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Visar resultat 1 - 5 av 32 uppsatser som matchar ovanstående sökkriterier.

  1. 1. Detecting Metro Service Disruptions and Predicting their Spillover Effects throughout the Network using GTFS and Large-Scale Vehicle Location Data

    Master-uppsats, KTH/Transportplanering

    Författare :WeiZhi Michelle Teo; [2023]
    Nyckelord :;

    Sammanfattning : One of the top factors that influence commuters’ satisfaction level with public transport is the punctuality of the service. Commuters rely on public transport to get them from their origin to destination on time and any form of delay will incur additional cost to both the commuters as well as the public transport operators. LÄS MER

  3. 2. Using Backward Chained Behavior Trees to Control Cooperative Minecraft Agents

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

    Författare :Justin Salér; [2023]
    Nyckelord :Behavior-Based Systems; Multi-Agent Systems; Behavior Trees; Minecraft; Beteendebaserade system; multiagentssystem; beteendeträd; Minecraft;

    Sammanfattning : This report presents a strategy to control multiple collaborative intelligent agents acting in a complex, versatile environment. The proposed method utilizes back-chained behavior trees and 1-to-1 task distribution. The agents claim a task, which prevents other agents in the system to start working on the same task. LÄS MER

  4. 3. Comparative Analysis of the Inverse Kinematics of a 6-DOF Manipulator : A Comparative Study of Inverse Kinematics for the 6-DOF Saab Seaeye eM1-7 Manipulator with Non-Conventional Wrist Configuration

    Master-uppsats, Linköpings universitet/Reglerteknik

    Författare :Anton Larsson; Oskar Grönlund; [2023]
    Nyckelord :;

    Sammanfattning : This report presents various methods for solving the inverse kinematic problem for a non-conventional robotic manipulator with 6 degrees of freedom and discusses their respective advantages and disadvantages. Numerical methods, such as gradient descent, Gauss-Newton and Levenberg-Marquardt as well as heuristic methods such as Cyclic Coordinate Descent and Forward and Backward Reaching Inverse Kinematics are discussed and presented, while the numerical methods are implemented and tested in simulation. LÄS MER

  5. 4. Exploring backward stochastic differential equations and deep learning for high-dimensional partial differential equations and European option pricing

    Kandidat-uppsats, Mälardalens universitet/Akademin för utbildning, kultur och kommunikation

    Författare :Jonathan Leung; [2023]
    Nyckelord :Backward Stochastic Differential Equations; Semilinear Parabolic Partial Differential Equations; Artificial Neural Networks; Nonlinear Option Pricing; Black-Scholes; Nonlinear Feynman-Kac; Euler-Maruyama;

    Sammanfattning : Many phenomena in our world can be described as differential equations in high dimensions. However, they are notoriously challenging to solve numerically due to the exponential growth in computational cost with increasing dimensions. LÄS MER

  7. 5. Most efficient Inverse Kinematics algorithm for Quadruped models : Comparing FABRIK to CCD

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

    Författare :Matilda Richardsson; [2022]
    Nyckelord :Inverse Kinematics; FABRIK; CCD; Quadrupeds; Computer Graphics;

    Sammanfattning : This paper compares the two heuristic inverse kinematics methods: Forward And Backward Reaching Inverse Kinematics (FABRIK) and Cyclic Coordinate Descent (CCD) in the use cases concerning quadruped models. Unoptimised versions of the two algorithms were implemented into a game engine and evaluated on a quadruped model. LÄS MER