Final Project Presentation Template

Slide 1 — Title

  • Project title
  • Course name, academic year
  • Group name + members (and roles, optional)
  • University / Lab
  • 1-line tagline: What problem you solved + how

Slide 2 — Motivation & Problem Statement

  • Mission scenario / operational context
  • Why it matters (safety, cost, autonomy, performance, research gap)
  • Problem statement (1–2 sentences, be precise)
  • Success criterion: what “good” looks like

Slide 3 — Objectives & Contributions

  • 2–4 objectives (make it as measurable as you can)
  • 2–4 main contributions
    • e.g., implemented a 6-DOF model + validated on dataset X
    • designed controller Y under constraints Z
    • integrated acoustic measurement model into simulation

Slide 4 — System Overview (Big Picture)

  • One diagram preferred (block diagram / pipeline):
    • Vehicle dynamics model
    • Sensors (IMU, DVL, acoustic, etc.)
    • Estimator / controller / planner
    • Simulation environment / data pipeline
    • Outputs / metrics

Slide 5 — Models (Core Equations, Not a Wall of Math)

  • Model type (e.g., 3-DOF planar, 6-DOF rigid-body)
  • Key assumptions (neutrally buoyant? small angles? linear damping?)
  • Model details:
    • e.g., added mass, damping, restoring, thrust, disturbances
  • Parameter source: literature / identification / tuning

Slide 6 — Methods (Estimation / Control / Simulation)

Include only what is relevant: - Controller (PID, LQR, MPC, nonlinear control, etc.) - Estimator (EKF, particle filter, complementary filter, etc.) - Acoustic integration (measurement model, update rate, noise) - Simulation details (time step, integrator, constraints)

Slide 7 — Experimental Design / Evaluation Protocol

  • Scenarios tested (at least 2–3)
  • Baselines (what you compare against)
  • Metrics (tracking error, energy, stability margins, convergence, etc.)
  • Robustness tests (noise, currents, parameter mismatch)

Slide 8 — Results (Main Plots)

  • 2–4 figures max, readable:
    • trajectory overlays
    • error vs time
    • control effort
    • uncertainty (if applicable)
  • One sentence per figure: What should I notice?

Slide 9 — Discussion: What Worked, What Didn’t

  • Key findings (tie back to objectives)
  • Failure cases / limitations
  • Sensitivity: what parameters matter most?
  • What surprised you

Slide 10 — Conclusions & Takeaways

  • 3–5 bullet takeaways
  • “If you remember one thing…” statement
  • Practical relevance: how it would be used on a real use case

Slide 11 — Future Work

  • 3–6 items, ranked by impact / feasibility
  • What you would do with 2 more weeks vs 2 more months

Slide 12 — Q&A (and Discussion Prompts)

  • “Questions”
  • 2–3 prompts to guide discussion:
    • Which assumption is most risky for sea trials?
    • What is the simplest next experiment to validate this?
    • What would you change for a different vehicle class?