An autonomous excavator system for material loading tasks

Author:

Zhang Liangjun1ORCID,Zhao Jinxin1ORCID,Long Pinxin2,Wang Liyang1ORCID,Qian Lingfeng2ORCID,Lu Feixiang2ORCID,Song Xibin2ORCID,Manocha Dinesh3ORCID

Affiliation:

1. Baidu USA, Sunnyvale, CA 94089, USA.

2. Baidu Research Institute, Beijing 100085, China.

3. University of Maryland, College Park, MD 20742, USA.

Abstract

An autonomous excavator system (AES) operates in the real world over long time periods.

Publisher

American Association for the Advancement of Science (AAAS)

Subject

Artificial Intelligence,Control and Optimization,Computer Science Applications,Mechanical Engineering

Reference38 articles.

1. Fortune Business Insights Excavators market size share and industry analysis by type (mini/compact excavator crawler excavator wheeled excavator other excavator) by end-use industry (construction forestry agriculture mining others) and regional forecast 2019–2026 (2019); www.fortunebusinessinsights.com/industry-reports/excavators-market-100861.

2. Grand View Research Excavator market size share trends analysis report by product (crawler wheeled mini/compact) by application (construction) by region competitive landscape and segment forecasts 2018–2025 (2018); www.grandviewresearch.com/industry-analysis/excavators-market.

3. IndustryResearch Global Excavator Market Report (2020);https://industryresearch.co/-global-excavator-market-15473051.

4. S. Afanuh M. Gillen T. Lentz Preventing worker deaths from trench cave-ins;https://cdc.gov/niosh/docs/wp-solutions/2011-208/pdfs/2011-208.pdf?id=10.26616/NIOSHPUB2011208.

5. Occupational Safety and Health Administration Excavation: Hazard recognition in trenching and shoring. (OSHA technical manual 1999).

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