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  1. Article ; Online: Visual Collaboration Leader-Follower UAV-Formation for Indoor Exploration.

    Evangeliou, Nikolaos / Chaikalis, Dimitris / Tsoukalas, Athanasios / Tzes, Anthony

    Frontiers in robotics and AI

    2022  Volume 8, Page(s) 777535

    Abstract: UAVs operating in a leader-follower formation demand the knowledge of the relative pose between the collaborating members. This necessitates the RF-communication of this information which increases the communication latency and can easily result in lost ... ...

    Abstract UAVs operating in a leader-follower formation demand the knowledge of the relative pose between the collaborating members. This necessitates the RF-communication of this information which increases the communication latency and can easily result in lost data packets. In this work, rather than relying on this autopilot data exchange, a visual scheme using passive markers is presented. Each formation-member carries passive markers in a RhOct configuration. These markers are visually detected and the relative pose of the members is on-board determined, thus eliminating the need for RF-communication. A reference path is then evaluated for each follower that tracks the leader and maintains a constant distance between the formation-members. Experimental studies show a mean position detection error (5 × 5 × 10cm) or less than 0.0031% of the available workspace [0.5 up to 5m, 50.43° × 38.75° Field of View (FoV)]. The efficiency of the suggested scheme against varying delays are examined in these studies, where it is shown that a delay up to 1.25s can be tolerated for the follower to track the leader as long as the latter one remains within its FoV.
    Language English
    Publishing date 2022-01-04
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2781824-X
    ISSN 2296-9144 ; 2296-9144
    ISSN (online) 2296-9144
    ISSN 2296-9144
    DOI 10.3389/frobt.2021.777535
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Book ; Online: Aerial Manipulator Force Control Using Control Barrier Functions

    Chaikalis, Dimitris / Goncalves, Vinicius / Evangeliou, Nikolaos / Tzes, Anthony / Khorrami, Farshad

    2023  

    Abstract: This article studies the problem of applying normal forces on a surface, using an underactuated aerial vehicle equipped with a dexterous robotic arm. A force-motion high-level controller is designed based on a Lyapunov function encompassing alignment and ...

    Abstract This article studies the problem of applying normal forces on a surface, using an underactuated aerial vehicle equipped with a dexterous robotic arm. A force-motion high-level controller is designed based on a Lyapunov function encompassing alignment and exerted force errors. This controller is coupled with a Control Barrier Function constraint under an optimization scheme using Quadratic Programming. This aims to enforce a prescribed relationship between the approaching motion for the end-effector and its alignment with the surface, thus ensuring safe operation. An adaptive low-level controller is devised for the aerial vehicle, capable of tracking velocity commands generated by the high-level controller. Simulations and experiments are presented to demonstrate the force exertion stability and safety of the controller in cases of large disturbances.
    Keywords Computer Science - Robotics
    Publishing date 2023-09-14
    Publishing country us
    Document type Book ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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