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This paper is concerned with a real-time control system of trajectory tracking and obstacle avoidance using an avoidance manipulability measure for redundant manipulators. To perform the tasks adaptively without path-planning, information on the local environment is naturally restricted by limited recognition time. This means an adaptive configuration control has to manage its shape in real-time and without adequate information on its surroundings. Therefore, when the manipulator executes a task adaptively in a dynamic environment, its avoidance manipulability should always be maintained as high as possible to prepare for sudden avoiding. As a measure for gauging avoidance manipulability, we first propose a new index, “AMSIP.” By combining a concept of ”preview control” with real-time optimization of AMSIP distribution found by “1-step GA,” we next propose a new configuration control method, with future information being referred locally but effectively. The proposed system has been evaluated in simulations in terms of real-time configuration optimization, and the complete system has been proved to be feasible and practical.

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This paper proposes a new approach to achieve an on-line control of trajectory tracking and obstacle avoidance for redundant manipulators without prechecking path-planning in whole trajectory tracking. In the trajectory tarcking process, manipulator is required to keep a configuration with maximal avoidance manipulability in real-time. In this paper, we present a new idea: Multi-Preview Control, which uses several future optimal configurations to control current configuration to complete task of trajectory tracking and obstacle avoidance online with high avoidance manipulability and reachability. We verify the validity of multi-preview control through simulations of comparing single-preview control with multi-preview control.

This paper is concerned with a concept of reconfiguration manipulability inspired from manipulability. The reconfiguration manipulability represents a shape-changeability of each intermediate link when a prior end-effector task is given. Through analyses of reconfiguration matrices, we propose a method to judge whether the plural shapechanging subtasks can be executed simultaneously or not. Then the sufficient conditions guaranteeing sustainability of reconfiguration manipulability space are presented, which are the conditions for keeping the reconfiguration manipulability as high as possible under the prior end-effector task. Further, we confirm the proposed analyses can be useful practically for evaluating the realistic manipulator's configurations and structures.