.springer.com/book/10.1007%2F978-3-319-54413-7

Craig, J.J. Introduction to robotics: mechanics and control, Pearson Education, Inc., Pearson Prentice Hall, 2017.

Hands-On ROS for Robotics Programming. Ed 2021. ISBN: 978-1-83855-130-8  Enlla├ž

  https://www.amazon.es/Hands-ROS-Robotics-Programming-autonomous/dp/1838551301/ref=tmm_pap_swatch_0?_encoding=UTF8&qid=&sr=

ROS Robotics Projects. Ed 2019. Ramkumar Gandhinathan and Lentin Joseph. ISBN 978-1-83864-932-6

  https://www.amazon.es/ROS-Robotics-Projects-Operating-learning-ebook/dp/B07ZRWFPHF