Robust adaptive control
Control Theory of Nonlinear Mechanical Systems
Control Theory of Nonlinear Mechanical Systems
Force position control for a robot finger with a soft tip and kinematic uncertainties
Robotics and Autonomous Systems
IEEE Transactions on Robotics
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This work refers to the problem of controlling robot motion and force in frictional contacts under environmental errors and particularly orientation errors that distort the desired control targets and control subspaces. The proposed method uses online estimates of the surface normal (tangent) direction to dynamically modify the control target and control space decomposition. It is proved that these estimates converge to the actual value even though the elasticity and friction parameters are unknown. The proposed control solution is demonstrated through simulation examples in three-dimensional robot motion tasks contacting both planar and curved surfaces.