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ATLAS – Autonomous Lunar Robot

Lunabotics @ Columbia

Project Overview

ATLAS is Columbia University's reentry into the NASA Lunabotics Challenge, a national engineering competition focused on autonomous lunar excavation. The goal: design a robot capable of traversing simulated terrain and constructing a berm using lunar regolith simulant.

This year marked the revival of Columbia's Lunabotics program after a multi-year hiatus. As co-leads, we chose to pivot from full competition entry to team formation, research, and foundational design, recognizing that building a strong technical and organizational base was essential before competing with legacy programs.

The result: a high-impact first year that produced a fully fabricated chassis, detailed wheel designs, material testing infrastructure, and a novel unbuilt core-drilling subsystem, while training a new generation of engineers to carry the project forward.

MechanicalDesign ProjectManagement Prototyping Manufacturing MaterialResearch

My Role

Co-Lead & Lead Mechanical Engineer

September 2024 – Present

  • Program Revival & Leadership: Relaunched Columbia's Lunabotics program from scratch. Recruited a multidisciplinary team of undergrads and graduate students, built operational structure, and re-established faculty sponsorship.
  • Design Ownership: Led mechanical architecture including CAD modeling, frame layout, and integration planning. Designed the full chassis for fabrication and modular testing.
  • Innovative Subsystem Design: Designed a barrel-style core drill that served both as an excavation and containment system for regolith. The mechanism is driven by twin worm gears, coupling translation and rotation while still allowing independent control of each motion. This provided a unique solution to regolith transport and volume maximization, though it was not fabricated due to time constraints.
  • Fabrication & Testing: Manufactured and assembled a testable chassis using abrasive waterjet cutting and break forming. Conducted early material tests on 3D-printed TPU and aluminum components.
  • Mentorship & Technical Training: Taught underclassmen foundational skills in SolidWorks, manufacturing, ROS2, MATLAB, 3D printing, and mechanics of solids to build continuity for future years.
  • Project Management & Documentation: Managed meetings, timelines, and a $15,000 budget. Authored formal reports and proposals following NASA's systems engineering process.

Quick Facts

Team Size
15 Engineers
Year
2024–2025
Tools Used
SolidWorks, ROS2, MATLAB, Simulink, RViz2, Autodesk Fusion, Excel
Budget
$15,000

First-Year Milestones

Mission Focus

We made a strategic decision: rather than rush toward a fragile competition entry, we focused on building a robust foundation including hardware prototyping, subsystem R&D, recruitment, and engineering education.

Outcome: Delivered designs, prototypes, documentation, and trained leadership for next year's build.

Chassis Fabrication

Designed and built a full-scale chassis via waterjet and break forming. Optimized geometry for debris clearance and modular integration with autonomy and power systems.

Status: Completed and assembled for static and interface testing.

Wheel Design

Created two distinct wheel concepts:

  • Flexible TPU Mesh Wheel for compliant traction
  • Rigid Aluminum Cleated Wheel for robust regolith propulsion

Performed CAD, FEA, and early testing with regolith simulant.

Status: Fully designed and analyzed, fabrication pending.

Core Drill Excavation System

Designed a barrel-style core drill that served both as an excavation and containment system for regolith. The mechanism is driven by twin worm gears, coupling translation and rotation while still allowing independent control of each motion. This enabled a compact, mechanically robust design suited for lunar excavation constraints.

Status: Fully designed but not fabricated.

Material Research

Tested 3D-printed TPU anisotropy, performed abrasion tests with LM-1 lunar regolith simulant, and compared aluminum, titanium, and composites for structural use.

Status: Material selection matrix complete, findings handed off to future team.

Autonomy Infrastructure

Set up control architecture using Raspberry Pi with Ubuntu and ROS2, integrated LiDAR sensors, and successfully visualized data using RViz2. Began work on a Simulink digital twin for motion planning simulations.

Status: LiDAR visualization achieved, localization and navigation in progress.

Reflection & Next Steps

What We Accomplished

Challenges Faced

The Road Ahead

We are proud of this year's pivot and progress. By laying a solid technical and organizational foundation, we have positioned Columbia to reenter the competition field with a mature, well-trained team ready to compete seriously in future Lunabotics challenges.