Autonomous Subsurface Intelligence

Advanced robotic systems for autonomous survey and mapping where human exploration is too dangerous—from lunar lava tubes to active blast zones in terrestrial mines.

EXPLORE APPLICATIONS

Dual-Mission Platform

One technology. Two critical environments.

Lunar Exploration

Lava Tube Mapping

Exploring and characterizing vast underground networks on the Moon that offer natural radiation shielding and thermal stability for future habitats.

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Terrestrial Mining

Blast Zone Survey

Autonomous inspection of underground mine structures near active blast zones and unstable areas where human survey poses significant safety risks.

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Adaptive Mobility Systems

Modular platforms that reconfigure for any terrain

Tracked robot for flat terrain

Tracked Configuration

Surface Transit

Optimized for rapid movement across lunar maria and established routes. Efficient long-distance travel to lava tube entry points.

Hexapod robot for challenging terrain

Hexapod Configuration

Subsurface Exploration

Six-legged system for navigating boulder fields, crater walls, and lava tube interiors. Trained through reinforcement learning for unpredictable underground terrain.

Mission

Intelligent Systems for Extreme Environments

Our autonomous robotic platforms navigate and map GPS-denied, feature-sparse underground environments where human presence is dangerous or impossible. From extraterrestrial exploration to terrestrial mining operations, we provide critical subsurface intelligence.

Underground environment exploration

Technology Platform

01

Universal Joint Architecture

Modular robots rapidly reconfigure between hexapod and tracked modes for optimal mobility across varied terrain

02

Reinforcement Learning Pipeline

Trained in NVIDIA Isaac Sim to develop adaptive behaviors for unpredictable subsurface environments and GPS-denied conditions

03

Advanced SLAM Algorithms

Real-time simultaneous localization and mapping optimized for dark, feature-sparse underground environments

04

Decentralized Mesh Networking

Multi-robot coordination with distributed mapping capabilities, maintaining connectivity in complex subsurface structures

Team

Shaheen Bharwani

Shaheen Bharwani

CEO

Reinforcement learning, sim-to-real pipeline, foundation model fine-tuning, and robot controls. Middlebury College, SCI-Arc M.Arch.

Yuhang Chen

Yuhang Chen

CTO

Computational design, rapid prototyping, additive manufacturing, and embedded systems integration. SAIC BFA, SCI-Arc M.Arch.

Dr. Keenan Albee

Dr. Keenan Albee

Technical Advisor

Motion planning under uncertainty, multi-agent autonomy, space robotics, and GPS-denied navigation. MIT PhD, NASA JPL, USC Viterbi ASTE.

Dr. Feifei Qian

Dr. Feifei Qian

Technical Advisor

Legged locomotion, robot-terrain interactions, bio-inspired mobility, and proprioceptive terrain sensing. Georgia Tech PhD, NSF CAREER, USC Viterbi ECE.

Join Us

Advancing Subsurface Intelligence

We're partnering with space agencies, mining operators, research institutions, and commercial entities to deploy autonomous systems in the world's most challenging underground environments.

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