Teknologiseminar
From Robin
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|''' When''' || '''Who 1''' || '''Content 1: Title and type (tech/res/review)''' || '''Who 2''' || '''Content 2: Title and type (tech/res/review)''' | |''' When''' || '''Who 1''' || '''Content 1: Title and type (tech/res/review)''' || '''Who 2''' || '''Content 2: Title and type (tech/res/review)''' | ||
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- | | 17.09 || | + | | 17.09 || Frank Veenstra || Research status and preliminary results/ideas || || |
|- | |- | ||
| 15.10 || || || || | | 15.10 || || || || |
Revision as of 12:54, 7 September 2020
Meeting structure
Place: ROBIN pause area, 4th floor Ole-Johan Dahls hus
12:00-12:15 Brief exchange of recent news, plans etc.
12:15-13:00 Technology / Own Research / Journal review (see guidelines), including discussion
Dates and subjects - Fall 2020 – Thursdays 12:00-13:00
5-10 min housekeeping updates + talks/roundtable
When | Who 1 | Content 1: Title and type (tech/res/review) | Who 2 | Content 2: Title and type (tech/res/review) |
17.09 | Frank Veenstra | Research status and preliminary results/ideas | ||
15.10 | ||||
05.11 | Tom Frode Hansen | Introduction, machine learning in underground construction (research) | ||
26.11 | ||||
10.12 |
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
- R
- Python as alternative to R, incl. matplotlib
- ROS
- Deep learning frameworks and practice