Implementació de les físiques d'un vehicle en un videojoc 3D

En la carrera del mundo de los videojuegos por alcanzar insospechables cotas de realismo con las que seguir sorprendiendo y enganchando al público, los motores de física se han convertido en la herramienta de presente y futuro. Atraídos por el auge de esta nueva tecnología, hemos lidiado con los motores referencia hoy día en el mercado, seleccionando luego uno de ellos e implementando un humilde videojuego de carreras como muestra de su potencial y de los conocimientos adquiridos.

Generación de visitas virtuales a museos 3D para la inclusión en páginas web

Las páginas web junto a la animación 3D son dos grandes atractivos hoy en día en el mundo de Internet. Una interfaz web agradable e interactiva por la que navegar cómodamente; junto a una herramienta en dos dimensiones fácil de manejar, para diseñar y obtener un resultado en tres dimensiones. Esas han sido las bases de mi aplicación, la cual consiste en una página web dedicada al arte, donde cualquier persona podrá registrarse y dibujar mediante una paleta cómo sería un museo a su gusto. Visitando el museo virtual resultante, donde admirar las obras junto a su autor y título.

Gestión y visualización de museos virtuales 3d en línea

Esta aplicación constará de una herramienta para administradores que permitirá ver una sala de exposiciones virtual vacía, y una biblioteca de obras de arte; se podrán añadir y quitar obras de la sala de exposiciones arrastrándolas de/a la biblioteca, creando así galerías de arte virtuales. Estas galerías se podrán visualizar por cualquier persona con un explorador web.

Desenvolupament d'un videojoc 3D basat en OpenGL

En aquest treball es presenta una aplicació gràfica per a desenvolupar un videojoc de tema lliure, amb premisses senzilles però fermes i amb la utilització d'unes eines el funcionament de les qual s'ha assolit durant la carrera i s?ha aprofundit durant el temps que ha durat la confecció d'aquest projecte.

Mecano Virtual 3D

L'objectiu principal d'aquest projecte és crear un mecano virtual amb el qual l'usuari pugui manipular peces per a fer un muntatge i que pugui retocar aquest muntatge com vulgui.

PANG 3D

El projecte consisteix en una versió 3D del famós joc Pang. El joc original va ser publicat per Mitchell, una companyia que ja no existeix, el 1989 en format COIN-OP1. Des de la seva data de publicació va representar un gran èxit de públic i de vendes per a la companyia, que en va treure algunes versions més.

Desenvolupament d'un Videojoc en 3D basat en OPENGL

L'objectiu d'aquest treball ha estat desenvolupar un videojoc en un entorn de tres dimensions utilitzant les llibreries gràfiques d'OpenGL. Aquesta aplicació s'ha desenvolupat en Java, cosa que dóna més independència perquè aquesta és precisament la filosofia d'aquest llenguatge de programació.

Hybrid coordination of reinforcement learning-based behaviors for AUV control

This paper proposes a hybrid coordination method for behavior-based control architectures. The hybrid method takes advantages of the robustness and modularity in competitive approaches as well as optimized trajectories in cooperative ones. This paper shows the feasibility of applying this hybrid method with a 3D-navigation to an autonomous underwater vehicle (AUV). The behaviors are learnt online by means of reinforcement learning. A continuous Q-learning implemented with a feed-forward neural network is employed. Realistic simulations were carried out. The results obtained show the good performance of the hybrid method on behavior coordination as well as the convergence of the behaviors

A behavior-based scheme using reinforcement learning for autonomous underwater vehicles

This paper presents a hybrid behavior-based scheme using reinforcement learning for high-level control of autonomous underwater vehicles (AUVs). Two main features of the presented approach are hybrid behavior coordination and semi on-line neural-Q_learning (SONQL). Hybrid behavior coordination takes advantages of robustness and modularity in the competitive approach as well as efficient trajectories in the cooperative approach. SONQL, a new continuous approach of the Q_learning algorithm with a multilayer neural network is used to learn behavior state/action mapping online. Experimental results show the feasibility of the presented approach for AUVs

