首页|Findings from Max-Planck-Institute for Intelligent Systems Advance Knowledge in Robotics and Artificial Intelligence (AiroTouch: enhancing telerobotic assembly through naturalistic haptic feedback of tool vibrations)
Findings from Max-Planck-Institute for Intelligent Systems Advance Knowledge in Robotics and Artificial Intelligence (AiroTouch: enhancing telerobotic assembly through naturalistic haptic feedback of tool vibrations)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Fresh data on robotics and artificial intelligence are presented in a new report. According to news reporting from Stu ttgart, Germany, by NewsRx journalists, research stated, “Teleoperation allows w orkers to safely control powerful construction machines; however, its primary re liance on visual feedback limits the operator’s efficiency in situations with st iff contact or poor visibility, hindering its use for assembly of pre-fabricated building components. Reliable, economical, and easy-to-implement haptic feedbac k could fill this perception gap and facilitate the broader use of robots in con struction and other application areas.” Funders for this research include Deutsche Forschungsgemeinschaft; Max-planck-ge sellschaft. Our news editors obtained a quote from the research from Max-Planck-Institute fo r Intelligent Systems: “Thus, we adapted widely available commercial audio equip ment to create AiroTouch, a naturalistic haptic feedback system that measures th e vibration experienced by each robot tool and enables the operator to feel a sc aled version of this vibration in real time. Accurate haptic transmission was ac hieved by optimizing the positions of the system’s off-the-shelf accelerometers and voice-coil actuators. A study was conducted to evaluate how adding this natu ralistic type of vibrotactile feedback affects the operator during telerobotic a ssembly. Thirty participants used a bimanual dexterous teleoperation system (Int uitive da Vinci Si) to build a small rigid structure under three randomly ordere d haptic feedback conditions: no vibrations, one-axis vibrations, and summed thr ee-axis vibrations. The results show that users took advantage of both tested ve rsions of the naturalistic haptic feedback after gaining some experience with th e task, causing significantly lower vibrations and forces in the second trial. S ubjective responses indicate that haptic feedback increased the realism of the i nteraction and reduced the perceived task duration, task difficulty, and fatigue .”
Max-Planck-Institute for Intelligent Sys temsStuttgartGermanyEuropeMachine LearningRobotics and Artificial Inte lligence
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