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PROJECT DOSSIER // Multi-agent semantic exploration system

SAGE

TECHNICAL OVERVIEW

SAGE is a multi-agent system for intelligent 3D environment understanding using semantic segmentation, active perception, and guided exploration.

ARCHITECTURE DETAILS

A research-oriented AI system designed to help agents collaboratively explore and interpret complex 3D scenes. It combines semantic segmentation, active perception, and prompt-guided reinforcement learning to support environment understanding and scene-level reasoning.

FIG 01 // SYSTEM DIAGRAM SCHEMATIC
CO-AGENTSRL PoliciesACTIVE SENSORSPose & Depth Maps3D ENVIRONMENTSEGMENTATION3D Point-wise tags
PROJECT SPECS
CategoryAI / ROBOTICS / 3D UNDERSTANDING
StatusRESEARCH
UpdatedJUN 2026
SYSTEM DESIGN NOTE

Supports aerospace and robotics direction. It shows work beyond web applications and toward intelligent physical-world systems.

TECHNOLOGY STACK
PythonComputer Vision3D Semantic SegmentationReinforcement LearningMulti-Agent Systems
METADATA TAGS
#multi-agentsystems#3dperception#computervision#reinforcementlearning#semanticsegmentation