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Ranger was a Lightweight clusterbot from Thailand that competed at the first Seacon War of Steel, and Thailand Robot Fighting 2016. It consisted of a main robot which was armed with a spinning bar, and a small nuisance robot equipped with a wedge. It did poorly in competition, losing all three of its fights.

Robot HistoryEdit

Seacon War of Steel 1Edit

Ranger's first match was against Candy Reloaded. it lost this match, and was eliminated from the competition.

Thailand Robot Fighting 2016Edit

Ranger's first opponent was Fat Shark. This fight started with both Ranger, and Fat Shark's nuisance bots getting into an individual fight while Fat Shark ripped the rear panel off of the main bot of Ranger. Fat Shark's nuisance bot then fired its net at Ranger's main bot, entangling it, and leaving it driving in circles, unable to use its weapon. The smaller half of Fat Shark continued shoving the larger half of Ranger while the other half of Fat Shark ripped the wheels off of Ranger's nuisance bot, immobilizing it.

Fat Shark's main bot then attacked the only mobile half of Ranger, causing even more damage, but entangling the net in its own spinner. Now without any weapons this fight turned into a pushing match as both halves of Fat Shark shoved what was left of Ranger around the arena until time ran out. Fat Shark won the match, as the events matches were best 2 out of 3 it faced Fat Shark again.

This fight started with the nuisance bot of Fat Shark shoving Ranger around before Ranger, and the main bot of Fat Shark collided weapon to weapon. Ranger then got a hit on the side of Fat Shark, but this did nothing, and Fat Shark delivered another weapon to weapon hit before delivering a side hit of its own. This ripped away part of Ranger's frame completely immobilizing it, and it was counted out.

ResultsEdit

Series Event Round Opponent(s) Results
Seacon War of Steel 1 Group B, Line 3 1 Candy Reloaded Lost
Thailand Robot Fighting 2016 Lightweight Division 2 Fat Shark Lost
Lost

Wins/LossesEdit

  • Wins: 0
  • Losses: 3
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