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Researchers develop technique to give robots “embodied reasoning” abilities
Embodied Chain-of-Thought Reasoning is a technique that enables robots to accomplish complex and novel tasks in new environments.
To create the training examples for ECoT, they ran their data-generation pipeline on the Bridge v2 dataset, which contains more than tens of thousands of trajectories and object interactions on WidowX, a robot arm with six degrees of freedom. To assess the generalization capabilities of ECoT, the researchers designed a set of tasks that require the robot to handle new objects, scenes, viewpoints and instructions that were not present in the training data. “Instead of needing involved teleoperation equipment to provide direct robot action feedback… humans can now simply correct the policy’s behavior by modifying its reasoning chains via natural language feedback.”
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