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HARMONIC: A Multimodal Dataset of Assistive Human-Robot Collaboration

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arxiv 1807.11154 v2 pith:Z7PEA6UO submitted 2018-07-30 cs.RO cs.HC

classification cs.ROcs.HC
keywords datahumanvideorobotassistivemultimodalautonomycollaboration
verification ladder T0 review T1 audit T2 compute T3 formal
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We present the Human And Robot Multimodal Observations of Natural Interactive Collaboration (HARMONIC) data set. This is a large multimodal data set of human interactions with a robotic arm in a shared autonomy setting designed to imitate assistive eating. The data set provides human, robot, and environmental data views of twenty-four different people engaged in an assistive eating task with a 6 degree-of-freedom (DOF) robot arm. From each participant, we recorded video of both eyes, egocentric video from a head-mounted camera, joystick commands, electromyography from the forearm used to operate the joystick, third person stereo video, and the joint positions of the 6 DOF robot arm. Also included are several features that come as a direct result of these recordings, such as eye gaze projected onto the egocentric video, body pose, hand pose, and facial keypoints. These data streams were collected specifically because they have been shown to be closely related to human mental states and intention. This data set could be of interest to researchers studying intention prediction, human mental state modeling, and shared autonomy. Data streams are provided in a variety of formats such as video and human-readable CSV and YAML files.

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  1. Casper: Inferring Diverse Intents for Assistive Teleoperation with Vision Language Models

    cs.RO 2025-06 conditional novelty 6.0 of 10

    A VLM-powered assistive teleoperation system infers diverse user intents from teleoperation snippets and executes them with a skill library, outperforming baselines on real-world mobile manipulation tasks.

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