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cs.RO2026
Revision, Not Restart: Revisable Visual Plans for Closed-Loop World-Action Models
Pengyiang Liu, Junbo Niu, Wenhao Zheng +5
World-action models use predicted visual futures to condition robot actions, yet execution feedback can invalidate parts of a prediction while leaving its task structure useful. We…
cs.RO2025
UAV-Flow Colosseo: A Real-World Benchmark for Flying-on-a-Word UAV Imitation Learning
Xiangyu Wang, Donglin Yang, Yue Liao +5
Unmanned Aerial Vehicles (UAVs) are evolving into language-interactive platforms, enabling more intuitive forms of human-drone interaction. While prior works have primarily focused…