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According to media reports, Zhiyuan officially opened the fourth issue of AGIBOTWORLD2026 “Embodied Reasoning” — the first real-scene PhysicalAgent data set. For the first time, the focus of the data set task design in this issue has changed from “operation difficulty” to “decision difficulty,” integrating goal understanding, process memory, and action execution in actual tasks. It covers nine types of logical reasoning scenarios, artificially constructs various reality states and execution branches around the same task, and also provides high-level question and answer and low-level action trajectories to support collaborative training from task decision making to actual machine execution.
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According to media reports, Zhiyuan officially opened the fourth issue of AGIBOTWORLD2026 “Embodied Reasoning” — the first real-scene PhysicalAgent data set. For the first time, the focus of the data set task design in this issue has changed from “operation difficulty” to “decision difficulty,” integrating goal understanding, process memory, and action execution in actual tasks. It covers nine types of logical reasoning scenarios, artificially constructs various reality states and execution branches around the same task, and also provides high-level question and answer and low-level action trajectories to support collaborative training from task decision making to actual machine execution.
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