Kompass is a framework for building robust event-driven navigation stacks using an intuitive Python API
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Updated
Oct 25, 2024 - Python
Kompass is a framework for building robust event-driven navigation stacks using an intuitive Python API
Simulate a mobile robot equipped with a 3D LiDAR sensor in Gazebo Classic, using ROS2 for integration.
ROS 2 Package for the MPO-700 omnidirectional robot. This robot uses an unique drives called OmniDriveModules.
Robot (or Device) Localization Using Particle Filter over DOA of Wireless Signals
CQLite: Coverage-biased Q-Learning Lite for Efficient Multi-Robot Exploration
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. 🏎️
Implementation of several popular Kalman filter nonlinear variants intended for robotics systems and vehicle state estimation, including Extended Kalman Filter, Unscented Kalman Filter, Error State EKF, Invariant EKF, Square Root EKF, Cubature KF.
Toolkit of mapping, bounding, ranging, trigonmetric functions for the development of mobile robotic software and systems that are frequently needed and convenient to have in one place.
SCUTTLE™: Sensing, Connected, Utility Transport Taxi for Level Environments [An open-source Mobile Robot]
[IROS 2023] FISS+: Efficient and Focused Trajectory Generation and Refinement using Fast Iterative Search and Sampling Strategy
Autonomous navigation using TortoiseBot Pro Max
HouseExpo: A Large-scale 2D Indoor Layout Dataset
Intralogistics demo project based on Mobile Industrial Robot platform (MIR). Created during apprenticeship in ASTOR Poznan 2022.
Turn STL formulas into maps and planed paths, control robots with DRL controllers.
Research Project in A3C reinforcement learning algorithm used for path finding mobile robots
Optimal Path Planning in obstacle loaded map using Dijkstra
Modelling and SImulation of a mobile robot in Gazebo
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.
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