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New DARP dataset enhances multi-view robotic perception

By PulseAugur Editorial · [1 sources] ·

Researchers have introduced DARP, a new dataset designed for multi-view robotic perception. This dataset utilizes dual-arm manipulators equipped with Intel RealSense sensors to capture synchronized RGB, depth, and infrared data. DARP aims to facilitate advancements in multi-view reconstruction, collaborative robotic perception, and multimodal fusion by providing a reusable resource with detailed calibration and object metadata. AI

IMPACT This dataset could accelerate research in multi-view reconstruction and collaborative robotics by providing a standardized resource for training and evaluation.

RANK_REASON The cluster describes a new dataset for robotic perception, which falls under research. [lever_c_demoted from research: ic=1 ai=0.7]

Read on arXiv cs.CV →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

New DARP dataset enhances multi-view robotic perception

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The cluster describes a new dataset for robotic perception, which falls under research. [lever_c_demoted from research: ic=1 ai=0.7]
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COVERAGE [1]

  1. arXiv cs.CV TIER_1 English(EN) · Manish Kansana, Mohammed Yusuf Mujawar, Sudip Mittal, Shahram Rahimi, Noorbakhsh Amiri Golilarz ·

    DARP: A Calibrated Dual-Arm RGB-D-IR Dataset for Multi-View Robotic Perception

    arXiv:2608.31002v1 Announce Type: cross Abstract: Robotic perception from a single viewpoint is often limited by self-occlusion and incomplete surface visibility. This paper presents DARP(Dual-Arm Robotic Perception) https://doi.org/10.21227/rmv3-be47, a calibrated dual-arm RGB-D…

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