unmanned ground vehicle
PulseAugur coverage of unmanned ground vehicle — every cluster mentioning unmanned ground vehicle across labs, papers, and developer communities, ranked by signal.
2 day(s) with sentiment data
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New benchmark and agent method advance air-ground cooperative object search
Researchers have introduced AGOS-Bench, a new benchmark designed to evaluate the cooperative capabilities of vision-language models (VLMs) in air-ground object search scenarios. This benchmark, along with a companion da…
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New AGC-VLN System Enhances Air-Ground Navigation Collaboration
Researchers have introduced AGC-VLN, a novel training-free baseline for air-ground collaborative Vision-and-Language Navigation (VLN). This system pairs an unmanned aerial vehicle (UAV) with a global bird's-eye view and…
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Drone and Ground Vehicle Navigation System for Snow-Covered Terrain
Researchers have developed a novel navigation framework for drones and ground vehicles operating in challenging, snow-covered terrains. This system utilizes an efficient U-Net architecture for real-time road segmentatio…
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SULAND v2 dataset refines landmine detection benchmark with improved annotations
Researchers have released SULAND v2, an improved dataset for training object detection models to identify surface landmines from RGB imagery captured by unmanned aerial and ground vehicles. The original SULAND dataset c…
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New framework improves UAV-UGV heading prediction reliability
This paper introduces a confidence-gated framework for vision-based heading prediction in UAV-UGV cooperative systems. The proposed method uses bounding-box area and heading variation as reliability proxies to determine…
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RGB-based framework enables aerial drones to identify robot deployment zones
Researchers have developed a new framework for analyzing traversability using only RGB camera data, enabling aerial drones to identify optimal deployment locations for ground robots in confined spaces. This system recon…
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New benchmarks assess MLLM collaboration and spatial reasoning in embodied AI
Researchers have introduced two new benchmarks, MECoBench and AirGroundBench, to evaluate the collaborative and spatial reasoning capabilities of multimodal large language models (MLLMs) in embodied environments. MECoBe…
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FLISP enables cooperative tunnel inspection with synchronized UGV-UAV path planning
Researchers have developed FLISP, a novel path planning framework designed for cooperative inspection missions involving ground and aerial robots in challenging environments like hydropower tunnels. This mapless system …
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Paper proposes dynamic UGV-UAV path planning for uncertain environments
This paper introduces a cooperative path planning strategy for ground and aerial vehicles operating in uncertain environments. The system uses unmanned aerial vehicles (UAVs) to dynamically inspect road networks and ide…
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UGV-UAVs plan cooperative paths in uncertain environments for disaster response
Researchers have developed a new framework for cooperative path planning between unmanned ground vehicles (UGVs) and unmanned aerial vehicles (UAVs) in uncertain environments. This system is designed for scenarios like …