2022
DOI: 10.1007/s00170-022-10369-y
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Compensation of electrical current drift in human–robot collision

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“…Tailored to address intricate CM challenges, these AI-driven methodologies cast a wide net, encompassing a plethora of sensory data inputs. They proficiently integrate ultrasonic measurements [4], electrical currents [5], torque measurements on robotic arm joints [6], temperature profiles [7], and state-of-the-art techniques for wear debris detection [8]. Vibration and torque signal analyses, paramount aspects of these frameworks, have been harnessed extensively for both machinery and robotic systems, demonstrating their pivotal role and potential [9,10].…”
Section: Introductionmentioning
confidence: 99%
“…Tailored to address intricate CM challenges, these AI-driven methodologies cast a wide net, encompassing a plethora of sensory data inputs. They proficiently integrate ultrasonic measurements [4], electrical currents [5], torque measurements on robotic arm joints [6], temperature profiles [7], and state-of-the-art techniques for wear debris detection [8]. Vibration and torque signal analyses, paramount aspects of these frameworks, have been harnessed extensively for both machinery and robotic systems, demonstrating their pivotal role and potential [9,10].…”
Section: Introductionmentioning
confidence: 99%