IndustryEQA: Pushing the Frontiers of Embodied Question Answering in Industrial Scenarios
On the map: LLM reasoning → Spatial and embodied reasoning
Abstract (arXiv)
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 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 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. Benchmark and codes are available.
Key facts. Cited by 13 papers in the map (data through 14 Oct 2026). Placed in Spatial and embodied reasoning, one of 17 directions in LLM reasoning. Builds on 31 of its 43 references that are in the map. First posted on arXiv 27 May 2025.
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Citing papers per year: 2025: 4; 2026: 9.
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- 2025RynnEC: Bringing MLLMs into Embodied Worldcited by 11
- 2025IndustryNav: Exploring Spatial Reasoning of Embodied Agents in Dynamic Industrial Navigationcited by 5
- 2025Vision to Geometry: 3D Spatial Memory for Sequential Embodied MLLM Reasoning and Explorationcited by 5
- 2025BridgeEQA: Virtual Embodied Agents for Real Bridge Inspectionscited by 2
- 2026Where Not to Learn: Prior-Aligned Training with Subset-based Attribution Constraintscited by 2
- 2026ActiveFly-Bench: Aligning Embodied Question Answering with Vision-Language-Action for Aerial Embodied Perceptioncited by 2
- 2026Enginuity: A Dataset and Benchmark for Vision-Language Understanding of Engineering Diagramscited by 1
- 2026ScoutVLA: UAV-Centric Active Perception via a Dual-Expert VLA Model for Open-World Embodied Question Answeringcited by 1
- 2026SteelBench: Evaluating Vision-Language Models in Real-World Industrial Environmentscited by 1
- 2026IndustryAssetEQA: A Neurosymbolic Operational Intelligence System for Embodied Question Answering in Industrial Asset Maintenancecited by 0
- 2026SafeSceneReason: A Multimodal Reasoning Benchmark Connecting Industrial Hazards with Accident Knowledgecited by 0
- 2026LogiScope-VQA: Benchmarking Vision-Language Models for Logistics Hazard Identification in Industrial Scenarioscited by 0
- 2026ADAPT: Audio-Depth Action Planning with Transition-Aware Rewards for Lights-Out Industrial Navigation11 Oct 2026
- 2026LogiScope-VQA: Benchmarking Vision-Language Models for Logistics Hazard Identification in Industrial Scenarios9 Sep 2026
- 2026SafeSceneReason: A Multimodal Reasoning Benchmark Connecting Industrial Hazards with Accident Knowledge10 Aug 2026
- 2026ActiveFly-Bench: Aligning Embodied Question Answering with Vision-Language-Action for Aerial Embodied Perception11 Jul 2026
- 2026SteelBench: Evaluating Vision-Language Models in Real-World Industrial Environments6 Jul 2026
- 2026ScoutVLA: UAV-Centric Active Perception via a Dual-Expert VLA Model for Open-World Embodied Question Answering9 Jun 2026
- 2026Enginuity: A Dataset and Benchmark for Vision-Language Understanding of Engineering Diagrams2 Jun 2026
- 2026IndustryAssetEQA: A Neurosymbolic Operational Intelligence System for Embodied Question Answering in Industrial Asset Maintenance25 Apr 2026
- 2026Where Not to Learn: Prior-Aligned Training with Subset-based Attribution Constraints30 Jan 2026
- 2025Vision to Geometry: 3D Spatial Memory for Sequential Embodied MLLM Reasoning and Exploration2 Dec 2025
- 2025IndustryNav: Exploring Spatial Reasoning of Embodied Agents in Dynamic Industrial Navigation21 Nov 2025
- 2025BridgeEQA: Virtual Embodied Agents for Real Bridge Inspections16 Nov 2025
1 more
- 2025RynnEC: Bringing MLLMs into Embodied World19 Aug 2025
- 2025IndustryNav: Exploring Spatial Reasoning of Embodied Agents in Dynamic Industrial Navigationcited by 5
- 2025Vision to Geometry: 3D Spatial Memory for Sequential Embodied MLLM Reasoning and Explorationcited by 5
- 2026SafeSceneReason: A Multimodal Reasoning Benchmark Connecting Industrial Hazards with Accident Knowledgecited by 0
- 2026LogiScope-VQA: Benchmarking Vision-Language Models for Logistics Hazard Identification in Industrial Scenarioscited by 0
- 2026LogiScope-VQA: Benchmarking Vision-Language Models for Logistics Hazard Identification in Industrial Scenarios9 Sep 2026
- 2026SafeSceneReason: A Multimodal Reasoning Benchmark Connecting Industrial Hazards with Accident Knowledge10 Aug 2026
- 2025Vision to Geometry: 3D Spatial Memory for Sequential Embodied MLLM Reasoning and Exploration2 Dec 2025
- 2025IndustryNav: Exploring Spatial Reasoning of Embodied Agents in Dynamic Industrial Navigation21 Nov 2025
- 2026Where Not to Learn: Prior-Aligned Training with Subset-based Attribution Constraintscited by 2
- 2026ActiveFly-Bench: Aligning Embodied Question Answering with Vision-Language-Action for Aerial Embodied Perceptioncited by 2
- 2026ScoutVLA: UAV-Centric Active Perception via a Dual-Expert VLA Model for Open-World Embodied Question Answeringcited by 1
- 2026IndustryAssetEQA: A Neurosymbolic Operational Intelligence System for Embodied Question Answering in Industrial Asset Maintenancecited by 0
- 2026ActiveFly-Bench: Aligning Embodied Question Answering with Vision-Language-Action for Aerial Embodied Perception11 Jul 2026
- 2026ScoutVLA: UAV-Centric Active Perception via a Dual-Expert VLA Model for Open-World Embodied Question Answering9 Jun 2026
- 2026IndustryAssetEQA: A Neurosymbolic Operational Intelligence System for Embodied Question Answering in Industrial Asset Maintenance25 Apr 2026
- 2026Where Not to Learn: Prior-Aligned Training with Subset-based Attribution Constraints30 Jan 2026
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