AES: Autonomous Excavator System for Real-World and Hazardous Environments

Dinesh Manocha; Feixiang Lu; Jinxin Zhao; Liangjun Zhang; Lingfeng Qian; Liyang Wang; Pinxin Long; Xibin Song

AES: Autonomous Excavator System for Real-World and Hazardous Environments

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arxiv 2011.04848 v1 pith:Y7D4XRAD submitted 2020-11-10 cs.RO

Jinxin Zhao , Pinxin Long , Liyang Wang , Lingfeng Qian , Feixiang Lu , Xibin Song , Dinesh Manocha , Liangjun Zhang This is my paper

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keywords environmentsexcavatorsautonomousbillionexcavatorhazardousinjuriesreal-world

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Excavators are widely used for material-handling applications in unstructured environments, including mining and construction. The size of the global market of excavators is 44.12 Billion USD in 2018 and is predicted to grow to 63.14 Billion USD by 2026. Operating excavators in a real-world environment can be challenging due to extreme conditions and rock sliding, ground collapse, or exceeding dust. Multiple fatalities and injuries occur each year during excavations. An autonomous excavator that can substitute human operators in these hazardous environments would substantially lower the number of injuries and can improve the overall productivity.

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