Autonomous Healthcare

Specialized Center for interstitial lung diseases. Results and prospects

This article presents the results of a specialized center for interstitial lung diseases based on a 10-year patient registry analysis. It evaluates clinical, functional, and radiographic parameters in patients with idiopathic pulmonary fibrosis and progressive pulmonary fibrosis...

AstraHeal: Deterministic Safety Gating for Uncertainty-Aware Autonomous Spacecraft Fault Recovery

Autonomous spacecraft operating in Low Earth Orbit (LEO) and deep-space regimes must resolve critical electrical and thermal subsystem anomalies during prolonged communication blackouts. While machine-learning planners and evidential diagnostic engines can generate high-utility r...

Evidential Uncertainty-Aware Fault Diagnosis for Autonomous Spacecraft Health Management

Autonomous spacecraft must continue to make health-management decisions when communication with ground operators is delayed or temporarily unavailable. This creates a particular problem for fault diagnosis: a system must not only identify a known failure, but also recognize when...

AstraHeal: Robust Multi-Cycle Autonomous Fault Recovery Under Perturbed Spacecraft Conditions

Autonomous spacecraft operating in Low Earth Orbit (LEO) and deep space must execute closed-loop fault recovery without ground intervention during communication blackouts. While recent aerospace AI architectures demonstrate promising isolated planning and evidential diagnosis, pr...

AstraHeal: Deterministic Safety Gating for Uncertainty-Aware Autonomous Spacecraft Fault Recovery

Autonomous spacecraft operating in Low Earth Orbit (LEO) and deep-space regimes must resolve critical electrical and thermal subsystem anomalies during prolonged communication blackouts. While machine-learning planners and evidential diagnostic engines can generate high-utility r...

Evidential Uncertainty-Aware Fault Diagnosis for Autonomous Spacecraft Health Management

Autonomous spacecraft must continue to make health-management decisions when communication with ground operators is delayed or temporarily unavailable. This creates a particular problem for fault diagnosis: a system must not only identify a known failure, but also recognize when...

AstraHeal: Robust Multi-Cycle Autonomous Fault Recovery Under Perturbed Spacecraft Conditions

Autonomous spacecraft operating in Low Earth Orbit (LEO) and deep space must execute closed-loop fault recovery without ground intervention during communication blackouts. While recent aerospace AI architectures demonstrate promising isolated planning and evidential diagnosis, pr...

Energy-Time-based Docking-Return Path Planning for Cooperative UAV–UGV Systems in GPS-Denied Environments

Unmanned Aerial Vehicles (UAVs) and Unmanned Ground Vehicles (UGVs) offer complementary capabilities for long-duration autonomous missions, where UAV recovery by a ground platform can significantly reduce aerial energy consumption. In practical GPS-denied environments, however, s...

THE RAPID AUTONOMOUS LAB CONSTITUTION

What if every failure, recovery, experiment, and successful deployment could make not only one robot better, but progressively improve the engineering infrastructure behind future autonomous systems? Rapid Autonomous Lab (RAL) is an independent, self-funded technology startup fou...