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

Paper recorded by Signals 4 on 2026-08-31 in cs.CV. Abstract reproduced from arXiv; link to the original below.

Published 2026-08-31 on arXiv · recorded by Signals 4 on 2026-09-01

Category: cs.CV · 计算机视觉 · first seen 2026-09-01

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-IR dataset for object-centered robotic perception using two independently moving eye-in-hand manipulators positioned on opposite sides of a shared tabletop workspace. Ea

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#205 most recent of 237 cs.CV papers we have recorded · ↑ newer: From Intent to Evidence: Policy-Steered Multi-Strategy Retrieval for L · ↓ older: Multi-View Reflective Surface Inspection via Semantic-Saliency Cross-V
Cite this page: DARP: A Calibrated Dual-Arm RGB-D-IR Dataset for Multi-View Robotic Perception: the #205 most recent of 237 cs.CV papers we have recorded (as of 2026-08-31). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/darp-a-calibrated-dual-arm-rgb-d-ir-dataset-for-multi-view-robotic-perception.html
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