Teknologiseminar
From Robin
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
Dates and subjects - Spring 2021 – Thursdays 12:00-12:45
5-20 min housekeeping/updates + 15 min talk (casual meetings = round-table)
When | What | Who |
21.01 | Who is Diana? What will she do here? | Diana |
28.01 | Casual meeting | └[∵┌]└[ ∵ ]┘[┐∵]┘ |
04.02 | The ROBIN API (Slides can be found here) | Vegard |
11.02 | Introduction to the Predictive and Intuitive Robot Companion (PIRC) project | Jim – Presentation |
18.02 | Casual meeting (With short presentation from Andrija) | └[∵┌]└[ ∵ ]┘[┐∵]┘ |
25.02 | Do your dance moves seem too robotic? You might be one of Benedikte's trained networks. | Benedikte |
04.03 | Predicting Randomness? Information content-based analysis of iEEG | Julian |
11.03 | Casual meeting | └[∵┌]└[ ∵ ]┘[┐∵]┘ |
18.03 | TBA | Farzan |
25.03 | Journal review. Journal: TBA | Emma |
01.04 | Easter holiday | ˭̡̞(◞⁎˃ᆺ˂)◞*✰ |
08.04 | Kyrre (remove this note to confirm) | |
15.04 | Mike (remove this note to confirm) | |
22.04 | Casual meeting | └[∵┌]└[ ∵ ]┘[┐∵]┘ |
29.04 | Kai (remove this note to confirm) | |
06.05 | Mojtaba (remove this note to confirm) | |
13.05 | National holiday | ˭̡̞(◞⁎˃ᆺ˂)◞*✰ |
20.05 | Mats (remove this note to confirm) | |
27.05 | Measure while drilling for automated decisions in rock tunnelling | Tom |
03.06 | Casual meeting | └[∵┌]└[ ∵ ]┘[┐∵]┘ |
10.06 | Not yet available | |
17.06 | Not yet available | |
24.06 | Casual meeting | └[∵┌]└[ ∵ ]┘[┐∵]┘ |
To be continued | in August |
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