unmanned aerial vehicle
PulseAugur coverage of unmanned aerial vehicle — every cluster mentioning unmanned aerial vehicle across labs, papers, and developer communities, ranked by signal.
- instance of alphaXiv 90%
- used by deep reinforcement learning 90%
- used by Multi-agent reinforcement learning 90%
- instance of Mappō 90%
- instance of PairUAV 90%
- used by Starobělská 90%
- used by Mappō 90%
- used by Global Positioning System 80%
- used by Open Radio Access Network 80%
- used by DagsHub 70%
- instance of DagsHub 70%
- used by alphaXiv 70%
- 2026-07-19 research_milestone Engineers developed an AI-optimized drone that uses visual illusions for near-invisibility, presented at the 2026 Robotics: Science and Systems Conference. source
17 day(s) with sentiment data
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New algorithms tackle UAV edge network caching challenges
Researchers have developed new algorithms for content caching in dynamic multi-unmanned aerial vehicle (UAV) edge networks. The proposed methods, DE-UBAC and GRU-DEPPO, aim to improve cache-hit performance and reduce de…
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New asymmetric hypothesis testing method offers sample savings
Researchers have developed a new method for asymmetric likelihood-free hypothesis testing, which allows for different sample budgets when analyzing two unknown distributions. This approach can lead to polynomial savings…
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New benchmarks test AI in scientific error detection and drone navigation
Researchers have developed new benchmarks to evaluate the capabilities of large language models (LLMs) and AI systems in specific domains. The FLAWS benchmark, introduced by Yang Xi, assesses LLMs' ability to identify a…
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RGB-Infrared Fusion Methods Compared for Counter-UAV Detection
This paper investigates two methods for fusing visible (RGB) and infrared (IR) data to improve the detection of unmanned aerial vehicles (UAVs). The study compares "early fusion," which merges spectra into a single imag…
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Ukraine conducts first aerial drone evacuation of wounded soldier
Ukraine has successfully conducted the first-ever aerial evacuation of a wounded soldier using a drone. This innovative approach to battlefield medicine demonstrates a significant advancement in utilizing unmanned aeria…
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Multi-agent RL method enhances UAV pathfinding in stochastic environments
Researchers have developed a novel multi-agent reinforcement learning approach for UAV pathfinding in stochastic environments. This method utilizes a centralized training with decentralized execution strategy, enhanced …
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China showcases AI-powered counterterrorism tech amid evolving threats
China is leveraging advanced technology, including AI-powered drone interceptors, to combat evolving terror threats. At the Great Wall-2026 International Forum on Counterterrorism in Beijing, the nation displayed its la…
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New FPV-CRASH dataset targets drone crash moment localization
Researchers have introduced FPV-CRASH, a new dataset designed for localizing crash moments in drone first-person-view videos. This dataset addresses a gap in existing resources, which often focus on different types of f…
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UAV Phenotyping Accelerates Field Pea Breeding in Iowa
Researchers have developed a method using Unmanned Aerial Vehicles (UAVs) to aid in field pea breeding programs in Iowa. The study evaluated 17 accessions and 7 Canadian varieties, finding that PI accession trials show …
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New CALM system uses multi-agent RL for cooperative aerial manipulation
Researchers have developed CALM (Cooperative Aerial Learned Manipulation), a novel decentralized controller designed for multiple unmanned aerial vehicles (UAVs) to cooperatively manipulate a shared payload. This system…
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Alkaline vs. Lithium-ion Batteries: Key Differences and Use Cases
Alkaline batteries are disposable and suitable for low-power devices like TV remotes and flashlights due to their low cost and long shelf life. Lithium-ion batteries, on the other hand, are rechargeable and ideal for hi…
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UAV-based maritime surveillance system uses graph learning for vessel tracking
Researchers have developed a new framework called AMGT for identifying and tracking vessels using unmanned aerial vehicles (UAVs) in maritime surveillance. This system addresses challenges like varied sensing modalities…
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New framework enhances UAV geo-localization using thermal and satellite imagery
Researchers have developed a new Structure-Aware Matching Framework (SAMF) to improve the geo-localization of unmanned aerial vehicles (UAVs) using thermal and satellite imagery. This framework addresses the challenges …
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New framework improves drone landings on ships in rough seas
Researchers have developed a new control framework for autonomous drone landings on moving ships in rough seas. This framework uses a pretrained model to explicitly predict the ship's attitude, which helps in selecting …
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New algorithm optimizes UAV-UGV coordination for aerial monitoring
Researchers have developed a new algorithm for coordinating unmanned aerial vehicles (UAVs) and unmanned ground vehicles (UGVs) in aerial monitoring missions. This algorithm addresses energy constraints for UAVs, which …
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New framework enables efficient cooperative sensing and communication for UAVs
Researchers have developed a new framework called SI-TokCom for cooperative integrated sensing and communication (ISAC) among unmanned aerial vehicles (UAVs). This framework uses token communications to allow UAVs to sh…
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MultiFly dataset offers multimodal aerial perception benchmarks
Researchers have introduced MultiFly, a novel real-world dataset designed for multimodal aerial perception using unmanned aerial vehicles (UAVs). The dataset features synchronized data across RGB, thermal, LiDAR, and ra…
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SearchWorld model enhances UAV object search with spatial imagination
Researchers have developed SearchWorld, a new world model designed to improve autonomous unmanned aerial vehicle (UAV) object search capabilities. This model integrates explicit spatial memory with value-guided imaginat…
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FCC proposes spectrum auction and drone use of 800MHz band
The US Federal Communications Commission (FCC) has proposed new rules to enhance wireless connectivity, focusing on direct-to-device (D2D) services. These proposals include auctioning 25 megahertz of mid-band spectrum f…
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New framework WareFly-VLA enables language-guided UAV control in warehouses
Researchers have introduced WareFly-VLA, a new framework and dataset designed for vision-language-action (VLA) models to control unmanned aerial vehicles (UAVs) in smart warehouses. The framework includes a dataset of h…