MIKE DATTolo 3D PRINTING · CAD · PROTOTYPING

CAPSTONE · ROBOTICS CONCEPT + PHYSICAL PROTOTYPE

M.A.R.T.I.A.N. Construction Robot

My 2024 Johnson & Wales capstone explored a robotic approach to assessing terrain and supporting underground habitat construction on Mars.

Role

Independent capstone project by Michael Dattolo, with faculty mentorship.

Stage

Concept development plus a constructed prototype used to demonstrate sensing and mobility ideas.

Recognition

Technology & Innovation recognition at the 2024 JWU Student Research, Design & Innovation Symposium.

THE PROBLEM

How could a compact robot help prepare construction sites before people arrive?

The project focused on reducing direct astronaut involvement in early habitat construction by proposing a robot that could assess terrain and support excavation/construction tasks using local material.

MY CONTRIBUTION

Concept development, CAD, prototype integration and presentation.

I developed the capstone concept and physical prototype. JWU’s published coverage documents LiDAR and an Intel depth-sensing camera used for site-assessment functions. The exact final leg configuration conflicts across older portfolio copy and university coverage, so this page avoids repeating an unverified leg count.

EVIDENCE

CAD/rendered view of the M.A.R.T.I.A.N. robot concept

Concept / CAD

Visual development of the robot architecture and construction workflow.

M.A.R.T.I.A.N. capstone presentation board

Capstone presentation

Presentation material showing the project concept and intended workflow.

M.A.R.T.I.A.N. DIG workflow illustration

Workflow illustration

Illustration of one stage in the proposed construction sequence; this should be read as a design proposal, not a field-tested Mars process.

OUTCOME / LIMITATIONS

A documented prototype and award-winning capstone—not a validated autonomous construction system.

The project was presented publicly at JWU and received Technology & Innovation recognition. Older site copy described full ROS 2/Gazebo validation, topology-optimized structures and end-to-end autonomous performance; those claims are omitted here until project files can substantiate them.