Teknologiseminar

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=== Dates and subjects - Autumn 2023 – Thursdays 12:00-12:45 ===  
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=== Dates and subjects - Spring 2024 – Thursdays 12:15-13:00 ===  
'''5-20 min housekeeping/updates + 20 min talk '''
'''5-20 min housekeeping/updates + 20 min talk '''
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{| class="wikitable"
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|'''When''' || '''What'''||  '''Who'''   
|'''When''' || '''What'''||  '''Who'''   
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|  10.08 ||  Robotics at NTNU, Ålesund || Assoc. Prof. Di Wu [https://www.ntnu.edu/employees/di.wu]
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|  18.01 ||  ||  
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|  17.08 || Introuction to Ege [https://robin.wiki.ifi.uio.no/images/9/98/Intro_to_Ege.pdf] || Ege de Bruin
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|  25.01 || ||
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|  24.08 || [https://www.uio.no/english/research/interfaculty-research-areas/growth-house UiO Growth House] [https://robin.wiki.ifi.uio.no/File:210824-IFI-ROBIN-Ivar-Bergland-compressed.pdf] || Ivar Bergland
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|  01.02 || ||
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|  31.08 || Modeling centipede gaits at Tohoku university [https://robin.wiki.ifi.uio.no/images/e/ea/Emma_Stensby_Seminar_08_2023.pdf] || Emma Stensby Norstein
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|  08.02 || ||
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|  07.09 || Introduction to visiting PhD student Elias [https://najarro.science/] || Elias Najarro
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|  15.02 || ||
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|  14.09 ||  Travel portal and reimbursement tips || Jim
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|  22.02 ||  ||
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|  21.09 || Introduction to IVS  || Ole Jakobs' PhD students
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|  29.02 || ||
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|  28.09 || Something about soup and shrimp || Frank
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|  07.0 || ||
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|  05.10 || Casual meeting due to autumn school break  || Updates from attendees
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|  14.03 || ||
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|  12.10 || Casual/no meeting due to IFI conference (for permanent staff/postdocs) ||
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|  21.03 || ||
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|  19.10 || [https://www.cmplx.riec.tohoku.ac.jp/ Locomotor control in centipedes] || Kotaro Yasui, Akio Ishiguro, Takeshi Kano, visiting from Tohoku University, Japan
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|  28.03 || ||
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|  26.10 || Neuromorphic computing for robotics [https://robin.wiki.ifi.uio.no/images/8/80/Mateusz_Neuromorphic_261023.pdf] || Mateusz Wasiluk
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|  04.04 || ||
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|  02.11 || [https://robin.wiki.ifi.uio.no/images/6/6f/Pupillometry_Marieke.pdf Exploring human-robot interactions through pupillometry] || Marieke
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|  11.04 || ||
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|  09.11 || ZRob Learning || Mojtaba
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|  18.04 || ||
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|  16.11 || TunnRL-CC: A computational framework for smart TBM cutter changing || Tom Frode
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|  25.04 || ||
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|  23.11 || State of the Makerspace [https://robin.wiki.ifi.uio.no/images/e/ea/Makerspace_Adrian.pdf] || Adrian
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|  02.05 || ||
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|  30.11 || intelligent robotics news [https://robin.wiki.ifi.uio.no/images/d/df/Intelligent_robotics_news.pdf] || Kyrre
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|  09.05 || ||
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|  07.12 || Attending the 2023 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) conference || Jim
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|  16.05 || ||
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|  14.12 || From Words to Actions: How can LLMs help robotics? [https://robin.wiki.ifi.uio.no/images/e/e9/Watanabe_LLMs_for_robotics.pdf] || Shin Watanabe
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|  23.05 || ||
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Revision as of 13:36, 11 January 2024

Meeting structure

Place: ROBIN pause area, 4th floor Ole-Johan Dahls hus / gather town

12:00-12:15 Brief exchange of recent news, plans, updates, etc.

~12:20-12:40 Presentation on: Technology / Own Research / Journal review (see guidelines), time excludes discussion

Whatever content you present, remember that some of those attending have no advance knowledge about your project or work so introduce it in the beginning and stay focused on the main issues/challenges etc. Thus, make your presentation simple and understandable for as many as possible.


Dates and subjects - Spring 2024 – Thursdays 12:15-13:00

5-20 min housekeeping/updates + 20 min talk

When What Who
18.01
25.01
01.02
08.02
15.02
22.02
29.02
07.0
14.03
21.03
28.03
04.04
11.04
18.04
25.04
02.05
09.05
16.05
23.05


Overview of earlier seminars

Examples of interesting topics for technology introduction

Feel free to add topics to the wishlist!

  • Robotics
    • Reinforcement learning for robotics
    • SLAM
    • embodied cognition
    • Swarm
  • Neural networks
    • Recursive NNs and LSTMs
    • NEAT / HyperNEAT
    • Deep NNs
  • Evolutionary algorithms and other types of optimization
    • Performance comparison of EAs (statistical tests)
    • Differential evolution
    • Diversity preservation methods
    • Novelty search, MAP-Elites and variants
    • Bayesian optimization
  • Tools
    • SLURM
    • R
    • Python as alternative to R, incl. matplotlib
    • ROS
    • Deep learning frameworks and practice
    • Unity ML agents
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