Table of Contents
Developing an effective strategy is crucial for success in the FIRST Tech Challenge (FTC). A well-crafted strategy encompasses thorough game analysis, intelligent alliance selection, and refined match tactics.
Understanding the game's nuances is the foundation of any strategy. Teams should:
Thoroughly Review the Game Manual:
Start by meticulously reading the official game manual to grasp the rules, scoring opportunities, and constraints. This ensures compliance and helps identify potential advantages.
Identify Scoring Opportunities:
Break down the game into its scoring components. For instance, in "INTO THE DEEP," teams could score by:
Collecting Samples: Retrieving items from the field and delivering them to designated zones.
Assembling Specimens: Combining collected samples with clips to form specimens, which are then hung on chambers.
Ascending: Robots climbing the submersible's rungs during the endgame to earn additional points.
Assess Game Element Accessibility:
Determine which scoring elements are more accessible based on your robot's design and capabilities.
Evaluate the complexity and time required for each task to prioritize actions that offer the best risk-to-reward ratio.
Analyze Match Flow:
Understand the sequence of play, including autonomous, driver-controlled, and endgame periods.
Develop specific strategies for each phase to maximize scoring and efficiency.
Forming a strong alliance can significantly impact competition outcomes. Consider the following:
Complementary Capabilities:
Seek alliance partners whose strengths offset your team's weaknesses.
For example, if your robot excels at collecting samples but struggles with climbing, partnering with a team proficient in ascending can create a balanced alliance.
Consistent Performance:
Prioritize teams with reliable robots and consistent match performance.
Consistency often outweighs occasional high scores, as predictable performance facilitates better strategic planning.
Effective Communication:
Choose partners with whom you can establish clear and efficient communication.
Effective collaboration during matches ensures synchronized strategies and adaptability to dynamic situations.
Executing well-planned match strategies requires attention to detail and adaptability:
Autonomous Period Optimization:
Develop reliable autonomous routines that consistently score points.
Use extensive testing to ensure consistency
Create multiple autonomous programs to allow for better compatibility with your alliance partner
Driver-Controlled Period Efficiency:
Train drivers extensively to ensure precise and swift robot control.
Focus on high-yield tasks that align with your robot's strengths.
Avoid low-scoring or high-risk actions that could lead to penalties or wasted time.
Endgame Planning:
Allocate sufficient tie for endgame tasks, such as ascending or positioning in specific zones.
Ensure the robot is designed to perform endgame actions reliably, as these often offer substantial point bonuses.
Adaptability:
Be prepared to adjust strategies based on real-time match developments.
Ensure your robot can score in multiple ways so that you can switch scoring methods if your alliance partner is better at one method
Make sure you create multiple autonomous programs for the same purpose
For example, if an alliance partner encounters technical issues, your team should be ready to compensate by taking on additional tasks.
Scouting and Data Analysis:
Collect and analyze data on opposing teams to identify their strategies and weaknesses.
Use this information to tailor your approach for each match, exploiting opportunities to gain a competitive edge.
Scouting will also allow you to choose an alliance partner who will complement your strengths and shore up your weaknesses