Path-tracking maneuvers with industrial robot manipulators using uncalibrated vision and impedance control
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This paper presents an interaction control strategy for industrial robot manipulators which consists of the combination of a calibration-free, vision-based control method with an impedance-control approach. The vision-based, robot control method known as camera-space manipulation is used to generate a given, previously defined trajectory over an arbitrary surface. Then, a kinematic impedance controller is implemented in order to regulate the interaction forces generated by the contact between the robot end-effector and the work surface where the trajectory is traced. The paper presents experimental evidence on how the vision-force sensory fusion is applied to a path-tracking task, using a Fanuc M16-iB industrial robot equipped with a force/torque sensor at the wrist. In this task, several levels of interaction force between the robot end-effector and the surface were defined. As discussed in the paper, such a synergy between the control schemes is seen as a viable alternative for performing industrial maneuvers that require force modulation between the tool held by the robot and the working surface. © 1998-2012 IEEE.
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Impedance control; industrial robots; path tracking; vision Arbitrary surfaces; Control schemes; Experimental evidence; Force modulation; Force/torque sensor; Impedance control; Impedance controllers; Interaction controls; Interaction forces; Path tracking; Robot controls; Robot manipulator; Sensory fusion; Vision based; Vision based control; Flexible manipulators; Modular robots; Robot applications; Vision; Industrial robots
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