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RoboCup Rescue Simulation League 2019 Introduction Last year: This year: K-means++ Algorithm fixed Team Detector(AT) Team Detector(AT) Beforehand Dynamic Clustering(FB) Extinguish(FB) New Priority System(PF)


  1. RoboCup Rescue Simulation League 2019

  2. Introduction ● Last year: ● This year: ○ K-means++ Algorithm ○ fixed Team Detector(AT) ○ Team Detector(AT) ○ Beforehand ○ Dynamic Clustering(FB) Extinguish(FB) ○ New Priority System(PF) ○ Solve Congestion(PF)

  3. Algorithm - K-means++ algorithm (2018) - A* Algorithm (2017) Clustering & Path Planning

  4. K-means++ Algorithm (2018) K-means disadvantage ● Improper points can be chosen ○ The solution can be worse. ○ K-means unsuited to clustering in a biased map. K-means++ algorithm solved these problems. ● K-means++ is conscious of below points. ○ Initial centers were chosen spreadly.

  5. K-means++ Algorithm (2018) K-means K-means++ The clustering work adequately.

  6. A* Algorithm (2017) A* Actual Cost Heuristic The distance of Distance of goal parent node

  7. A* Algorithm (2017) Left? Right?

  8. A* Algorithm (2017) A* Actual Cost Heuristic The distance of Distance of goal parent node + Clear repair cost

  9. A* Algorithm (2017) Left Right

  10. A* Algorithm (2017) A* Actual Cost Heuristic The distance of Distance of goal parent node + 1 / Clear repair cost

  11. A* Algorithm (2017) Left Right

  12. Communication - Same as Sample.

  13. Search - Same as Sample.

  14. AT was implemented : Ambulance Team - Efficient assignment for victims according to condition of AT and time. fixed Team Detector

  15. Team Detector (2018) We analyzed strategies of other teams to improve to make a better score. Table. The results of analysis of VC3’s log data of the top 4 in RoboCup2017 Team Rate of rescued civilian Rate of rescue action Rate of cooperation Aura 10% 20% 23% MRL 22% 17% 22% RoboAKUT 13% 18% 21% SEU-UniRobot 9% 22% 19% Other team built groups of AT dynamically and reduced time to rescue civilians.

  16. Team Detector (2018) : civilians : AT ● AT set victim as a candidate for allocation in order of highest priority. ● Selected AT : existing in the circle centering on a victim in order of closeness.

  17. Team Detector (2018) : civilians : AT 2 1 4 2 4 4

  18. Team Detector (2018) : civilians : AT 2 1 4 2 4 4

  19. Team Detector (2018) : civilians : AT 2 4 2 4 4

  20. Team Detector (2018) : civilians : AT 4(>2) 2 4 4

  21. Team Detector (2018) : civilians : AT

  22. Team Detector (2019) Last year ● It was not considered what criterion would form the AT group. This year ● As the cycle progressed and the fire spread, the radius increase. In the end, the area is doubled in the final step.

  23. Team Detector (2019)

  24. FB was implemented : - extinguish the fire near the gas station in priority. Fire brigade - beforehand extinguishing the buildings that were not deal with gas station burning and adjacent to the & burning building. Beforehand Extinguish

  25. Problems of our team’s FB ● The number of FBs was limited ● Fire occurred at multiple locations ● The situation of the disaster was changing by every moment → needed appropriate action of FB according to the situation of the fire.

  26. Problems of our team’s FB It is difficult to suppress the fire spread once. → need extinguish as soon as possible.

  27. Beforehand extinguish ● If four FBs are assigned the same target and extinguish it, a FB do beforehand extinguishing. ● The FB who is the farthest from the target extinguish the highest temperature building near the burning building .

  28. Beforehand Extinguish Building Building The highest The highest Burning Burning temp. Build. temp. Build. ● It’s decentralized decision ● using only distance and temperature

  29. FB1(the farthest) FB2 Burning FB3 the highest temp. FB4

  30. Deal with gas station

  31. Deal with gas station ● Ignition of gas stations can cause massive explosions and cause serious damage not only to surrounding buildings but also to agents and civilians. ● FBs extinguish buildings near to gas stations as priority.

  32. PF was implemented : Police Forces - A method of removing blockades on roads near a refuge in priority. Refuge Clear System & Solve Congestion

  33. Hurdles and mission of PF ● The number of PFs was limited ● Needs quick rescue other agents and civilians with blockades. ● Necessary to secure paths to Refuge. → Prioritize the road to the refuges and rescue the agents and civilians.

  34. Refuge Clear System ● Blockades on roads near refuges could prevent agents and civilians from reaching refuges and prevent FBs supplying water. ● PFs add roads with blockades and near refuges to the target list, and give priority to clear blockades on those roads.

  35. Solve Congestion ● Blockades on roads which many agents and civilians passed cause congestion. ● Caught agent with blockade couldn’t move and take actions. ● PFs add roads where has many agents and civilians to the target list, and give priority to clear blockades on those roads.

  36. Result

  37. Result map Team kobe berlin sakae Ri-one 2019 136.19 70.56 12.31 Ri-one 2018 84.06 83.63 14.55 ● berlin and sakae have ○ too many victims in building compare with AT ○ too many fire buildings compare with FB at the start of simulation.

  38. Thank you for listening

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