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WAVE-Go, an image-goal navigation framework that separates world-action prediction from interruptible command execution, and its executor adaptively selects an action prefix and cancels pending commands when updated observations invalidate execution, support adaptive, interruptible execution as a means of balancing navigation performance and planning overhead.
Achieving a remarkable 3.18% D1-all accuracy on KITTI 2015, WAVE-Stereo redefines stereo matching by seamlessly integrating correlation and warping cues for enhanced performance.