AeroManip-VLA: Scalable Vision-Language-Action Learning for Aerial Manipulation with RL-Generated Demonstrations
This work presents AeroManip-VLA, a scalable benchmark for aerial VLA data generation and policy evaluation, and evaluates a range of imitation learning and VLA baselines across different task settings, revealing their performance characteristics and failure modes.
Rui Huang, Yan-Lin Mu, Li-Dong Li et al.
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