Search Results for "algorithms"

- - - T H I S P R O J E C T M O V E D T O G I T H U B - - - A framework for the implementation of advanced real-time control systems which uses signal/block-based schematics (like Simulink) extended by several features like state machines and online-exchangeable sub-simulations. Besides, this framework properly handles multiple threads, their communication, allows to synchronise control systems to external events (e.g. variable timers or incoming network packages) and provides...

**MOVED TO GITHUB** ==> https://github.com/MRPT/mrpt The Mobile Robot Programming Toolkit (MRPT) is an extensive, cross-platform, and open source C++ library aimed for robotics researchers to design and implement algorithms about Localization, SLAM, Navigation, computer vision. http://www.mrpt.org/

...The simulation is particularly valuable during the early stages of algorithm development and implementation as an aid in accelerating the learning curve for any Guest Scientist for SPHERES. Algorithms may be implemented in C or Embedded MATLAB and executed in the MATLAB simulation environment to verify general desired behavior. With some limitations, the code used in the simulation can be directly transferred to the SPHERES hardware. We are sharing this project with the public to gather more interest for SPHERES Guest Scientists. ...

USARSimRos is designed to provide a seamless interface between the USARSim framework (www.sourceforge.net/projects/usarsim) and ROS (www.ros.org). USARSim provides embodyment (sensors and platforms) and environments for a physics-based robotic simulation while ROS provides leading edge control algorithms. USARSimROS provides for auto-discovery of the simulated robots and sensors and connects these robots to the appropriate ROS control topics. Through the use of auto-discovery, robotic platforms and sensors may be easily changed and connect to the ROS control stack. Repeatable experiments are possible in a variety of environments and will hopefully lead to more robust and capable algorithms.

Joshua chess robot: a stepper motor robot interfaced with a photosensible board to play chess with an embedded artificial intelligence, a game database or and internet player. Software, robot photos, tech papers, schematics and cabling included. Enjo

PAPAS (Path Planning Algorithms Suite) is a set of algorithms intended for path planning. It has common algorithms like PRM, RRT, Wavefront Planner, etc. The implementation is done in C language.

PHPXref is a developers tool, written in Perl, that will cross reference and extract inline documentation from a collection of PHP scripts. It generates simple HTML output suitable for browsing offline.

This projects deals with different robotics algorithms such as motion planning (navigation) , vision SLAM, vision algorithms, and mapping.

MERP is a modular low cost robot platform designed as a research tool or for personal use. It allows real world testing of algorithms developed in simulation for trajectory planning, obstacle avoidance, human robot interaction, among others.

MIARN(Modules for Intelligent Autonomous Robot Navigation) is a project of robotics perception and interaction. We provide a gui for controlling and visualizing playerstage.sf.net sensors and opencv algorithms

The below is a list of all files released for the Crossbow's MNAV100CA with SPB400. This framework may provide a complete solution for AHRS, Navigation, WiFi Comm, and Data Logging, for various robotic applications.

Simulates and visualizes swarming algorithms with limited communication. Also provides an interface to animate particle motion by playback (with pause, fastforward, and rewind) of path information from files. Can output EPS figures and avi frames.

Just a bunch of awesome algorithms. Includes reactive path planning, high-level path planning and exploration algorithms. Software implemented using the Player Robot Server.

AIL is an AI library that will help you to use algorithms such as A*,DFS and BFS.

SLAMSim is intended to serve as an application framework for Simultaneous Localization and Mapping (SLAM) algorithms, which address the problem of simultaneously localizing a mobile robot and building a map of its operating environment.