Sökning: "robot grasping"

Visar resultat 1 - 5 av 16 uppsatser innehållade orden robot grasping.

  1. 1. Expand enabling robot grasping using mixed reality

    Kandidat-uppsats, Högskolan i Skövde/Institutionen för ingenjörsvetenskap

    Författare :César San Blas Leal; Julián Núñez Moreno; [2023]
    Nyckelord :Robotics; mixed reality; robot programming; robot grasping; unity; RobotStudio;

    Sammanfattning : The rapid advancements in Robotics and Mixed Reality (MR) have opened new avenues for intuitive human-robot interaction. In this thesis, an intuitive and accessible robot grasping application is developed using MR to enable programming using the operator’s hand movements, reducing the technical complexity associated with traditional programming. LÄS MER

  3. 2. Från ritning till robot : En undersökning av automatisering för främjande av digitalisering inom byggbranschen

    Kandidat-uppsats, Umeå universitet/Institutionen för informatik

    Författare :Elin Vesterlund; Nora Ninche; Natalie Jönsson; [2023]
    Nyckelord :RPA; Byggbransch; Projektering; BIM; Automation; Miljö;

    Sammanfattning : Robotic Process Automation is a technology that is rapidly growing with continuous developments. Involving the use of software bots, it automates repetitive tasks and processes, resulting in saving both money and time. Simultaneously, the construction industry has been relatively slow to adapt to the quick digitalization of society. LÄS MER

  4. 3. A Deep-Learning-Based Approach for Stiffness Estimation of Deformable Objects

    Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Författare :Nan Yang; [2022]
    Nyckelord :Robotic grasping; Deformable objects; Deformation modeling; Stiffness estimation; Deep learning; Robotgrepp; Deformerbara föremål; Deformationsmodellering; Styvhetsuppskattning; Djup lärning;

    Sammanfattning : Object deformation is an essential factor for the robot to manipulate the object, as the deformation impacts the grasping of the deformable object either positively or negatively. One of the most challenging problems with deformable objects is estimating the stiffness parameters such as Young’s modulus and Poisson’s ratio. LÄS MER

  5. 4. Enabling robot grasping teaching using mixed reality

    Kandidat-uppsats, Högskolan i Skövde/Institutionen för ingenjörsvetenskap

    Författare :Pablo Beigveder Durante; Marcos Fernández Nadales; [2022]
    Nyckelord :Grasping; Mixed reality; Augmented reality; Robot; Unity; Programming;

    Sammanfattning : The exploration of realistic grasping with industrial robots could open gates in the way of understanding the industry, giving robots the ability to adapt to different situations without reprogramming and therefore, become more flexible tools. In order to facilitate this apparently complex task it is important to implement new tools for robot programming. LÄS MER

  7. 5. New object grasp synthesis with gripper selection: process development

    Master-uppsats, Jönköping University/JTH, Avdelningen för datavetenskap

    Författare :Tanguy Legrand; [2022]
    Nyckelord :grasps pose synthesis; point cloud classification; point cloud regression; machine learning; 3D model; CAD model; robotic grasping; pick and place; gripper selection;

    Sammanfattning : A fundamental aspect to consider in factories is the transportation of the items at differentsteps in the production process. Conveyor belts do a great to bring items from point A topoint B but to load the item onto a working station it can demands a more precise and,in some cases, delicate approach. LÄS MER