Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
---|---|---|---|---|---|---|---|---|---|---|
Gcopter | 486 | 5 months ago | 8 | mit | C++ | |||||
A General-Purpose Trajectory Optimizer for Multicopters | ||||||||||
Webots_ros2 | 341 | 2 months ago | 28 | apache-2.0 | C | |||||
Webots ROS 2 packages | ||||||||||
Clf_reactive_planning_system | 23 | 2 years ago | agpl-3.0 | C++ | ||||||
This package provides a CLF-based reactive planning system, described in paper: Efficient Anytime CLF Reactive Planning System for a Bipedal Robot on Undulating Terrain. The reactive planning system consists of a 5-Hz planning thread to guide a robot to a distant goal and a 300-Hz Control-Lyapunov-Function-based (CLF-based) reactive thread to cope with robot deviations. The planning system allowed Cassie Blue to autonomously traverse sinusoidally varying terrain. More experiments are still being conducted and this repo and the paper will be updated accordingly. | ||||||||||
Gennav | 15 | 3 years ago | 2 | July 18, 2020 | 22 | mit | Python | |||
Python Package for Robot Navigation | ||||||||||
Socnavbench | 10 | 2 years ago | 1 | mit | Python | |||||
A Grounded Simulation Testing Framework for Evaluating Social Navigation: https://arxiv.org/abs/2103.00047 | ||||||||||
Wheeled_robot_navigation | 9 | 4 years ago | gpl-2.0 | Python | ||||||
A package for realtime wheeled robot motion planning and collision-free control | ||||||||||
Autonomous Parking | 8 | 5 years ago | 2 | Python | ||||||
Deep_motion_planning | 6 | 4 years ago | bsd-3-clause | Python | ||||||
Using Deep Neural Networks for robot navigation purposes | ||||||||||
Xdwa_local_planner | 6 | 4 years ago | C++ | |||||||
Local Planner for ROS2 | ||||||||||
Imomd Rrtstar | 5 | 2 years ago | agpl-3.0 | C++ | ||||||
This work proposes an anytime iterative system to concurrently solve the multi-objective path planning problem and determine the visiting order of destinations. The paper has been uploaded to arXiv at https://arxiv.org/abs/2205.14853 |