Amora
The Autonomous Mobile Robot Algorithms (AMORA) project aims to enable our Pioneer 3 robots to perform simple tasks autonomously. In order to do so, we plan to integrate state-of-the-art algorithms in path planning, navigation, SLAM, object recognition and others within the ROS framework.
| Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
|---|---|---|---|---|---|---|---|---|---|---|
| Fast Planner | 2,036 | 4 months ago | 69 | gpl-3.0 | C++ | |||||
| A Robust and Efficient Trajectory Planner for Quadrotors | ||||||||||
| Robotics Coursework | 1,762 | 2 years ago | 5 | unlicense | ||||||
| 🤖 Places where you can learn robotics (and stuff like that) online 🤖 | ||||||||||
| Pinocchio | 1,331 |  | 8 | 16 | 3 months ago | 15 | November 28, 2023 | 44 | other | C++ |
| A fast and flexible implementation of Rigid Body Dynamics algorithms and their analytical derivatives | ||||||||||
| Fast_gicp | 1,028 | 3 months ago | 61 | bsd-3-clause | C++ | |||||
| A collection of GICP-based fast point cloud registration algorithms | ||||||||||
| Ndt_omp | 527 | a year ago | 22 | bsd-2-clause | C++ | |||||
| Multi-threaded and SSE friendly NDT algorithm | ||||||||||
| Velo2cam_calibration | 412 | 2 years ago | 1 | gpl-2.0 | C++ | |||||
| Automatic Extrinsic Calibration Method for LiDAR and Camera Sensor Setups. ROS Package. | ||||||||||
| Quadruped_ctrl | 184 | 2 years ago | 8 | mit | C++ | |||||
| MIT mini cheetah quadruped robot simulated in pybullet environment using ros. | ||||||||||
| Dstar Lite Pathplanner | 109 | 5 months ago | mit | Python | ||||||
| Implementation of the D* lite algorithm in Python for "Improved Fast Replanning for Robot Navigation in Unknown Terrain" | ||||||||||
| Mrpt_slam | 107 | 9 months ago | 10 | bsd-3-clause | C++ | |||||
| ROS wrappers for SLAM algorithms in MRPT | ||||||||||
| Path_planning | 100 | 9 years ago | C++ | |||||||
| A path planning algorithm based on RRT implemented using ROS. | ||||||||||
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