IndustryEQA: Pushing the Frontiers of Embodied Question Answering in Industrial Scenarios

Tianlong Chen ( University of North Carolina at Chapel Hill) · Yifan Li (Renmin University of China) · Zhen Tan (Arizona State University) · Yuhang Chen (SUN YAT-SEN UNIVERSITY) · Anh Dao (Michigan State University) · Lichi Li (Cisco Systems, Inc.) · Zhongyi Cai (Michigan State University) · Yu Kong (MICHIGAN STATE UNIVERSITY)
attribute recognitionbaseline modelsdynamic human agentsembodied question answeringepisodic memoryequipment safetyevaluation frameworkhazardous situationshuman safetyindustrial applicationsnvidia isaac simobject recognitionreasoning evaluationsafety-critical environmentsspatial understandingtemporal understanding

Existing Embodied Question Answering (EQA) benchmarks primarily focus on household environments, often overlooking safety-critical aspects and reasoning processes pertinent to industrial settings. This drawback limits the evaluation of agent readiness for real-world industrial applications. To bridge this, we introduce IndustryEQA, the first benchmark dedicated to evaluating embodied agent capabilities within safety-critical industrial warehouse scenarios. Built upon the NVIDIA Isaac Sim platform, IndustryEQA provides high-fidelity episodic memory videos featuring diverse industrial assets, dynamic human agents, and carefully designed hazardous situations inspired by real-world safety guidelines. The benchmark includes rich annotations covering six categories: equipment safety, human safety, object recognition, attribute recognition, temporal understanding, and spatial understanding. Besides, it also provides extra reasoning evaluation based on these categories. Specifically, it comprises 971 question-answer pairs generated from small warehouse scenarios and 373 pairs from large ones, incorporating scenarios with and without human. We further propose a comprehensive evaluation framework, including various baseline models, to assess their general perception and reasoning abilities in industrial environments. IndustryEQA aims to steer EQA research towards developing more robust, safety-aware, and practically applicable embodied agents for complex industrial environments.