arXiv Machine Learning
HumynexSurg-1: A Curated Expert Liposuction Dataset
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YUBI: Yielding Universal Bidigital Interface for Bimanual Dexterous Manipulation at Scale
arXiv:2606. 10244v1 Announce Type: cross Abstract: We introduce Yielding Universal Bidigital Interface (YUBI), a finger-aligned gripper designed to enable intuitive, ergonomic, and scalable data collection for bimanual dexterous manipulation.
arXiv AI
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DeepInsight II: One Trace from Benchmark to Robot
arXiv:2608. 16556v1 Announce Type: new Abstract: Across a Physical AI stack, evaluation maturity is inversely aligned with deployment risk: foundation models enjoy mature, standardized harnesses, while the embodied layers on which deployment actually turns remain fragmented across benchmark-specific simulators, embodiments, and interfaces.
arXiv AI
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Open-H-Embodiment: A Large-Scale Dataset for Enabling Foundation Models in Medical Robotics
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arXiv Machine Learning
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MiDAS: A Multimodal Data Acquisition System and Dataset for Robot-Assisted Minimally Invasive Surgery
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Hugging Face Trending Papers
Sep 28
One Sensor, Whole Body - 3D Body Pose from a Single Consumer Earbud IMU
The study investigates how well a single consumer earbud IMU can estimate 3D body pose and whether adding foot IMUs improves accuracy. Using a multimodal capture pipeline with RGB‑D video, an AirPods head IMU, and Striv insole IMUs, the authors benchmark pose estimation across various motions and train recurrent models (IMUPoser and MobilePoser). Results show that a head IMU alone achieves 79.0 mm rigid‑MPJPE and 0.809 macro‑F1 for foot contact, while adding foot IMUs does not significantly improve pose and can even degrade performance due to insole orientation errors.
arXiv Machine Learning
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Humanoid Everyday: A Comprehensive Robotic Dataset for Open-World Humanoid Manipulation
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