mlsanityData to 7 Oct 2026

Hydra-Multi: Collaborative Online Construction of 3D Scene Graphs with Multi-Robot Teams

arXiv 2304.13487 ↗First posted 26 Apr 2023cs.ROcited by 21

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Abstract (arXiv)

3D scene graphs have recently emerged as an expressive high-level map representation that describes a 3D environment as a layered graph where nodes represent spatial concepts at multiple levels of abstraction (e.g., objects, rooms, buildings) and edges represent relations between concepts (e.g., inclusion, adjacency). This paper describes Hydra-Multi, the first multi-robot spatial perception system capable of constructing a multi-robot 3D scene graph online from sensor data collected by robots in a team. In particular, we develop a centralized system capable of constructing a joint 3D scene graph by taking incremental inputs from multiple robots, effectively finding the relative transforms between the robots' frames, and incorporating loop closure detections to correctly reconcile the scene graph nodes from different robots. We evaluate Hydra-Multi on simulated and real scenarios and show it is able to reconstruct accurate 3D scene graphs online. We also demonstrate Hydra-Multi's capability of supporting heterogeneous teams by fusing different map representations built by robots with different sensor suites.

Key facts. Cited by 21 papers in the map (data through 7 Oct 2026). First posted on arXiv 26 Apr 2023.

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Citing papers per year: 2024: 4; 2025: 11; 2026: 6.

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  1. 2025What Is The Best 3D Scene Representation for Robotics? From Geometric to Foundation Modelscited by 29
  2. 2024EMOS: Embodiment-aware Heterogeneous Multi-robot Operating System with LLM Agentscited by 24
  3. 2024General Place Recognition Survey: Towards Real-World Autonomycited by 23
  4. 2025Enter the Mind Palace: Reasoning and Planning for Long-term Active Embodied Question Answeringcited by 12
  5. 2025Air-Ground Collaboration for Language-Specified Missions in Unknown Environmentscited by 11
  6. 2025GaussianGraph: 3D Gaussian-based Scene Graph Generation for Open-world Scene Understandingcited by 8
  7. 2025SG-Reg: Generalizable and Efficient Scene Graph Registrationcited by 8
  8. 2025KeySG: Hierarchical Keyframe-Based 3D Scene Graphscited by 8
  9. 2025Language-Grounded Hierarchical Planning and Execution with Multi-Robot 3D Scene Graphscited by 6
  10. 2025Aion: Towards Hierarchical 4D Scene Graphs with Temporal Flow Dynamicscited by 5
  11. 20263D Scene Graphs: Open Challenges and Future Directionscited by 4
  12. 2026Pandora: Articulated 3D Scene Graphs from Egocentric Visioncited by 3
9 more
  1. 2024Self-Localized Collaborative Perceptioncited by 2
  2. 2024OpenObject-NAV: Open-Vocabulary Object-Oriented Navigation Based on Dynamic Carrier-Relationship Scene Graphcited by 2
  3. 2026Rheos: Modelling Continuous Motion Dynamics in Hierarchical 3D Scene Graphscited by 2
  4. 2025Map Prediction and Generative Entropy for Multi-Agent Explorationcited by 1
  5. 2025SG-Tailor: Inter-Object Commonsense Relationship Reasoning for Scene Graph Manipulationcited by 1
  6. 2025Gaussian Semantic Field for One-shot LiDAR Global Localizationcited by 0
  7. 2026Semantic Enrichment of CAD-Based Industrial Environments via Scene Graphs for Simulation and Reasoningcited by 0
  8. 2026MA3DSG: Multi-Agent 3D Scene Graph Generation for Large-Scale Indoor Environmentscited by 0
  9. 2026OP3DSG: Open-Vocabulary Part-Aware 3D Scene Graph Generation for Real-World Environmentscited by 0