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What Data Defines The Start And Goal For Robot Planning?
Have you ever wondered how a robot knows exactly where to start and where to go to complete a task? This video delves into the crucial data that defines a robot's beginning and end points for successful planning. Discover the fundamental concepts behind robot navigation and task execution: The start and goal for robot planning are defined by ...
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Domain Randomization (DR) is a key component of the data augmentation pipeline at Axis Robotics.By applying DR, we are able to scale verified, high-quality human trajectories by 10x to 100x. During training, we systematically introduce variances in environmental parameters. This prevents the model from relying on spurious visual correlations. The objective is to ensure the policy learns rather than overfitting.To demonstrate the necessity and effectiveness of this approach, we evaluated both DR
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x.comAxis Robotics
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