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Nanyang Technological University, Singapore
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Dynamic affordance trajectories can significantly improve robotic manipulation success rates, achieving 70% on challenging benchmarks.
Disentangling dynamics from visual synthesis allows robotic systems to generate high-quality videos up to four times faster without losing critical interaction details.
DockAnywhere lets you train mobile manipulation policies that generalize to new viewpoints from a single demonstration, sidestepping the costly data collection typically needed for robust visuomotor control.
Strategic recovery from failures is key to deploying robots for complex assembly tasks in the real world.
