HOI-Retarget: Contact-Centric Retargeting for Human-Object Interaction

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Summary

HOI-Retarget introduces a contact-centric retargeting method for transferring human-object interactions to humanoid robots, enabling large-scale motion data generation from single demonstrations and monocular video contacts.

Learning from demonstration (LfD) has enabled humanoid robots to acquire diverse whole-body skills, but extending this paradigm to human-object interaction (HOI) is limited by the availability of robot-compatible interaction references. We present HOI-Retarget, a contact-centric retargeting method that transfers HOI onto a humanoid robot for large-scale motion-data generation. Its windowed trajectory optimization uses every labeled contact as a target in the object frame, balancing body tracking, foot support and smoothness under the robot's kinematic limits. The method can augment a single demonstration across object sizes, absorb contacts reconstructed from monocular video, and extend to several robots manipulating one object. We publicly release the code and the retargeted motion dataset.
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Paper page - HOI-Retarget: Contact-Centric Retargeting for Human-Object Interaction

Source: https://huggingface.co/papers/2609.34674

Abstract

Learningfromdemonstration(LfD)hasenabledhumanoidrobotstoacquirediversewhole-bodyskills,butextendingthisparadigmtohuman-objectinteraction(HOI)islimitedbytheavailabilityofrobot-compatibleinteractionreferences.WepresentHOI-Retarget,acontact-centricretargetingmethodthattransfersHOIontoahumanoidrobotforlarge-scalemotion-datageneration.Itswindowedtrajectoryoptimizationuseseverylabeledcontactasatargetintheobjectframe,balancingbodytracking,footsupportandsmoothnessundertherobot’skinematiclimits.Themethodcanaugmentasingledemonstrationacrossobjectsizes,absorbcontactsreconstructedfrommonocularvideo,andextendtoseveralrobotsmanipulatingoneobject.Wepubliclyreleasethecodeandtheretargetedmotiondataset.

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