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Achieving 89.4% success in single-view embodied visual tracking, ReferTrack outperforms multi-camera systems by grounding tracking decisions in real-time visual data.
CosFly-VLA slashes tracking errors by over 34% in complex urban environments, even when targets are occluded.
UAV-VLN is still far from real-world deployment due to challenges like the sim-to-real gap and linguistic ambiguity, highlighting opportunities for research in areas like multi-agent coordination.
Finally, a single, open-source platform lets you train and test coordinated air and ground robots in photorealistic urban environments with synchronized physics and sensors.
