Search Results for "path-setting"

This MATLAB-based repository contains implementations of quadrotor control systems, path planning, and trajectory optimization algorithms developed as part of an advanced robotics course at the University of Pennsylvania. It includes PD controllers, path planning via Dijkstra and A* algorithms, and trajectory optimization (minimum snap/acceleration). Run code: change trajectories in file control/runsim.m and run. See quadrotor_dynamics.pdf for dynamic modeling of the quadrotor. ...

A software gps simulator, providing TCP/IP, UDP, http and serial port connectivity in NMEA 0183, XML or user defined output format. Usable for testing all kinds of GPS applications. Can playback pre-recorded GPS files with NMEA output.

The Open Optimal Control Library is a software framework in Matlab/Octave for modeling optimal control problem. It uses automatic differentiation and fast non-linear programming solvers. It implements direct methods. In the backend it uses CasADi and ipopt.

SystemC Network Simulation Library (SCNSL) is an extension of SystemC to allow modelling packet-based networks such as wireless networks, ethernet, fieldbus, etc. As done by basic SystemC for signals on the bus, SCNSL provides primitives to model packet trasmission, reception, contention on the channel and wireless path loss. The use of SCNSL allows the easy and complete modelling of distributed applications of networked embedded systems such as wireless sensor networks, routers, and distributed plant controllers. SCNSL has migrated: please go to GitLab for the latest version: https://gitlab.com/open-kappa/scnsl

A modeling and simulation tool for Routing problems on Graphs, tccrouter is a java desktop application that provides a 2d map for building graphs and simulating a variety of real world routing solutions: Shortest path, TSP, VRP, VRP-TW. Check Git repository. https://github.com/guilhebl/routerapp

Java based portable simulator to visualize and understand the Robot Localization, Path planning, Path Smoothing and PID controller concepts. It is very flexible and easy to use. It supports multiple platforms. The source code is available on Github where you can find latest development and up-to-date documentation. Source : https://github.com/habsoft/robosim Blog : https://robosimblog.wordpress.com Note : Use jre 1.7 to run it. 1.Histogram Filter 2.Histogram Filter with Sonar Range Finder (Experimental) 3.Kalman Filter 4.Particles Filter 5.Path Planning 6.Path Smoothing 7.PID Controller Path Planning Algorithms 1.BFS 2.DFS 3.A Star 4. ...

xPyder is a PyMOL plugin to analyze and visualize on the 3D structure dynamical cross-correlation matrices (DCCM), linear mutual information (LMI), communication propensities (CP), intra- and inter-molecular interactions (e.g. PSN), and more, to produce highly customizable publication-quality images. xPyder identifies networks (using concepts from graph theory, such as hubs and shortest path searching), compares matrices and focuses the analysis on relevant information by filtering the data using a modular, user-expandable plugin system that takes advantage of structural and dynamical information, contributing to bridge the gap between dynamical and mechanical properties at the molecular level.

...Dynamical network analysis has been used to model this cooperation, helping to computationally explain how binding to an allosteric site can impact the behavior of a primary site often many angstroms away. Traditionally, computational efforts have focused on the most optimal path of correlated motions leading from the allosteric to the primary active site. We present a program called Weighted Implementation of Suboptimal Paths (WISP) capable of rapidly identifying additional suboptimal pathways that may also play important roles in the transmission of allosteric signals. Aside from providing signal redundancy, suboptimal paths traverse residues that, if disrupted through pharmacological or mutational means, could modulate the allosteric regulation of important drug targets.

...It is possible to estimate sensitivities with respect to system parameters using the following algorithms: finite difference methods (crude monte carlo, common reaction path, coupled finite differences); likelihood ratio methods; and regularized pathwise derivatives. Additionally the package includes basic stochastic simulation algorithms. The package includes several example networks which can be easily modified for other networks. Serial and parallel MPI implementations can be built and called from the command line. ...

MuLaViTo is a multi-layer visualization framework which allows to visualize relations between multiple graphs in derived applications. Moreover, it provides helpful means like k-shortest path algorithms, running algorithms in a separate thread, ...

This project at NICTA implements a broadcast routing protocol called Shortest Path Tree Broadcast (SPTB) under ns-2. This release also contains our implementation of a benchmark protocol called “TwoHop” which uses 2-hop neighbour information.

Software for simulating the flight path of high power rockets in six-degree-of-freedom. This software runs with Octave or Matlab and can simulate a wide range of scenarios including parachute recovery and multiple stage flights.

Projectile motion is a GUI based program that calculates various parameters of projectile motion based on initial velocity and height. It also plots the path of the projectile and can also find the location (x,y) as a function of time and vice versa.

GAI is a graphical GIS based front end to ANUGA which allows convenient and visual tools for setting up hydrodynamic models. GAI depends on ANUGA to run the models created by GAI.

A platform for setting up autonomic services in a distributed environment. Provides service discovery, service provisioning / usage, autonomic adaptation to the context, mobility, support for supervision and service aggregation, and more.

PIMC++ is a code designed to perform fully-correlated simulations of quantum systems in continuous space at finite temperature using Path Integral Monte Carlo. It is designed in a modular way to facilitate easy addition of new algorithms.

CoPP is an object-oriented framework for developing algorithms for robot path planning. One of of the design goals is to make it easy to make comparisons between various path planning algorithms.