Demo Library
See the systems operating in the field
Each demonstration shows a full mission sequence — what is demonstrated, the capability behind it and why it matters operationally.
Neuronic Capability Overview
A short overview of the Neuronic stack: edge perception, platform autonomy, tactical video and multi-robot command and control.
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Autonomous Robotic Dog Building Scan
A robotic dog receives a building scan mission, enters the structure, navigates corridors, scans rooms and reports video and position back to the operator — without teleoperation.
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UGV Hardware-in-the-Loop Simulation
A tracked UGV runs the Neuronic autonomy stack against a physics-based simulation, with real hardware in the loop, to validate navigation and obstacle avoidance before field deployment.
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ATR Real-Time Detection & Tracking
Neuronic edge analytics detect, classify and track multiple targets in real time from EO and IR video, holding track identity through occlusion and platform motion.
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Drone Autonomous Target Tracking
A drone detects a moving ground target, follows it autonomously and keeps the gimbal locked while continuing its mission without continuous operator control.
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FPV Loitering with Raspberry Pi
A low-cost FPV drone fitted with a Raspberry Pi companion computer holds a loiter pattern around a point of interest while streaming video and telemetry.
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NOMAD Multi-Robot Mission
A drone detects a target, NOMAD shares position and video automatically, and a ground robot is tasked to investigate — one operator, multiple autonomous assets.
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UGV Autonomous Navigation & Obstacle Avoidance
A tracked UGV executes an assigned outdoor route, assesses traversability and avoids obstacles that were not in the plan.
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Tactical Video & Teleoperation Under Degraded Links
An operator holds live video, telemetry and control of a robotic platform while available bandwidth drops and the link degrades.
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