FIRST Robotics Engineering Design Process and BioGlow Biodiversity Study Guide

FIRST Robotics Program Overview

• Three Main Pillars of FIRST:

  • Robot Game: Focuses on robot design, programming strategy, and match performance (TSP: Team Strategy and Performance).
  • Innovative Project (IP Project): Involves identifying a real-world problem within the seasonal theme, conducting expert research, designing a technological or procedural solution, and presenting findings.
  • Core Values: Embedded across all team activities to promote teamwork, inclusion, innovation, impact, discovery, and fun.

• Team Skill Baselines and Experience Gaps:

  • Rookie Foundation: New team members enter with basic hardware construction experience (e.g., building robots with Ms. Mendenhall) and introductory programming skills (e.g., coding with Coach Pope).
  • Advanced Competencies Required: Rookies require training in complex Robot Game strategies (e.g., chaining and combining multiple mission targets in a single run), applying FIRST Core Values systematically, and developing an Innovative Project from scratch.

• Robot Strategy and Performance Dynamics:

  • Team Performance relies heavily on execution consistency across matches.
  • Sensor usage debates center on gyroscopic sensors; while gyros offer precise navigation, environmental factors require strategic backup programming.

Engineering Design Process & Innovative Project

• Definition of the Innovative Project:

  • A cornerstone competition component where teams explore how scientific discovery and technology can protect, restore, or recreate natural habitats and resolve specific industry challenges.

• The Engineering Design Process (EDP):

  • Structured visually as a continuous wheel, but functions as an iterative, non-linear process.
  • Teams loop continuously between research, expert interviews, prototyping, field testing, and design refinement as new data emerges.
  • High-performing teams must build a fully functional physical prototype rather than relying on conceptual designs.

• Case Study: Archaeology Season Project:

  • Problem Identification: Teams evaluated challenges faced by professional archaeologists in the field. Initial brainstorming was augmented by a field research trip to Wheaton Island Reserve (prompted by state funding constraints in regional archaeological programs).
  • Fieldwork Observations: Archaeologists perform shovel test digs, bug assessments, manually tag artifacts, and log records into central databases. Every item receives a unique Artifact ID number / Call Number to prevent misidentification when items share identical descriptions or source locations.
  • Expert Interviews:
  • Interviewed Rafael Sacchiero to analyze personal, operational, and family challenges in field archaeology.
  • Interviewed Doug Rux and neurodiverse parents to examine neurodiversity accessibility in fieldwork.
  • Interviewed Sergei to refine software architecture and field applicability.
  • Research Questions:
  • Team 14499 / 14491: "How can we design more ergonomic tools and equipment to reduce repetitive strain injuries for archaeologists?"
  • Prototype Iteration:
  • Hardware: Early designs featured a manual rocking sifter. This evolved into a large physical prototype equipped with a dedicated holding pocket (suggested by Rafael Sacchiero) for field accessories.
  • Software: Initial app wireframes built on baseboard models were tested at Qualifiers and Regionals. After discovering web-based applications fail in remote field sites without internet, the team re-engineered the software into an offline application for the Canada Cup competition.
  • Documentation & Rubric Requirements:
  • Cost Analysis: Display boards must feature a explicit financial breakdown (e.g., display section labeled "Big Blue Mold" / Cost Analysis).
  • Citations: Comprehensive logging of literature and interviews using scannable digital documentation tools (scannable QR codes) to allow judging panels to verify research depth.

• Judging Session Execution:

  • Teams present solutions directly to judge panels while demonstrating physical prototype boards and engineering notebooks.
  • Presentations must outline the step-by-step Engineering Design Process and explain how feedback altered the final solution.

FIRST Core Values & Practical Application

• Teamwork:

  • Teams write and refine expert interview questions collectively prior to conducting Webex calls.
  • Robot development incorporates pairing returning veterans with rookie members to facilitate skill transfer.

• Inclusion:

  • Teams actively respect and embrace individual differences.
  • Problem selection involves recording every member's initial ideas and establishing design choices through open voting rather than immediate dismissal.

