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About this paper
Zhiqin Yang, Chenxin Li, Xiaomeng Hu, Yibin Liu, Weidong Huang, Jiankai Sun, Haitao Li, Zijian Wu and 25 more
RobotWorld evaluates whether tool-using AI agents can complete robot tasks across five domains. It benchmarks 84 tasks from 20 projects, using task-specific interfaces, interaction budgets, and executable success checks. The authors analyze execution traces to examine how perception, computation, and feedback-driven action compose. GPT-6 Astra completes 16/84 tasks, the highest result. The benchmark is simulation-only, with one episode per model-task pair.
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