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Survey details physics simulators for embodied AI robotics

A new survey paper explores the use of physics simulators in embodied AI research, focusing on their role in bridging the sim-to-real gap for robotic navigation and manipulation tasks. The paper analyzes simulator properties, features for these tasks, and hardware requirements. It also provides a resource guide for researchers, including benchmark datasets, metrics, simulation platforms, and methods to aid in tool selection while considering hardware constraints. AI

RANK_REASON The cluster contains a survey paper on a research topic. [lever_c_demoted from research: ic=1 ai=1.0]

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COVERAGE [1]

  1. arXiv cs.AI TIER_1 English(EN) · Lik Hang Kenny Wong, Xueyang Kang, Kaixin Bai, Jianwei Zhang ·

    A Survey of Robotic Navigation and Manipulation with Physics Simulators in the Era of Embodied AI

    arXiv:2505.01458v2 Announce Type: replace-cross Abstract: Navigation and manipulation are core capabilities in Embodied AI, but training agents to perform them directly in the real world is costly, time-consuming, and unsafe. Therefore, sim-to-real transfer has emerged as a key a…