DISA

Don’t miss the opportunity to come and listen to our invited lecture from Memorial University of Newfoundland – Dr. Vinicius Prado da Fonseca
Please sign up via this form by February 21st. https://forms.gle/wZ9YmV8Fu4AwbaQu5

Title: “Using ML/RL to develop visual and tactile sensing for the next generation of assistant devices and smart prosthesis”

Abstract:
The next generation of autonomous robotic assistants and semi-autonomous prostheses will focus on making object manipulation more predictable and reliable. Achieving these goals requires novel manipulation methods while obtaining and processing accurate object information. This presentation delves into recent investigations leveraging Machine Learning models and Reinforcement Learning methodologies to extract hand and object characteristics from visual and tactile data. Our ongoing research spans various domains, including robotic perception, human grasp analysis, and intention recognition. Specifically, we will showcase progress in haptic feedback integration, enhancing robot hand grasp stability, automatic texture recognition, precise surface reconstruction, and optimizing robotic disassembly tasks. Through these endeavors, we aim to illuminate pioneering approaches in employing machine learning models to analyze visual-tactile data, offering promising applications in automated hand control and biomedical engineering.

Bio:
Dr. Vinicius Prado da Fonseca , Ph.D., is an Assistant Professor in the Department of Computer Science at Memorial University of Newfoundland. In 2014, Dr. Prado was awarded the Science without Borders Ph.D. scholarship, and later, in 2020, obtained his Ph.D. degree in Electrical and Computer Engineering from the University of Ottawa, Canada. Dr. Prado’s area of expertise is robotic manipulation and visual and tactile robotic feedback, where he focuses on building the next generation of tactile sensing and perception combined with artificial intelligence, fuzzy logic controllers, and applied reinforcement/machine learning. In recent years, he has published over 30 peer-reviewed articles in leading conferences and journals such as IEEE ICRA, Springer Intelligent Robotics, and IEEE Transactions.
https://www.cs.mun.ca/~vpradodafons/

When? Friday March 15th 14-16
Where? Onsite: D2272 at Linnaeus University in Växjö and online
Registration: Please sign up for the PhD-seminar via this link https://forms.gle/ycGkmasndKvofBCE6 by March 13th (especially important if you plan on attending onsite so we have fika for everyone)

14.00-14.10 Welcome and practical information from Welf Löwe
14.10-14.55 Presentation and discussion: Advancements in IoT and AI Integration: Insights from Kalmar’s IoT Lab – Fredrik Ahlgren
14.55 – 15.05 Coffee break
15.05 – 15.50 Presentation and discussion – Data and sustainability – Jorge Zapizo
15.50 -16.00 Sum up and plan for our next seminar on April 19th

Abstracts

Advancements in IoT and AI Integration: Insights from Kalmar’s IoT Lab – Fredrik Ahlgren
In this seminar, Dr. Fredrik Ahlgren, Senior Lecturer at Linnaeus University, will outline the transformative journey of establishing the IoT Lab in Kalmar, showcasing its evolution from an initial concept to a thriving research hub. The presentation will highlight the lab’s innovative projects, such as connected beehives and the M/S Dessi connected ship initiative, alongside collaborative efforts with over 15 industry partners through pilot cases. Dr. Ahlgren will delve into the integration of AI for data analysis, including the use of ChatGPT for enhancing research outputs. The seminar will reference specific publications, such as the application of machine learning for fuel consumption prediction in maritime engineering and the use of reinforcement learning in IoT environments, underscoring the lab’s contribution to applied research in IoT and AI. Attendees will gain insights into the lab’s strategic approach to leveraging IoT and AI for addressing real-world challenges, highlighting the impact of these technologies on industry and education.

Data and sustainability – Jorge Zapico
Data can make sustainability issues visible and actionable: carbon emissions, biodiversity, energy, resource consumption, waste. These issues are complex, long term, systemic, and we have problems grasping them without support. Technology provides new ways to measure the current state, simulate future scenarios and options, and to get feedback about ongoing changes and interventions. Dr. Jorge Zapico, Senior Lecturer at Linnaeus University will present lesson learnt from developing prototypes and services for sustainability during the last 15 years, what he sees as the main contributions, risks and pitfalls, and which future innovation spaces lay ahead.

When? Friday March 1st 14-16
Where? Onsite: B1009 at Linnaeus University in Växjö and online
Registration: Please sign up for the PhD-seminar via this link https://forms.gle/1KCLvBZQph4Vs1cR7 by February 28th (especially important if you plan on attending onsite so we have fika for everyone)

14.00-14.10 Welcome and practical information from Welf Löwe
14.10-14.55 Presentation and discussion: Leveraging machine learning and large language models to map source code as natural language to architectural modules. – Nils Johansson, Industry PhD-student at Volvo CE
14.55 – 15.05 Coffee break
15.05 – 15.50 Presentation and discussion – Towards a Probabilistic Interactive Video Training Tool for Emergency Medical Services – Romain Herault, PhD-student at LNU
15.50 -16.00 Sum up and plan for our next seminar on April 5th

Abstracts