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Visar resultat 1 - 5 av 18 uppsatser som matchar ovanstående sökkriterier.

  1. 1. Learning a Grasp Prediction Model for Forestry Applications

    Uppsats för yrkesexamina på avancerad nivå, Umeå universitet/Institutionen för fysik

    Författare :Elias Olofsson; [2024]
    Nyckelord :Forwarder; Autonomous grasping; Deep learning; Multibody dynamics; Convolutional neural network;

    Sammanfattning : Since the advent of machine learning and machine vision methods, progress has been made in tackling the long-standing research question of autonomous grasping of arbitrary objects using robotic end-effectors. Building on these efforts, we focus on a subset of the general grasping problem concerning the automation of a forwarder. 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. 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

  7. 5. Simulation challenges in robotic grasping

    Uppsats för yrkesexamina på avancerad nivå, Umeå universitet/Institutionen för fysik

    Författare :Sabina Andersson; [2021]
    Nyckelord :;

    Sammanfattning : Grasping and dexterous manipulation is a huge area in the current robotic research field. Traditionally in industrial environments, robots are customized for a certain task and work well with repetitive movements where the entire process is predetermined and deterministic. LÄS MER