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cs.RO2026
Rethink Before You Execute: Adaptive Execution for World Action Models
Feng Ye, Yiming Zhao, Yong Yu +5
World Action Models (WAMs) jointly predict future actions and the evolution of the environment. At each inference, a WAM generates a chunk of actions and the robot executes a fixed…
cs.RO2026
RoamFlow: Reinforcement-Aligned One-Step Action MeanFlow Policy for Image-Goal Navigation
Zixuan Zhang, Yuqi Chen, Junjie Gao +4
Image-goal navigation is a key challenge in embodied robotics, where an agent must reach a target specified solely by a goal image. While existing reinforcement learning approaches…
cs.RO2026
Flying to Image-Specified Objects: 3D Quadrotor Navigation via Cross-Graph Memory and Viewpoint Planning
Junjie Gao, Yuqi Chen, Yongzhou Pan +3
Instance-Specific Image-Goal Navigation (InstanceImageNav) requires a robot to navigate toward the exact object instance depicted in a query image. Extending this task to quadrotor…