In addition to the first 3 positions in each of the Challenge categories, 3 additional awards will also be given out for the aspects explained below. Awards will be given separately to primary and secondary Schools.
Types of Awards:
To recognize the team that best demonstrates the ability to incorporate innovative designs into their robot that give it a competitive advantage during the game.
This award may be awarded to teams in either the Exploration or Autonomous Challenges.
To recognize the team that demonstrates the best proficiency in the construction of their robot, as seen in the quality of the final product.
This award may be awarded to teams in either the Exploration or Autonomous Challenges.
To recognize the team that is best able to build a robot to achieve the most points in the least amount of time.
This award applies to Autonomous Challenge only.
Efficiency will be calculated using the formula:
Efficiency score = game score / time taken
Notes:
1. To qualify for this award, the team’s robot must succeed in completing the task without any error.
2. The efficiency score will be calculated for each game, and not from the total score in the preliminary rounds or the final rounds.
3. The highest efficiency score from ONE game in either the preliminary rounds or the final rounds can be used to win the award.
Judging process for additional awards:
Teams may choose to be considered for none or any number of awards.
A booth will be available during the Final rounds. Teams interested in either the Most Innovative Design Award or the Best in Mechanical Construction Award should present their robots to the judge(s) at some time during the competition. Questions may be asked by the judge(s).
The winners for the Most Efficient Robot Award will be decided based on the performance (efficiency score) in any single game in the Preliminary or Finals rounds.
No report or write-ups are needed. No official presentation (with PowerPoint slides, etc.) needs to be prepared.
Also, the organizers will observe the performance of the robots during the preliminary and final rounds, and may identify outstanding robots for the awards.
Note that the purpose of these awards is to recognize outstanding engineering skill on the part of the students. Hence, robots which have been constructed from raw parts are likely to score higher marks than those which have been constructed from ready-made parts such as Lego or VEX robotic system kits.