Search Results for "robot framework"
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Showing 24 open source projects for "robot framework"
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NVIDIA Isaac Lab
Unified framework for robot learning built on NVIDIA Isaac Sim
Isaac Lab is an open-source modular robotics learning framework built atop Isaac Sim. It simplifies research workflows across reinforcement learning, imitation learning, and motion planning by offering robust, GPU-accelerated simulation with realistic sensor and physics fidelity—ideal for sim-to-real robot training. Compatible and optimized for use with Isaac Sim versions (e.g., Sim 5.0 and 4.5). -
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HomeRobot
Mobile manipulation research tools for roboticists
HomeRobot is an open source robotics framework developed by Facebook Research (Meta AI) that provides a complete software stack for mobile manipulation in real-world and simulated environments. Designed for low-cost robots such as the Hello Robot Stretch, HomeRobot enables agents to perceive, navigate, and interact with their surroundings through vision and manipulation. The system focuses on Open Vocabulary Mobile Manipulation (OVMM) — a challenging task in which a robot must explore an unknown environment, identify an object by name, locate a suitable receptacle, and place the object appropriately. ... -
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Robotics Library
C++ framework for robot kinematics, dynamics, motion planning, control
The Robotics Library (RL) is a self-contained C++ library for rigid body kinematics and dynamics, motion planning, and control. It covers spatial vector algebra, multibody systems, hardware abstraction, path planning, collision detection, and visualization. -
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FARSA
Framework for Autonomous Robotics Simulation and Analysis
FARSA is a collection of integrated open-source object-oriented C++ libraries that allow to experiment with autonomous robots. It allow to simulate different robotic platforms (the iCub humanoid and the khepera, e-puck, and marxbot wheeled robots), design the sensory-motor system of the robot/s, design the environment in which the robot/s operate, design the robot neural controller, and adapt the free parameters of the robot. -
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Behaviour Control Framework
A C++ framework that uses inhibition trees for behaviour control.
The Behaviour Control Framework is a generic platform-independent C++ framework that implements a control architecture consisting of a hierarchical network of behaviour layers. These layers each contain behaviours that can inhibit one another and interact to achieve control. A full discussion of the structure and ideas behind this framework can be found in the Doxygen documentation that comes with the release. This documentation is well worth a read before you decide if the library is for... -
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State Controller Library
A C++ framework that implements generalised finite state machines.
The State Controller Library is a generic platform-independent C++ framework that allows finite state machines and multi-action planning generalisations thereof to be realised. The structure and implementation of this library focuses on the application of finite state machines to real-time control loops, but can be reasonably adapted for virtually any other application, even completely unrelated to control systems. An emphasis has been placed on having very low overhead so as not to hurt... -
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RESHL
ROS-Enhanced Scalable Haptic Library - discontinued
PROJECT DISCONTINUED ---------------------------------------- RESHL is a collection of Linux software used to interact with pen-master based haptic devices. Its name, ROS-Enhanced Scalable Haptic Library, describes all its main features: - ROS-Enhanced: the library can be used as a library in the ROS framework (Robot Operating System - http://www.ros.org/) and provides out-of-the-box support for master-slave solutions - Scalable: the library consists in different sub-libraries with different software dependencies. This way you don't have to install software for devices or functionality you're not going to use. Refer to Structure section for details on the single sub-libraries... -
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RoboComp is a robotics framework providing a set of open-source, distributed, real-time robotic and artificial vision software components and the necessary tools to create and manage them.
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RESPOND-R
RESPOND-R Test Instrument
The RESPOND-R framework is a modular, distributed data logging framework built for the purpose of studying Emergency Informatics as it relates to human robot performance during disaster responses. Tutorials can be found on the wiki: https://sourceforge.net/p/respondr/wiki/ -
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OpenRDK (OPENsource Robot Development Kit) is a modular software framework that can be used by developers in their research in robotics and artificial intelligence. This project has been moved to https://github.com/madmage/openrdk
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The Whole-Body Control framework jointly developed at Stanford University and The University of Texas at Austin provides advanced control for fixed base manipulators and is currently running on the the Meka A2 Arm and the Dreamer/Meka Humanoid robot. The code repository is hosted on Github, please go to https://github.com/poftwaresatent/stanford_wbc
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Lightning Planning Framework for ROS
ROS package implementing the Lightning Framework using OMPL
LightningROS is a ROS package implementing the Lightning Path Planning Framework. The code here was developed for ROS Feurte. For later ROS versions, see https://github.com/WPI-ARC/lightning_ros This approach uses a path library to store previous experience while allowing generality by also planning from scratch. Please see the paper below for more details: A Robot Path Planning Framework that Learns from Experience Dmitry Berenson, Pieter Abbeel, and Ken Goldberg IEEE International Conference on Robotics and Automation (ICRA), May, 2012. ... -
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EIS environment created on the basis of the Nao Environment provided by the Delft University of Technology. This environment provides a framework that permits to easily extent the environment with new actions and supported robots.
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This is a project to determine an appropriate framework for ontologies for communication with and between robots, as well as possibly tools for reasoning about information in the framework.
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Charlottesville-Albermarle Robotics and their FIRST Robotics Competition Team # 619, Cavalier Robotics, share their robotics and related code with the entire FIRST community and the world.
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MORP (Module Orientated Robotic Programming) is a framework bringing base implementations in order to easily connect modules such as a NXT or Bioloid Robot. It provides its own scripting languages called 'morp' dedicated to robot programming.
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The Mobile Autonomous Robot Simulation Framework assists in building the applications to simulate an Autonomous Mobile Robot, its interaction with the environment, behaviors and also its sensors, actuators and locomotion mechanism.
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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
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A Computer Robot and Chatterbot building Framework, or "Bot Architecture", that utilizes Visual Basic, XML, MSAgent, SAPI, WSH, OpenCV and MSComm in a Bot building framework for building everything from chatterbots to robots.
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Robotics software framework for any microcontroller in C, based on the Subsumption Architecture theory from Brooks. Make your robot do 'intelligent' stuff without re-inventing the wheel all over again! Multiprocessor/architecture-ready!
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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.
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ROS in UTM ROBOCON
Development of ROS in UTM ROBOCON for robot programming
Using the Robot Operating System (ROS) framework, several functionality are built including computer to serial port data transmission, mobile robot navigation and arm manipulation. This project is under testing and development and will be used in the ABU ROBOCON in Malaysia and international level in the near future. -
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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.
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