HouseExpo: A Large-scale 2D Indoor Layout Dataset
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Updated
Sep 26, 2023 - Python
HouseExpo: A Large-scale 2D Indoor Layout Dataset
SCUTTLE™: Sensing, Connected, Utility Transport Taxi for Level Environments [An open-source Mobile Robot]
This repository has the code for the nonlinear model predictive controller for target tracking problems with the use of Casadi framework and Matlab simulation environment. 🏎️
A New ROS-based Robot Platform for Fast Building and Developing
[IROS 2023] FISS+: Efficient and Focused Trajectory Generation and Refinement using Fast Iterative Search and Sampling Strategy
Creating Occupancy Grid Maps using Static State Bayes filter and Bresenham's algorithm for mobile robot (turtlebot3_burger) in ROS.
A Reinforcement Learning (RL) based navigation implementation for mobile robot navigation. Q-Learning, SARSA and Deep Q-Network algorithms were compared.
CQLite: Coverage-biased Q-Learning Lite for Efficient Multi-Robot Exploration
Autonomous Occupancy Probability Mapping Mission Robot Code with Webots and ROS2.
Implementation of Particle filter algorithm for mobile robot localization (turtlebot3_burger) in ROS.
Deep Reinforcement Learning for mobile robot navigation, a robot learns to navigate to a random goal point from random moves to adopting a strategy, in a simulated maze environment while avoiding dynamic obstacles.
This ROS2 package aims to demonstrate how the Particle Filter or Monte Carlo Localization is implemented in a real robot in a simulation world.
Robot (or Device) Localization Using Particle Filter over DOA of Wireless Signals
A flexible development platform for Pioneer Multi-Robot Systems (MRS) http://wiki.ros.org/pioneer_mrs
Kompass is a framework for building robust event-driven navigation stacks using an intuitive Python API
Online Indoor Localization Using DOA of Wireless Signals
Turn STL formulas into maps and planed paths, control robots with DRL controllers.
Implement some algorithms and methods for Mobile Robot using Python
This repository is used for integrating the controllers on the robot Qolo, sensors, obstacle avoidance, and high-level controllers with the low-level motor control of the robot.
Implementation of Bug's algorithms for mobile robots in V-REP simulator
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