Lunar Rover Pre-Visualization

Among the many projects I’ve been a part of, this one stands out as truly one-of-a-kind. It is part of a prestigious and globally unique initiative—an academic university sending a rover to another celestial body, in this case, the Moon. As a self-proclaimed space nerd, I knew right away that this was the perfect opportunity for me to apply my creativity in a meaningful way. My role in this project spanned systems engineering and the science team, but what made my contribution unique was my focus on visualization for better systems design and engineering. From conceptualizing the mission to handling different lunar rover scenarios, I worked on creating clear, structured visual narratives that helped identify challenges, simulate solutions, and communicate ideas effectively to stakeholders.

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Project Implementation Overview

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As seen in the project video, the goal was to visualize the entire mission as a sequence of scenarios and frames that flowed logically from one to another. This approach made it easier to spot potential obstacles, simulate workarounds, and present findings to officials and other team members with minimal reliance on dense technical jargon. Essentially, this video served as a digital reference artbook, allowing us to explore various mission conditions, analyze challenges, and refine the mission flow. To create these visualizations, I used a combination of Adobe Illustrator and Sketch: Sketch was primarily used for creating initial concept art, allowing me to quickly draft mission scenarios, rover movements, and environmental conditions. Adobe Illustrator was essential for generating high-quality digital artwork, including vector graphics and scene compositions that accurately represented mission conditions. Figma was used to transform these visuals into structured wireframes and presentations for streamlined communication.

Before diving into digital tools, I often began with rough sketches on my iPad using Freeform. This process allowed for quick iteration and brainstorming, ensuring that the visual concepts were solid before committing to detailed digital artwork. By previsualizing scenes on Freeform, I could rapidly translate ideas into structured digital illustrations, making the workflow much more efficient. The frame-by-frame visualization method proved to be incredibly valuable. Each frame became a discussion point, where we could annotate directly over the digital artwork, debate solutions, and refine our approach. This method led to: More effective discussions with both technical and non-technical team members Better ideation sessions, as visual representations made it easier to spot design flaws A structured workflow, where iterations were tracked and continuously improved Some of these design details can be seen in the Design Details section below (scroll further to explore).

This experience introduced me to an entirely new aspect of design—previsualization and conceptualization for space missions. It was fascinating to see how artistic visual storytelling could directly contribute to technical problem-solving. Beyond just technical diagrams, the ability to represent mission flow in a digestible, engaging way became a crucial asset in engineering discussions. From rough sketches to refined vector illustrations, from concept art to full mission simulations, this project solidified my passion for combining design and space exploration. It was not just about building a rover; it was about crafting a vision for its journey—and ensuring that every possible scenario was accounted for, visually understood, and ready for execution.

Design Details

Anticipating Deployment Challenges with UI

This UI visualization helps anticipate deployment risks by providing a clear, pre-mission assessment of rover positioning, terrain conditions, and potential mechanical failures. By simulating deployment scenarios, engineers can predict issues like tilted lander placement, mechanical failures, or communication blackouts, ensuring proactive solutions before real-world execution.

Overcoming Obstacles: Smart Navigation for Lunar Rovers

This UI visualization helps anticipate navigation challenges by simulating real-world obstacles like uneven terrain and large rocks. By testing AI-driven pathfinding, suspension adjustments, and rerouting strategies, engineers can develop efficient solutions to ensure the rover safely continues its mission.

Adaptive Rover Strategies: Actions in Sunlight vs. Shadow

This UI visualization highlights the critical impact of sunlight on rover operations, comparing illuminated and shadowed regions within the crater. Without sunlight, the rover faces reduced power availability, extreme cold, and sensor limitations, emphasizing the need for efficient energy storage, thermal regulation, and autonomous decision-making to survive and function in lunar shadows.

Strategic Descent: Optimal Pit Entry Point

Deciding the right entry point is crucial for the rover’s safe descent into the pit. This UI visualization helps analyze slope angles, terrain stability, and obstacle-free paths to determine the best approach. By simulating multiple descent trajectories, engineers can select a low-risk entry point that minimizes slippage, conserves energy, and ensures a successful scientific exploration of the crater floor.