Variable motion characteristics control of an object by multiple passive mobile robots in cooperation with a human.
ABSTRACT In this paper, we introduce a passive mobile robot called PRP (Passive Robot Porter), which has passive dynamics with respect to an applied force and its appropriate motion is controlled based on the servo brakes. This paper especially focuses on a motion control algorithm of multiple passive mobile robots for handling a single object in cooperation with a human. By controlling each passive mobile robot in the decentralized way, we realize several kinds of motion characteristics of the object to improve the maneuverability for the human operator. By changing the apparent dynamics of the representative point of the object and its position, we realize an anisotropic apparent motion characteristic of the handling object and the obstacle avoidance function as examples. The proposed motion control algorithms are implemented to two PRPs actually, and experimental results illustrate the validity of the proposed algorithms.
Conference Paper: Model-free impedance control for safe human-robot interaction[Show abstract] [Hide abstract]
ABSTRACT: In this paper, model-free impedance control is designed for the safe human-robot interaction. A passive impedance model is imposed on the robot and a control method is proposed to guarantee the robot dynamics governed by the target model. The proposed method does not require any model information except for upper bounds of system matrix. It is thus easy to apply to practical implementation. The rigorous analysis of the control performance and robustness is presented. The validity of the proposed method is verified on the six degrees of-freedom (DOF) PUMA 560 robot arm through simulation.Robotics and Automation (ICRA), 2011 IEEE International Conference on; 06/2011
Conference Paper: Bilateral Human-Robot Interaction with Physical Contact[Show abstract] [Hide abstract]
ABSTRACT: In this paper it is presented a control strategy for bilateral human-robot interaction with contact, recognizing human intent to control movement of a non-holonomic mobile robot. The human intention is modeled by mechanical impedance, sensing the force and direction desired by the human to guide the robot through unstructured environments. Robot dynamics are included in order to improve the interaction performance. Stability analysis of the proposed control system is proved by using Lyapunov theory. Real experiments of the human-robot interaction show the performance of the proposed controllers.International Conference on Advanced Robotics; 11/2013
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ABSTRACT: In this article, learning impedance control is proposed for physical robot–environment interaction. Learning mechanism is developed such that the knowledge of the robot structure is not required. With the developed method, the dynamics of the robot arm is governed to follow a target impedance model and the interaction control objective is achieved. The control performance is discussed through the rigorous analysis. The validity of the proposed method is verified by simulation studies.International Journal of Control - INT J CONTR. 01/2012; 85(2):182-193.