首页|Research Reports from Technische Hochschule Nurnberg Georg Simon Ohm Provide New Insights into Robotics (User Study to Validate the Performance of an Offline Ro bot Programming Method That Enables Robot-Independent Kinesthetic Instruction ...)
Research Reports from Technische Hochschule Nurnberg Georg Simon Ohm Provide New Insights into Robotics (User Study to Validate the Performance of an Offline Ro bot Programming Method That Enables Robot-Independent Kinesthetic Instruction ...)
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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 new report.According to news reporting from Nuremberg,Germany,by NewsR x journalists,research stated,"The paper presents a novel offline programming (OLP) method based on programming by demonstration (PbD),which has been validat ed through user study." Financial supporters for this research include German Federal Ministry of Educat ion And Research.The news correspondents obtained a quote from the research from Technische Hochs chule Nurnberg Georg Simon Ohm:"PbD is a programming method that involves physi cal interaction with robots,and kinesthetic teaching (KT) is a commonly used on line programming method in industry.However,online programming methods consume significant robot resources,limiting the speed advantages of PbD and emphasizi ng the need for an offline approach.The method presented here,based on KT,use s a virtual representation instead of a physical robot,allowing independent pro gramming regardless of the working environment.It employs haptic input devices to teach a simulated robot in augmented reality and uses automatic path planning .A benchmarking test was conducted to standardize equipment,procedures,and ev aluation techniques to compare different PbD approaches.The results indicate a 47% decrease in programming time when compared to traditional KT m ethods in established industrial systems."
Technische Hochschule Nurnberg Georg Sim on OhmNurembergGermanyEuropeEmerging TechnologiesMachine LearningRob otRobotics
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