Rover Autonomy

Risk-Aware Terrain Perception

Embedded perception for identifying safe, uncertain and risky terrain before a rover commits to a path.

ResearchEngineeringProject Page
01 / The Problem

Why this matters.

Planetary robots must make navigation decisions with limited compute, incomplete terrain information and potentially severe consequences for getting a route wrong.

02 / Engineering Approach

From question to testable system.

This project uses camera and depth information to reason about traversability and terrain risk. Use the page to show dataset generation, network architecture, embedded deployment, metrics and visual examples.

ADD SYSTEM DIAGRAM / PHOTO / ANIMATION
03 / Experimental System

Show the actual engineering.

Use this section for hardware architecture, sensors, actuators, test conditions, software, control, simulation or experimental setup. Keep technical depth available without forcing every visitor to read a paper first.

HARDWARE
SOFTWARE
TESTING
04 / Results

Make the findings visual.

Add selected plots, short result statements, experiment videos and comparisons. Link deeper analysis to the associated publications.

ADD RESULT FIGURE / VIDEO
05 / Research Outputs

Paper, code, data and media.