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PULSE: A Synchronized Five-Modality Dataset for Sensorimotor Coordination in Long-Horizon Daily Activities

NeurIPS 2026 · Vision-language and multimodal › Robot action and navigation · approach: Memory and subgoal-based manipulation

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Introduces PULSE, a synchronized five-modality dataset for long-horizon daily activities aimed at benchmarking temporal cross-modal sensorimotor learning.

Problem

Existing human-activity datasets cover only one or two sensor channels and focus on short, isolated actions, leaving long-duration compositional tasks unsupported for temporal cross-modal sensorimotor learning.

Approach

A synchronized five-modality recording of long-duration daily activities (physiological and sensorimotor channels) intended as a benchmark for cross-modal temporal learning over compositional tasks.

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