Search Results for "algorithms"

...The library exposes canonical abstractions (base, arm, gripper, camera, sensors) with calibration and kinematics helpers so beginners can get meaningful results quickly. It also plugs into simulation backends, letting you prototype perception and control algorithms before deploying on physical robots. By standardizing common operations and providing examples, PyRobot reduces boilerplate and encourages best practices in perception-control loops, data collection, and benchmarking.

...The code is written to be accessible and easy to adapt, enabling experimentation with both classical and modern robotics techniques. By using MATLAB’s visualization and numerical capabilities, the repository offers intuitive demonstrations of algorithms in action. As an open resource, it encourages contributions and serves as a foundation for building and testing robotics concepts in simulation.

...It ideally complements openPOWERLINK, the open source POWERLINK protocol stack for master and slave. The project consists of a core library implementing the configuration algorithms and an eclipse plugin base user interface. For XDD tooling and validation support within eclipse please visit: https://goo.gl/NBytgg Please use the update site to install the plugin in your eclipse environment: http://sourceforge.net/projects/eclipse-plugin.openconf.p/files/update-site/ KNOWN ISSUE WITH THE UPDATE SITE DUE TO SOURCEFORGE ENCRYPTION POLICIES: https://goo.gl/kVr2ZZ Install via Eclipse marketplace: http://goo.gl/vweJ9h User Manual: https://goo.gl/viGd5P For Linux distributions with Boost 1.54.0 please use: https://goo.gl/hMRTss For Linux distributions with Boost 1.61.0 please use: https://goo.gl/ZSvW7C

The Teachingbox uses advanced machine learning techniques to relieve developers from the programming of hand-crafted sophisticated behaviors of autonomous agents (such as robots, game players etc...) In the current status we have implemented a well founded reinforcement learning core in Java with many popular usecases, environments, policies and learners. Obtaining the teachingbox: FOR USERS: If you want to download the latest releases, please visit:...

The Matlab/Octave rotations library is a collection of functions, bundled as m-scripts, that address computations and numerical handling of rotations in 3D Euclidean space. The rotation representations that are supported are rotation matrices (Rotmat), Quaternions (Quat), intrinsic ZYX Euler angles (Euler), fused angles (Fused) and tilt angles (Tilt). Operations such as composition, inversion, ZYX yaw extraction, fused yaw extraction, random generation, equality detection, vector rotation...

...The implementation of the Rotations Conversion Library is based on the very related Matlab/Octave Rotations Library (MORL), which is a highly tested reference implementation for the required algorithms (see https://sourceforge.net/projects/rotationslib/).

...The library is targeted at robotic applications, but is by no means limited to this. Features of the estimator include gyro bias estimation, transient quick learning, multiple estimation algorithms, tuneable estimator parameters, and near-global stability backed by theoretical analysis. Great emphasis has been placed on having a very efficient, yet totally numerically and algorithmically robust implementation of the filter. The code size has also been kept to a minimum, and has been extremely well-commented. The programmatic interface has also been made as easy as possible. ...

...Thanks to a large number of wrapper functions these objects can be used with highly efficient functionality from third party libraries such as OpenCV, GNU Scientific Library, Computational Geometry Algorithms Library, Intel's Math Kernel Library and Integrated Performance Primitives, the Octave library, etc...

The Mars Rover Simulator project is based on the evolutionary robotics paradigm where an artificial agent acquires its skills through the process of artificial evolution. This simulator can be useful to evolve neural network controllers for the rover

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.

JSiBo is a small and extensible simulator for mobile robot with differentially steered drive system. It provides the end user with a simple way to test algorithms, by writing them in Java language.

CILib is a framework for developing Computational Intelligence software in swarm intelligence, evolutionary computing, neural networks, artificial immune systems, fuzzy logic and robotics.

The library currently consists of an implementation of collision detection of static/moving ellipsoids that exploits frame-coherence using separating planes. Please visit http://www.cs.hku.hk/GraphicsGroup/cd.html for paper references.

The Free Connectionist Q-learning Java Framework is an library for developing learning systems. Keywords: qlearning, artificial intelligence, alife, neural nets, neural networks, machine learning, reinforcement learning unsupervised learning agents lejos

A simulation environment for 2D robots to interact and perform tasks in. Meant to be educational and demonstrate emergent behaviors. No download necessary! See demos on project website!

Plantra-Trajectory Planning is a software to rebuild surfaces from cloud points, featuring shaded 3D visualization and path planning for robotics paths. It uses Voronoi diagram, Cyrus-Beck clipping, Delaunay triangulation and B-Splines.

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.

Yaobi is a fast collision detection library for general triangulated objects. It uses a hierarchical representation based on oriented bounding boxes. Yaobi compares well with other libraries when it comes to speed and memory consumption.

General purpose agents using reinforcement learning. Combines radial basis functions, temporal difference learning, planning, uncertainty estimations, and curiosity. Intended to be an out-of-the-box solution for roboticists and game developers.