首页|Researchers from China University of Mining and Technology Describe Findings in Robotics (Trajectory Planning and Control of Large Robotic Excavators Based On I nclination-displacement Mapping)
Researchers from China University of Mining and Technology Describe Findings in Robotics (Trajectory Planning and Control of Large Robotic Excavators Based On I nclination-displacement Mapping)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-New research on Robotics is the subjec t of a report. According to news reporting originating from Xuzhou, People's Rep ublic of China, by NewsRx correspondents, research stated, "This paper proposes a trajectory planning and control method for heavy-duty manipulators based on in clinationdisplacement mapping. In this method, inclination sensors are employed to detect the excavator's orientation." Funders for this research include National Natural Science Foundation of China ( NSFC), Natural Science Foundation of Jiangsu Province, Priority Academic Program Development of Jiangsu Higher Education Institutions. Our news editors obtained a quote from the research from the China University of Mining and Technology, "By establishing a mapping relationship between joint in clination and cylinder displacement, the cylinder displacement is indirectly der ived. Subsequently, considering the typical excavation operation process, the sp atial trajectory of the excavator bucket is planned. The displacement of the dri ving cylinder is determined using kinematic inverse solutions and cubic polynomi als. The cylinder displacement is then controlled using a position-velocity (PV) strategy. This method is tested on a 95-ton large excavator, and the results de monstrate several advantages, including easy installation, low maintenance requi rements, smooth trajectory planning, and high tracking accuracy. These qualities make it suitable for the demands of intelligent operations in large excavators."
XuzhouPeople's Republic of ChinaAsiaEmerging TechnologiesMachine LearningRoboticsRobotsChina University of Mining and Technology
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