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New perception pipeline aims to automate mining rock-breakers

By PulseAugur Editorial · [1 sources] ·

Researchers have developed a real-time RGB-D perception pipeline to automate the operation of hydraulic impact hammers, commonly known as rock-breakers, in mining. This system integrates image-based instance segmentation with geometric point cloud processing to generate feasible rock-breaking poses and a 3D representation of the workspace. Operating at approximately 10 Hz with low latency, the pipeline is designed for embedded hardware and aims to improve efficiency in secondary reduction tasks, particularly in underground mining where teleoperation is currently standard. AI

IMPACT Could improve efficiency and safety in mining operations through automation.

RANK_REASON Paper published on arXiv detailing a new perception pipeline for robotics. [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 perception pipeline aims to automate mining rock-breakers

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Paper published on arXiv detailing a new perception pipeline for robotics. [lever_c_demoted from research: ic=1 ai=0.7]
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COVERAGE [1]

  1. arXiv cs.CV TIER_1 English(EN) · Mart\'in Gallegos, Francisco Leiva, Patricio Loncomilla, Michelle Cort\'es, Javier Ruiz-del-Solar ·

    A real-time RGB-D perception pipeline for autonomous impact hammers in mining: self-filtering, rock segmentation and rock-breaking poses generation

    arXiv:2607.20748v1 Announce Type: cross Abstract: Impact hammers, also known as rock-breakers, are essential machines in mining operations, where they perform secondary reduction. In underground mining, these machines are typically teleoperated, limiting operational efficiency. T…

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