A dynamical extension that makes possible the integration of a kinematic controller and a torque controller for nonholonomic mobile robots is presented. A combined kinematic/torque control law is developed using backstepping and asymptotic stability is guaranteed by Lyapunov theory. Moreover, this control algorithm can be applied to the three basic nonholonomic navigation problems: tracking a reference trajectory, path following and stabilization about a desired posture. A general structure for controlling a mobile robot results that can accommodate different control techniques ranging from a conventional computed-torque controller, when all dynamics are known, to adaptive controllers.

Control of a nonholonomic mobile robot: backstepping kinematics into dynamics

A control structure that makes possible the integration of a kinematic controller and a neural network (NN) computed-torque controller for nonholonomic mobile robots is presented. A combined kinematic/torque control law is developed using backstepping and stability is guaranteed by Lyapunov theory. This control algorithm can be applied to the three basic nonholonomic navigation problems: tracking a reference trajectory, path following, and stabilization about a desired posture. Moreover, the NN controller proposed in this work can deal with unmodeled bounded disturbances and/or unstructured unmodeled dynamics in the vehicle. Online NN weight tuning algorithms do not require off-line learning yet guarantee small tracking errors and bounded control signals are utilized.

Control of a nonholonomic mobile robot using neural networks

A mobile manipulator in this study is a manipulator mounted on a mobile platform. Assuming the end point of the manipulator is guided, e.g., by a human operator to follow an arbitrary trajectory, it is desirable that the mobile platform is able to move as to position the manipulator in certain preferred configurations. Since the motion of the manipulator is unknown a priori, the platform has to use the measured joint position information of the manipulator for its own motion planning. This paper presents a control algorithm for the platform so that the manipulator is always positioned at the preferred configurations measured by its manipulability. Simulation results are presented to illustrate the efficacy of the algorithm. The algorithm is also implemented and verified on a real mobile manipulator system. The use of the resulting algorithm in a number of applications is also discussed. >

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Coordinating locomotion and manipulation of a mobile manipulator

Aerial manipulation aims at combining the versatility and the agility of some aerial platforms with the manipulation capabilities of robotic arms. This letter tries to collect the results reached by the research community so far within the field of aerial manipulation, especially from the technological and control point of view. A brief literature review of general aerial robotics and space manipulation is carried out as well.

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Aerial Manipulation: A Literature Review

Foundations of Robotics presents the fundamental concepts and methodologies for the analysis, design, and control of robot manipulators It explains the physical meaning of the concepts and equations used, and it provides, in an intuitively clear way, the necessary background in kinetics, linear algebra, and control theory Illustrative examples appear throughoutThe author begins by discussing typical robot manipulator mechanisms and their controllers He then devotes three chapters to the analysis of robot manipulator mechanisms He covers the kinematics of robot manipulators, describing the motion of manipulator links and objects related to manipulation A chapter on dynamics includes the derivation of the dynamic equations of motion, their use for control and simulation and the identification of inertial parameters The final chapter develops the concept of manipulabilityThe second half focuses on the control of robot manipulators Various position-control algorithms that guide the manipulator's end effector along a desired trajectory are described Two typical methods used to control the contact force between the end effector and its environments are detailed For manipulators with redundant degrees of freedom, a technique to develop control algorithms for active utilization of the redundancy is described Appendixes give compact reviews of the function atan2, pseudo inverses, singular-value decomposition, and Lyapunov stability theoryTsuneo Yoshikawa teaches in the Division of Applied Systems Science in Kyoto University's Faculty of Engineering

Foundations of robotics : analysis and control

A planning and control algorithm for coordinating the motion of a mobile manipulator is presented. The design criterion is to control the mobile platform so that the manipulator is maintained in a configuration which maximizes the manipulability measure. The effectiveness of the method was verified by simulations on two representative trajectories. The algorithm was implemented with an actual mobile manipulator and tested on one of the trajectories for comparison purposes. >

/pdf/coordinating-locomotion-and-manipulation-of-a-mobile-5fdpnzwqui.pdf

Y. Yamamoto

Papers

Coordinating locomotion and manipulation of a mobile manipulator

Coordinating locomotion and manipulation of a mobile manipulator