Hoi! - A Multimodal Dataset for Force-Grounded, Cross-View Articulated Manipulation
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Abstract (arXiv)
We present a dataset for force-grounded, cross-view articulated manipulation that couples what is seen with what is done and what is felt during real human interaction. The dataset contains 3048 sequences across 381 articulated objects in 38 environments. Each object is operated in four embodiments - (i) human hand, (ii) human hand with a wrist-mounted camera, (iii) handheld UMI gripper, and (iv) a custom Hoi! gripper, where the tool embodiment provides end-effector forces and tactile sensing. Our dataset offers a holistic view of interaction understanding from video, enabling researchers to evaluate how well methods transfer between human and robotic viewpoints, but also investigate underexplored modalities such as interaction forces. The Project Website can be found at https://timengelbracht.github.io/Hoi-Dataset-Website/.
Key facts. Cited by 10 papers in the map (data through 14 Oct 2026). First posted on arXiv 4 Dec 2025.
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Citing papers per year: 2026: 10.
10 papers.
- 2026World Action Models: The Next Frontier in Embodied AIcited by 50
- 2026World Model for Robot Learning: A Comprehensive Surveycited by 46
- 2026Tactile-based Multimodal Fusion in Embodied Intelligence: A Survey of Vision, Language, and Contact-Driven Paradigmscited by 2
- 2026Grounding Generative Policies in Physics: Optimization-Guided Diffusion for Robot Controlcited by 2
- 2026EgoFun3D: Modeling Interactive Objects from Egocentric Videos using Function Templatescited by 1
- 2026FAMOS: Feed-Forward 3D Articulation Modeling from Sparse Observationscited by 0
- 2026ForceTwin: Physics-informed Digital Twins for Robotic Manipulation from Instrumented Human Interactioncited by 0
- 2026ChronoGraph: Functional 4D Scene Graphs with Vision-Language Models for Interaction Understanding and Grounded Planningcited by 0
- 2026ROMA: LLM System for Real-World Object-Centric Multi-Sensory Active Perceptioncited by 0
- 2026Towards Physically Grounded Articulated 3D Assets: A Multi-Agent Pipeline and Benchmarkcited by 0
- 2026Towards Physically Grounded Articulated 3D Assets: A Multi-Agent Pipeline and Benchmark9 Oct 2026
- 2026ROMA: LLM System for Real-World Object-Centric Multi-Sensory Active Perception3 Oct 2026
- 2026ChronoGraph: Functional 4D Scene Graphs with Vision-Language Models for Interaction Understanding and Grounded Planning30 Sep 2026
- 2026ForceTwin: Physics-informed Digital Twins for Robotic Manipulation from Instrumented Human Interaction18 Sep 2026
- 2026FAMOS: Feed-Forward 3D Articulation Modeling from Sparse Observations17 Sep 2026
- 2026Grounding Generative Policies in Physics: Optimization-Guided Diffusion for Robot Control23 Jun 2026
- 2026Tactile-based Multimodal Fusion in Embodied Intelligence: A Survey of Vision, Language, and Contact-Driven Paradigms17 May 2026
- 2026World Action Models: The Next Frontier in Embodied AI12 May 2026
- 2026World Model for Robot Learning: A Comprehensive Survey30 Apr 2026
- 2026EgoFun3D: Modeling Interactive Objects from Egocentric Videos using Function Templates13 Apr 2026