Teknologiseminar

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(Dates and subjects - Autumn 2022 – Thursdays 12:00-12:45)
(Dates and subjects - Autumn 2022 – Thursdays 12:00-12:45)
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~12:20-12:35 Presentation on: Technology / Own Research / Journal review (see [http://robin.wiki.ifi.uio.no/Journal_Review guidelines]), time excludes discussion
~12:20-12:35 Presentation on: Technology / Own Research / Journal review (see [http://robin.wiki.ifi.uio.no/Journal_Review guidelines]), time excludes discussion
 +
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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 - Autumn 2022 – Thursdays 12:00-12:45 ===  
=== Dates and subjects - Autumn 2022 – Thursdays 12:00-12:45 ===  
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|'''When''' || '''What'''||  '''Who'''   
|'''When''' || '''What'''||  '''Who'''   
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|  25.08 || Research work || Renan Maffei, Bjørn, Ivar-Kristian, Shin
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|  25.08 || Research work || Renan Maffei, Bjørn Thor Jonsson [https://uio-my.sharepoint.com/:b:/g/personal/farzanmn_uio_no/ERfItKLjzHlFnwYg8oTNf1EBhKBu8QDjTjrrUXXDQU3EXg],  
 +
Ivar-Kristian Waarum [https://uio-my.sharepoint.com/:b:/g/personal/farzanmn_uio_no/ERESGcFGr4dFvk59k-Vt7FcBWP-y7laVq9SGvszOQMXKEA], Shin Watanabe [https://uio-my.sharepoint.com/:b:/g/personal/farzanmn_uio_no/EVW7sLZuvhROkd2Zc1bYrvcBJi_ucKYe3LYgdkMOtnSTGQ]
|-  
|-  
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|  01.09 ||  ||  
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|  01.09 ||  Making Accelerators Smart: Applications of Deep Learning in High-Energy Physics|| Mateusz Wasiluk
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|-  
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10.02 || ||  
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08.09 || Cubing Sound: Exploring Gestural-based New Musical Instrument in Head-mounted Augmented Reality || Yichen Wang [https://uio-my.sharepoint.com/:b:/g/personal/farzanmn_uio_no/ETmql48DomZOgn0PD2sHIHsBPy87t5DvLaGQ_t4puUjZxw?e=PcQgAx]
|-  
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17.02 ||  ||  
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15.09 ||  No presentation / Casual meeting || └[∵┌]└[ ∵ ]┘[┐∵]┘
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|-  
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24.02 ||  ||  
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22.09 ||  Planning for human robot interaction in the real world|| Shin Watanabe [https://uio-my.sharepoint.com/:b:/g/personal/farzanmn_uio_no/EbCJxWzvS8ZBgVq3W-kK8qUBteKr0tIMn2eidbg2CFS2mQ?e=oQn67x]
|-  
|-  
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03.03 || ||  
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29.09 || Guest lecture: Creative Computing on the BBC Microbit with Bare-Metal ARM Assembly || Charles Martin (former ROBIN postdoc)
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10.03 || ||  
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06.10 ||   No presentation / Casual meeting / round of updates || └[∵┌]└[ ∵ ]┘[┐∵]┘
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|-  
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17.03 || ||  
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13.10 || Automatic/semiautomatic/interactive robotic dance choreography || Mats Høvin
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24.03 ||  ||  
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20.10 || The coffee-machine felt more deliberate in its expression – Study on Intuitive Responses to Robot Behavior
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  || Marieke
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|-  
-
31.03 || ||  
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27.10 || No presentation / Casual meeting / round of updates || └[∵┌]└[ ∵ ]┘[┐∵]┘
|-  
|-  
-
07.04 ||  ||  
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03.11 ||  Visit by journalist from [https://Titan.uio.no Titan.uio.no] for mutual interaction || Elina Melteig
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|-  
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14.04 ||  ||  
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10.11 ||  Automatic/semiautomatic/interactive robotic dance choreography || Mats Høvin
|-  
|-  
-
21.04 || || 
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17.11 ||No presentation / Casual meeting || └[∵┌]└[ ∵ ]┘[┐∵]┘
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|  28.04 ||  ||  
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|-  
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05.05 ||  ||  
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24.11 || Robotic Drummer with Embodied Cognition || Mojtaba
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12.05 || ||  
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01.12 || Working with FPGAs || Hiroyuki Kawai (Hamamatsu Photonics, Japan)
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19.05 ||  ||  
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08.12 ||  || Kyrre?
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26.05 ||  ||  
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15.12 ||  || Ulysse Côté-Allard
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|  02.06 ||  ||
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|}
|}

Revision as of 13:11, 22 November 2022

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.

~12:20-12:35 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 - Autumn 2022 – Thursdays 12:00-12:45

5-20 min housekeeping/updates + 15 min talk

When What Who
25.08 Research work Renan Maffei, Bjørn Thor Jonsson [1],

Ivar-Kristian Waarum [2], Shin Watanabe [3]

01.09 Making Accelerators Smart: Applications of Deep Learning in High-Energy Physics Mateusz Wasiluk
08.09 Cubing Sound: Exploring Gestural-based New Musical Instrument in Head-mounted Augmented Reality Yichen Wang [4]
15.09 No presentation / Casual meeting └[∵┌]└[ ∵ ]┘[┐∵]┘
22.09 Planning for human robot interaction in the real world Shin Watanabe [5]
29.09 Guest lecture: Creative Computing on the BBC Microbit with Bare-Metal ARM Assembly Charles Martin (former ROBIN postdoc)
06.10 No presentation / Casual meeting / round of updates └[∵┌]└[ ∵ ]┘[┐∵]┘
13.10 Automatic/semiautomatic/interactive robotic dance choreography Mats Høvin
20.10 The coffee-machine felt more deliberate in its expression – Study on Intuitive Responses to Robot Behavior Marieke
27.10 No presentation / Casual meeting / round of updates └[∵┌]└[ ∵ ]┘[┐∵]┘
03.11 Visit by journalist from Titan.uio.no for mutual interaction Elina Melteig
10.11 Automatic/semiautomatic/interactive robotic dance choreography Mats Høvin
17.11 No presentation / Casual meeting └[∵┌]└[ ∵ ]┘[┐∵]┘
24.11 Robotic Drummer with Embodied Cognition Mojtaba
01.12 Working with FPGAs Hiroyuki Kawai (Hamamatsu Photonics, Japan)
08.12 Kyrre?
15.12 Ulysse Côté-Allard


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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