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fix: correct the wrong link address for robotic area #15

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fix: correct the wrong link address for robotic area #15

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ac27036
fix: correct the wrong link address for robotic area
cuixing158 May 3, 2024
dfc9a82
add Motion Planning Networks
cuixing158 May 3, 2024
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12 changes: 11 additions & 1 deletion README.md
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Expand Up @@ -31,6 +31,7 @@ Discover pretrained models for deep learning in MATLAB.

### Robotics
* [Manipulator Motion Planning](https://github.com/matlab-deep-learning/MATLAB-Deep-Learning-Model-Hub#robotics-)
* [Motion Planning Networks](https://github.com/matlab-deep-learning/MATLAB-Deep-Learning-Model-Hub#robotics-)

## Image Classification <a name="ImageClassification"/>

Expand Down Expand Up @@ -327,7 +328,7 @@ Inputs are Lidar Point Clouds converted to five-channels, outputs are segmentati

[Back to top](https://github.com/matlab-deep-learning/MATLAB-Deep-Learning-Model-Hub#matlab-deep-learning-model-hub)

## Manipulator Motion Planning <a name="ManipMotionPlanning"/>
## Robotics <a name="RoboticsPlan"/>

Manipulator motion planning is a technique used to plan a trajectory for a robotic arm from a start position to a goal position in an obstacle environment.

Expand All @@ -341,7 +342,16 @@ Inputs are start configuration, goal configuration and obstacle environment enco
| --- | --- | --- | --- |
| [Deep-Learning-Based CHOMP (DLCHOMP)](https://www.mathworks.com/help/releases/R2024a/robotics/ref/dlchomp.html) | Trajectory Prediction | 25 | [Doc](https://www.mathworks.com/help/releases/R2024a/robotics/ref/dlchomp.html)<br />[GitHub](https://github.com/matlab-deep-learning/pretrained-dlchomp) |

Motion Planning Networks (MPNet) is a deep-learning-based approach for finding optimal paths between a start point and goal point in motion planning problems.MPNet uses prior knowledge to find optimal states for motion planning.

Pre-trained deep learning models have learned to state space sampling or path planning.

![mpnet_path_planning](https://github.com/cuixing158/MATLAB-Deep-Learning-Model-Hub/assets/22857777/d98c297b-2008-4498-8085-91900dcf3c64)

| Network | Application | Size (MB)| Location|
| --- | --- | --- | --- |
| [Office-Map-Trained-MPNET (MPNet)](https://ww2.mathworks.cn/help/nav/ref/mpnetse2.html) | State Space Sampling or Path Planning Prediction| 0.24 | [Doc1](https://ww2.mathworks.cn/help/nav/ref/mpnetse2.predict.html#mw_820c5c3b-d0c4-449b-8115-46cba5a9b35b)<br />[Doc2](https://ww2.mathworks.cn/help/nav/ref/plannermpnet.html#mw_7f4280bc-3bb2-4e0f-a4c1-f556ef10c5fb) |
| [Maze-Map-Trained-MPNET (MPNet)](https://ww2.mathworks.cn/help/nav/ref/mpnetse2.html) | State Space Sampling or Path Planning Prediction | 0.33 | [Doc1](https://ww2.mathworks.cn/help/nav/ref/mpnetse2.predict.html#mw_a16893a6-639c-4812-a983-ca9923c9aab5)<br />[Doc2](https://ww2.mathworks.cn/help/nav/ref/plannermpnet.plan.html#mw_105ff194-b41a-46b9-9365-e3beadde18fa) |

[Back to top](https://github.com/matlab-deep-learning/MATLAB-Deep-Learning-Model-Hub#matlab-deep-learning-model-hub)

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