2010 IEEE/ASME International Conference on Advanced Intelligent Mechatronics 2010
DOI: 10.1109/aim.2010.5695784
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A geometrical approach for online error compensation of industrial manipulators

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Cited by 32 publications
(15 citation statements)
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“…As such, kinematic calibration without considering joint compliance performed on robots that have been compensated will yield much better results that those given in this simulations as noted by previous work in [6] and especially if the endeffector poses used in the calibration process is constrained to a small region within the robot task space. VI.…”
Section: Simulation Verificationmentioning
confidence: 54%
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“…As such, kinematic calibration without considering joint compliance performed on robots that have been compensated will yield much better results that those given in this simulations as noted by previous work in [6] and especially if the endeffector poses used in the calibration process is constrained to a small region within the robot task space. VI.…”
Section: Simulation Verificationmentioning
confidence: 54%
“…Ad T0,p i ∂p i + Ad T0,q iŝ i ∂q i +Ad T0,p n+1 ∂p n+1 (6) where ∂T 0,n+1 T −1 0,n+1 ∈ se(3) represents the gross kinematic errors of a complete robot with respect to the measurement frame {K 0 }, Ad T denotes the adjoint representation of T , and…”
Section: Calibration Processmentioning
confidence: 99%
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“…Especially during contact tasks, forces add on the load of the gears and cause additional deflection. Link and joint compliance, causing the deflection of the links and finally the end-effector, contribute up to 8-10% of the position and orientation errors of the end-effector (Mustafa et al, 2010).…”
Section: Robot Positional Errormentioning
confidence: 99%
“…Within the mechanical robot structure two categories of errors can be distinguished: geometrical errors and non-geometrical errors (Mustafa, Tao, Yang, & Chen, 2010). The former encompasses all the deviation due to imperfect geometries, mating or assembly errors.…”
Section: Robot Positional Errormentioning
confidence: 99%