Freelance
TravellerMenaAG Medical Research Robot
This article originally appeared in the March/April 2024 issue.
| Robot ID: | MenaAG Medical Research Robot, TL12, Cr 384,432, URP=xxx7J(64)x, INT=7, EDU=18 |
| Hull: | 1/1, Size=0.135 klitres, Config=0USL, Armour=1F, Unloaded=0.0472 tons, Loaded=0.0472 tons |
| Power: | 1/2, Battery=0.0159 Mw, Duration=1.5 hours 1/2, Solar Panel=0.0159 Mw, Duration= Unlimited, |
| Loco: | - |
| Commo: | Radio=V Distant×2 (50km), Interface=Brain, Power |
| Sensors: | - |
| Off: | Hardpoints=1 |
| Def: | DefDM=+3 |
| Brain: | CPU=Linear×20, Parallel×15, Synaptic×2, Storage=Standard×180, Synaptic×2 FundLogic=LowAuton, FundCmd=Full, Software=Medical-5, Biology-5, Genetics-5, Lab Tech-5, Survey-5 |
| Control: | Panel=0 |
| Other: | Free Space=0.0006 klitres, ObjSize=Small, EMLevel=Faint |
| Comment: | Cost in Quantity=Cr 307,545; Maximum Education=64 |
The MenaAG TL 12 Medical Research Robot is a robot set up to analyse available medicinal research data, validate and extrapolate that data and provide innovation and avenues for further study and exploration.
It can be just fed data and tasked generally to seek ways to improve health, and wellness, or it can be given a specific goal, such as the production of a vaccine or cure for a particular disease or illness.
When tasked with general improvements in health it generally starts by ingesting and analysing data to see where innovation using existing methods can be found for initial and quick benefits before suggesting validation or further trials or experimentation.
Then specifically tasked it will ingest known data about the illness analyse it and then suggest several experiments or trials in a priority order to best utilise expected results verses time to deliver them against expected progress.
Its skill set is devised to be able to not only provide insights and breakthroughs in medical research, but also to be able to further that research in the most practical manner by delivering trials and experiments that can be practically set-up and delivered in the shortest amount of time. While the robot doesn’t undertake the experiments or trials itself, they are defined in a way that makes them the quickest and easiest to deliver.
For general health research the robot is expected to set to the task and left analysing data and providing trial and experiments to be conducted an continuing basis which allows the robot to increase its education within the field of medical research and how experiments and trials are conducted. Thus, over time the robot improves its own research, experiments and trails.
It takes on average 58 years for the robot to reach its maximum education of 64.
At TL12 the robot is unable to improve its skill levels, even with a supervising sophont with Robotic Operation skills.
The research robot can be fully functional on the solar panels provided indefinably, and a battery with 1.5 hours of power provision is provided if it’s necessary to move the robot while in insufficient light, although it’s expected that the robot is provided with an independent uninterruptable power source.
The robot is housed in a superdense open frame structure with vented perspect sides allowing visual inspection of the components within.