Policy gradient based Reinforcement Learning for real autonomous underwater cable tracking

This paper proposes a field application of a high-level reinforcement learning (RL) control system for solving the action selection problem of an autonomous robot in cable tracking task. The learning system is characterized by using a direct policy search method for learning the internal state/action mapping. Policy only algorithms may suffer from long convergence times when dealing with real robotics. In order to speed up the process, the learning phase has been carried out in a simulated environment and, in a second step, the policy has been transferred and tested successfully on a real robot. Future steps plan to continue the learning process on-line while on the real robot while performing the mentioned task. We demonstrate its feasibility with real experiments on the underwater robot ICTINEU AUV

Autonomous underwater vehicle control using reinforcement learning policy search methods

Autonomous underwater vehicles (AUV) represent a challenging control problem with complex, noisy, dynamics. Nowadays, not only the continuous scientific advances in underwater robotics but the increasing number of subsea missions and its complexity ask for an automatization of submarine processes. This paper proposes a high-level control system for solving the action selection problem of an autonomous robot. The system is characterized by the use of reinforcement learning direct policy search methods (RLDPS) for learning the internal state/action mapping of some behaviors. We demonstrate its feasibility with simulated experiments using the model of our underwater robot URIS in a target following task

Large-Area Photo-Mosaics Using Global Alignment and Navigation Data

Seafloor imagery is a rich source of data for the study of biological and geological processes. Among several applications, still images of the ocean floor can be used to build image composites referred to as photo-mosaics. Photo-mosaics provide a wide-area visual representation of the benthos, and enable applications as diverse as geological surveys, mapping and detection of temporal changes in the morphology of biodiversity. We present an approach for creating globally aligned photo-mosaics using 3D position estimates provided by navigation sensors available in deep water surveys. Without image registration, such navigation data does not provide enough accuracy to produce useful composite images. Results from a challenging data set of the Lucky Strike vent field at the Mid Atlantic Ridge are reported

Accuracy estimation of a new omnidirectional 3D vision sensor

We present a computer vision system that associates omnidirectional vision with structured light with the aim of obtaining depth information for a 360 degrees field of view. The approach proposed in this article combines an omnidirectional camera with a panoramic laser projector. The article shows how the sensor is modelled and its accuracy is proved by means of experimental results. The proposed sensor provides useful information for robot navigation applications, pipe inspection, 3D scene modelling etc

Overview of coded light projection techniques for automatic 3D profiling

Obtaining automatic 3D profile of objects is one of the most important issues in computer vision. With this information, a large number of applications become feasible: from visual inspection of industrial parts to 3D reconstruction of the environment for mobile robots. In order to achieve 3D data, range finders can be used. Coded structured light approach is one of the most widely used techniques to retrieve 3D information of an unknown surface. An overview of the existing techniques as well as a new classification of patterns for structured light sensors is presented. This kind of systems belong to the group of active triangulation method, which are based on projecting a light pattern and imaging the illuminated scene from one or more points of view. Since the patterns are coded, correspondences between points of the image(s) and points of the projected pattern can be easily found. Once correspondences are found, a classical triangulation strategy between camera(s) and projector device leads to the reconstruction of the surface. Advantages and constraints of the different patterns are discussed

Implementation of a robust coded structured light technique for dynamic 3D measurements

This paper presents the implementation details of a coded structured light system for rapid shape acquisition of unknown surfaces. Such techniques are based on the projection of patterns onto a measuring surface and grabbing images of every projection with a camera. Analyzing the pattern deformations that appear in the images, 3D information of the surface can be calculated. The implemented technique projects a unique pattern so that it can be used to measure moving surfaces. The structure of the pattern is a grid where the color of the slits are selected using a De Bruijn sequence. Moreover, since both axis of the pattern are coded, the cross points of the grid have two codewords (which permits to reconstruct them very precisely), while pixels belonging to horizontal and vertical slits have also a codeword. Different sets of colors are used for horizontal and vertical slits, so the resulting pattern is invariant to rotation. Therefore, the alignment constraint between camera and projector considered by a lot of authors is not necessary