Modelling and Control of Hyper-Redundant Micromanipulators for Obstacle Avoidance in an Unstructured Environment

Athanasios Tsoukalas, Antonios Tzes

    Research output: Contribution to journalArticle

    Abstract

    The complexity of the obstacle avoidance problem in an unstructured environment increases when the task is performed in the micro scale, which necessitates the adoption of novel control techniques for obstacle inference and avoidance. In this article, we introduce a Van der Waals (VdW) force extension to the traditional dynamic micromanipulator model, where every link is decomposed into a series of elementary particles that interact with neighboring objects during the manipulator’s motion. This interaction, along with the inherent nanoscale friction, introduce additive nonlinearities in the model that are compensated through an adaptive positioning control scheme. The estimation of the induced VdW forces are used to derive an approximation of the obstacle’s position, followed by an obstacle avoidance algorithm, which generates a collision free path. Simulation studies on a hyper-redundant micromanipulator are offered to highlight the effectiveness of the proposed scheme.

    Original languageEnglish (US)
    Pages (from-to)517-528
    Number of pages12
    JournalJournal of Intelligent and Robotic Systems: Theory and Applications
    Volume78
    Issue number3-4
    DOIs
    StatePublished - Jun 16 2015

    Fingerprint

    Micromanipulators
    Van der Waals forces
    Collision avoidance
    Elementary particles
    Manipulators
    Friction

    Keywords

    • Micro robotics
    • Obstacle avoidance

    ASJC Scopus subject areas

    • Control and Systems Engineering
    • Software
    • Mechanical Engineering
    • Industrial and Manufacturing Engineering
    • Artificial Intelligence
    • Electrical and Electronic Engineering

    Cite this

    Modelling and Control of Hyper-Redundant Micromanipulators for Obstacle Avoidance in an Unstructured Environment. / Tsoukalas, Athanasios; Tzes, Antonios.

    In: Journal of Intelligent and Robotic Systems: Theory and Applications, Vol. 78, No. 3-4, 16.06.2015, p. 517-528.

    Research output: Contribution to journalArticle

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