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This work presents an efficient, robust, and general autonomous system architecture that enables excavators of various sizes to perform material loading tasks in the real world autonomously, said Dr. Liangjun Zhang, corresponding author and the Head of Baidu Research Robotics and Auto-Driving Lab. A Scientific Approach to Robotics Excavators are vital for infrastructure construction, mining, and rescue applications. The global market size for excavators was $44.12 billion in 2018 and is expected to grow to $63.14 billion by 2026. Given this projected market increase, construction companies worldwide are facing hiring shortages for skilled heavy machinery operators, particularly excavators. Additionally, COVID-19 continues to exacerbate the labor shortage crisis. Another contributing factor is the hazardous and toxic work environments that can impact the health and safety of on-site human operators, including cave-ins, ground collapses, or other excavation accidents that cause ap

Haifeng wangDinesh manochaLiangjun zhangHead of baidu research roboticsCollege parkUniversity of marylandBaidu researchUniversity professor of computer scienceTeam effort for testingBaidu research roboticsAuto driving labScientific approachDistinguished university professorComputer scienceComputer engineeringதினேஷ் மனோச்சா