• Innovation:

  • Demands persistence and creative problem-solving under real-world constraints.
  • Example: Standard archaeological soil sifters are heavy, motorized steel units. For research sites requiring a $30\,\text{minute}$ walk through dense forest (such as sites in New England), steel units cannot be transported. Innovation required engineering lightweight, highly portable manual sifting solutions.

• Impact:

  • Applied research leads to real-world improvements.
  • Example: Academic surveys revealed some university professors sought to filter neurodiverse individuals out of field archaeology due to tool limitations. The development of accessible, offline field tools enabled neurodiverse researchers to remain active in the field.

• Discovery & Fun:

  • Learning new tools (e.g., mastering software platforms like Codex) and discovering personal limits in long work sessions maintain team engagement.

BioGlow Season Theme & Vocabulary Preparation

• BioGlow Season Overview ($2026-2027$ Challenge):

  • Focused on biodiversity, natural ecosystems, and nature-inspired innovation (biomimicry).
  • Core Objective: Identify a specific threat to plant or animal biodiversity, evaluate underlying causes, and design an innovative technological or procedural solution to safeguard ecosystems.

• Digital Study Platform: Knowt (knowt.com):

  • Used for vocabulary acquisition under the Competitive Robotics course (managed by Miss Goby and Coach Pope).
  • Features a core deck of $32$ flashcards covering essential ecological and biodiversity terminology.
  • Study Modes: Flashcards, Practice Tests, Learn Mode, Matching Games, and "Call with Kai" (an interactive AI verbal quiz tool).

Key Biodiversity & Ecological Terminology

• Biodiversity: The variety of life in the world or in a particular habitat or ecosystem, encompassing genetic, species, and ecosystem diversity.

• Genetic Diversity: The variety of genes and DNA differences present within a single species population.

• Endemic Species: Species that are natively restricted to one specific geographic location or habitat and are found nowhere else naturally on Earth.

• Keystone Species: A species on which other plants and animals in an ecosystem largely depend; if removed, the ecosystem would undergo drastic change or collapse (e.g., plankton populations).

• Habitat: The natural home or environment of an animal, plant, or organism, ranging across biomes from the hottest deserts to polar ice packs.

• Abiotic Factors: Non-living physical and chemical components of an ecosystem that affect living organisms and ecosystem functioning (e.g., running water, ambient temperature, sunlight, ice packs).

• Biotic Factors: Living or once-living biological components of an ecosystem (e.g., plants, animals, fungi, bacteria).

• Dispersal: The movement or transport of seeds, pollen, or organisms away from their parent location across geographic areas via wind, water, soil, or animals (e.g., dandelion seeds floating through the air).

• Extinction: The permanent termination and disappearance of a species worldwide.

• Deforestation: The clearing or clearing-away of forests or trees where the land is thereafter converted to a non-forest use.

• Agricultural Expansion: The conversion of natural forests, grasslands, and wild biomes into farmland or livestock pastures, serving as a primary driver of habitat loss and biodiversity decline.

• Invasive Species: Non-native organisms introduced to an ecosystem that outcompete endemic species and disrupt natural ecological balance.

AI Study Tools & Technical Observations

• System Performance Tracking ("Call with Kai"):

  • Platform tracks student accuracy and progress metrics (e.g., tracking individual performance benchmarks such as David Pfannerstill achieving $72\%$ accuracy and Cole recording $25\%$ progress).

• Technical Limitations & Behavioral Artifacts:

  • Voice-based AI models can experience audio interference in active classrooms, causing misread responses, unprompted translations (e.g., outputting text in Chinese, German, or Spanish), or hallucinatory transcripts (e.g., outputting unrelated phrases such as "directing an airplane down the road").
  • Automated safety algorithms can trigger false positives when ambient classroom speech is misheard phonetically (e.g., automated safety alerts logged for Lucas based on misparsed ambient audio).

• Contextual Risk of Unverified Search AI:

  • Search engines utilizing unverified AI scraping tools can ingest satire or parody articles and present them as factual data. Example: An AI search feature scraped a $2021$ parody article and recommended users consume $10 \text{ to } 12$ rocks per day, illustrating the necessity of verifying all primary scientific sources.