## Theory of Robot ControlThe advent of new high-speed microprocessor technology together with the need for high-performance robots created substantial and realistic place for control theory in the field of robotics. Since the beginning of the 80's, robotics and control theory have greatly benefited from a mutual fertiliza tion. On one hand, robot models (inherently highly nonlinear) have been used as good case studies for exemplifying general concepts of analysis and design of advanced control theory; on the other hand, robot manipulator by using new control algorithms. Fur performance has been improved thermore, many interesting robotics problems, e. g. , in mobile robots, have brought new control theory research lines and given rise to the development of new controllers (time-varying and nonlinear). Robots in control are more than a simple case study. They represent a natural source of inspiration and a great pedagogical tool for research and teaching in control theory. Several advanced control algorithms have been developed for different types of robots (rigid, flexible and mobile), based either on existing control techniques, e. g. , feedback linearization and adaptive control, or on new control techniques that have been developed on purpose. Most of those results, although widely spread, are nowadays rather dispersed in different journals and conference proceedings. The purpose of this book is to collect some of the most fundamental and current results on theory of robot control in a unified framework, by editing, improving and completing previous works in the area. |

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### Contents

Joint space control | 59 |

Task space control | 115 |

Motion and force control | 141 |

Copyright | |

9 other sections not shown

### Other editions - View all

Theory of Robot Control Carlos Canudas de Wit,Bruno Siciliano,Georges Bastin No preview available - 2012 |

Theory of Robot Control Carlos Canudas de Wit,Bruno Siciliano,Georges Bastin No preview available - 2012 |

### Common terms and phrases

adaptive algorithm analysis approach assume Assumption asymptotically bounded chapter choice closed-loop components computed Conf configuration Consider constant constraints continuous control law convergence coordinates defined depend derivative described desired differential direct dynamic model elastic end-effector energy equation error estimate exists expressed feedback fixed flexible force frame function given gives gravity IEEE IEEE Trans inertia input introduced inverse Jacobian joint kinematic Lemma linear Lyapunov matrix measurements mechanical method mobile robots motion nonlinear obtained orientation origin output parameters particular passive positive positive definite possible posture presented problem Proc properties reduced reference respect result rigid robot manipulators Robotics and Automation robust schemes singular solution solve stability steering wheels structure task space tends to zero theorem time-varying torque tracking trajectory Type variables vector velocity wheels zero