Course description
There is an increase in the popularity of exoskeletons worldwide, demonstrating the relevance of creating assistive technologies for daily life, ergonomics, and rehabilitation among others. Moreover, the research field related to exoskeletons has grown in the last decade, increasing the demand for appropriate instruction of graduate students that work on the topic. Therefore, this PhD course targets researchers that either design exoskeletons or test current exoskeleton technologies.
In this PhD course, we will firstly establish the basics on the ergonomic interactions that define the need for mechanical assistance on shoulder, back and lower limbs. The course then evolves to introduce the need for specific exoskeleton design, covering actuation, sensing and control issues. Finally, the course will introduce different techniques for the evaluation of exoskeleton technologies considering human-machine interaction and its challenges/limitations. Hands-on experience on the use of motion capture and surface electromyography (EMG) as tools for evaluation will be proposed. Moreover, we will introduce and practice the use of computational models as an alternative method to evaluate the effectiveness of exoskeleton assistance.
Literature:
Preparatory reading materials will be specified depending on the qualification of the enrolled students, to accommodate all necessary knowledge to attend the course.
Prerequisites:
Basic understanding of mechanics, actuation and control is required. A basic background within Anatomy, human biomechanics are desirable. Moreover, basic skills in signal processing using Matlab or Python are also desired.
Evaluation
A final assignment consisting of performing data processing using experimental data recorded during the course should be submitted up to 3 weeks after the course. The analysis can be carried using the experimental data, computer simulations or a combination of both. Further instructions will be announced prior to the course start.
Organizer: Anderson S. Oliveira, Associate Professor (Aalborg University), oliveira@mp.aau.dk
Lecturers: Anderson S. Oliveira, Associate Professor (Aalborg University)
Shaoping Bai, Professor (Aalborg University)
John Rasmussen, Professor (Aalborg University)
ECTS: 3.0 (three full days + course assignment)
Time: To be defined
Place: Aalborg University
Deadline: 15/07/2023
Important information concerning PhD courses:
We have over some time experienced problems with no-show for both project and general courses. It has now reached a point where we are forced to take action. Therefore, the Doctoral School has decided to introduce a no-show fee of DKK 3.000 for each course where the student does not show up. Cancellations are accepted no later than 2 weeks before start of the course. Registered illness is of course an acceptable reason for not showing up on those days. Furthermore, all courses open for registration approximately four months before start. This can hopefully also provide new students a chance to register for courses during the year. We look forward to your registrations.
- Teacher: Anderson de Souza Castelo Oliveira
This Ph.D. course introduces techniques for modeling of musculoskeletal systems based on multibody dynamics. Unlike most courses in the field, this one takes a bottom-up approach beginning multibody kinematics and ending with analysis of complex and anatomically realistic models.
The first day of the course contains a general introduction to musculoskeletal modeling, but participants must be prepared to study the subject in preparation for the course.
The remainder focuses on advanced topics on the forefront of research.
The participants must install the AnyBody Modeling System and familiarize themselves with the system prior to the course. Software licenses will be provided.
The course contents are the following:
1. Monday: Introduction to musculoskeletal modeling
a. Kinematics
b. Kinetics
c. The AnyBody Modeling System
2. Tuesday: Advanced joint models
a. Advanced kinematic constraints
b. Force-dependent kinematics
3. Wednesday:
a. Loose joint models
b. Introduction to subject-specific models
c. Implementation of scaling in the AnyScript model structure
4. Thursday
a. Model morphing from medical image data
b. Individualization and calibration of muscle models
5. Friday:
a. Validation
b. Introduction of assignment
Organizer: Professor John Rasmussen, jr@mp.aau.dk
Lecturers: John Rasmussen, Mark de Zee, Michael Skipper AndersenECTS: 4
Time: 8 - 12 May 2023
Place: Department of Materials and Production, Fibigerstræde 16, 9220 Aalborg Ø
Price: DKK 500 for non-AAU participants to cover coffee and refreshments. DKK 5000 for industrial and non-university participants.
Deadline 28 April
Participants: 30, Each participant must bring a reasonably modern Windows laptop on which software can be installed.
Important information concerning PhD courses:
We have over some time experienced problems with no-show for both project and general courses. It has now reached a point where we are forced to take action. Therefore, the Doctoral School has decided to introduce a no-show fee of DKK 3.000 for each course where the student does not show up. Cancellations are accepted no later than 2 weeks before start of the course. Registered illness is of course an acceptable reason for not showing up on those days. Furthermore, all courses open for registration approximately four months before start. This can hopefully also provide new students a chance to register for courses during the year. We look forward to your registrations.
- Teacher: John Rasmussen
Description:
Smart Production represents a vision towards and an operationalization beyond Industry 4.0 (I4.0). I4.0 as a concept responded to the significantly changing conditions in the industry in the aftermath of the financial crisis, and aimed to introduce new digital technologies in new market-driven applications. From there it has evolved into an all-encompassing vision of the future society driven by technological advances.
Although some guidance in the form of maturity models and roadmaps from consultants and vendors are available, the I4.0 vision has not yet reached a formative stage where wide spread adoption is assisted by robust and scalable solution, but rather remains a vision of a future manufacturing context and advanced manufacturing technology. This means that after a decade of working with the concept we still need operational approaches and supporting solutions.
Therefore, the concept of Smart Production has been introduced, which has its outset not in the description or development of the foundational technologies alone, but in the operationalization of these in an organizational setting and its systems architecture.
Hence, in this course, we will discuss the perspectives and contents of the Smart Production concept and provide some tools for researching and implementing Smart production.
The course will be divided into six themes:
Theme 1: The vision of smart production
• Background and history
• Link to Industry 4.0
• Opportunities and challenges
Theme 2: Smart production technologies
• Introduction to the family of technologies
• Technology evaluation
Theme 3: Examples of integrated solutions
Theme 4: Competences and human factors
• Competences, culture
• Learning factories
• Learning, Training and Assistance in Smart production (Methods, Tools, Formats)
Theme 5: Interaction, implementation and transformation
• Survey of methodologies
• Maturity assessment methods
Theme 6: What is next ?
• Industry 5.0
The course will consist of a number of lectures, combined with several workshop activities were the students works on specific cases.
Organiser: Professor Ole Madsen, om@mp.aau.dk
Lecturers: Professor Ulrich Berger, BTU, Germany
Professor Charles Møller, AAU
Professor Brian Vejrum Væhrens, AAU
Associate Professor Astrid Heidemann Lassen, AAU
Assistant Professor Casper Schou, AAU
Professor Ole Madsen, AAU
Invited guest lectures
ECTS: 3
Time: October 2023
Place: Aalborg University
Deadline: Sep 2023
Important information concerning PhD courses:
We have over some time experienced problems with no-show for both project and general courses. It has now reached a point where we are forced to take action. Therefore, the Doctoral School has decided to introduce a no-show fee of DKK 3.000 for each course where the student does not show up. Cancellations are accepted no later than 2 weeks before start of the course. Registered illness is of course an acceptable reason for not showing up on those days. Furthermore, all courses open for registration approximately four months before start. This can hopefully also provide new students a chance to register for courses during the year. We look forward to your registrations.