The description of the approach for development strategy for automation of LARP games by a set of technologies
C4ISR; LBS; IoT; Machine Learning; Blockchain; Artifactual Intelligence
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Robotic systems and control of then in game dev practice
1. Robotic systems and control of then
in Game dev practice
for Pacemaker: Robots-2019
conference
息 S.Khylevych 2019
3. Conceptual approach
PoC - > LARP (live action role play) - > Game dev
PC games industry : 2.2 Bln total - > 10- 15 %
Disclaimer: It NOT entertainment park as is !!!
5. Command
Cases for understand
- robots never made conversation with humans
himself
- humans newer sends binary codes from body
- even one robots is complicated structure
Platforms as commands views for robots
The adaptation of interface for human adaptive
process end less
inventory creation and store
Scenarios/scripts creates and supervision
7. Control
Tomorrow Never Dies (1997)
Craisy history
https://dou.ua/lenta/articles/diy-underwater-drone/?fbclid=IwAR1x7AHcgC6G5-cvWoZ5YzRw_vf8ocokDI9YxhyjCTxYlld6al-
Q85a7q6M
Control processes:statements; actions; interactions
Controllers is NEVER stand alone by information source !!!
10. Communications
[M2M]
- the Communications provides the
connections from Command to Control(& to
Peripheral as well).
- Define the infrastructure (solution ) design
and architecture
- provode usability and operability of overal
systems
- represent game content as is
NFC, LORA, 4G IoT (LTE-M & NB)
11. Communications
[M2H]
games bot challenges
supports games pre-set
supports games actions
supports topic based splitting
automatic interactions with environment
verbal ???
12. Computing
Big Data -> Machine Learning -> Deep Learning- > AND MORE much MORE
Brad Dourif Dr. Gediman, Alien Resurrection
1997