Public reporting on drone warfare — aggregated daily.
Researchers developed scenario-based thermal management models for unmanned ground vehicles integrating AI, power electronics, and battery systems using Simulink and GT-SUITE co-simulation. The approach enables operators to predict and manage heat dissipation across multiple onboard subsystems before deployment.
A proof-of-concept platform combines ground and aerial unmanned vehicles with robot-assisted patient care to extract casualties from chemical, biological, radiological and nuclear environments without exposing rescue personnel. The system demonstrates technical feasibility for autonomous evacuation in high-threat, inaccessible terrain where conventional methods fail.
Researchers demonstrated that camouflage-matched fiducial markers can georeference LiDAR and vision-based mapping from unmanned ground and aerial vehicles without GNSS. The method reduced drift by up to 99%, enabling autonomous platforms to maintain consistent spatial references in environments where satellite signals are unavailable.
Researchers assembled a manually annotated dataset of 6,106 ship images from multiple sources, including UAV and USV imagery captured across varying weather, illumination, and time conditions. The dataset enables development of maritime detection models robust to operational variability—a capability analysts need as unmanned platforms expand in naval surveillance missions.
A new open-source repository for unmanned aerial and ground vehicle tracking has been published. The release provides analysts and developers with code for multi-platform tracking applications, addressing integration challenges in heterogeneous unmanned systems operations.
Researchers demonstrated human-robot interaction using large language models to control mixed aerial and ground unmanned vehicle formations within finite time bounds. The approach addresses coordination challenges in heterogeneous swarms where assets have different capabilities and dynamics.
Researchers demonstrated a coordination framework that synthesizes mission actions from radar, RF, acoustic, and visual data while enforcing safety through independent analogue envelopes that veto unsafe commands. The approach separates interpretation, coordination, and execution layers to maintain auditability and resilience against cyber compromise, jamming, and spoofing—relevant for contested coastal surveillance operations.