首页|Findings on Robotics Reported by Investigators at Karlsruhe Institute of Technol ogy (KIT) (Uncertainty-aware Hand-eye Calibration)

Findings on Robotics Reported by Investigators at Karlsruhe Institute of Technol ogy (KIT) (Uncertainty-aware Hand-eye Calibration)

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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Research findings on Robotics are disc ussed in a new report. According to news reporting originating in Karlsruhe,Ger many,by NewsRx journalists,research stated,"We provide a generic framework fo r the hand-eye calibration of vision-guided industrial robots. In contrast to tr aditional methods,we explicitly model the uncertainty of the robot in a stochas tically founded way." The news reporters obtained a quote from the research from the Karlsruhe Institu te of Technology (KIT),"Albeit the repeatability of modern industrial robots is high,their absolute accuracy typically is much lower. This uncertainty-especia lly if not considered-deteriorates the result of the hand-eye calibration. Our p roposed framework does not only result in a high accuracy of the computed hand-e ye pose but also provides reliable information about the uncertainty of the robo t. It further provides corrected robot poses for a convenient and inexpensive ro bot calibration. Our framework is computationally efficient and generic in sever al regards. It supports the use of a calibration target as well as self-calibrat ion without the need for known 3-D points. It optionally enables the simultaneou s calibration of the interior camera parameters. The framework is also generic w ith regard to the robot type and,hence,supports antropomorphic as well as sele ctive compliance assembly robot arm (SCARA) robots,for example. Simulated and r eal experiments show the validity of the proposed methods."

KarlsruheGermanyEuropeEmerging TechnologiesMachine LearningNano-robotRobotRoboticsKarlsruhe Institute of Technology (KIT)

2024

Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
年,卷(期):2024.(Mar.29)