Skip to content

Commit d980b5d

Browse files
Fix linking issues
1 parent a87f786 commit d980b5d

File tree

2 files changed

+7
-7
lines changed

2 files changed

+7
-7
lines changed

robotics-ai-suite/docs/robotics/dev_guide/how_it_works/robot-algorithms.rst

Lines changed: 6 additions & 6 deletions
Original file line numberDiff line numberDiff line change
@@ -21,7 +21,7 @@ For details, see `Model Zoo
2121
ADBSCAN
2222
++++++++
2323

24-
**Tutorial**: :doc:`../dev_guide/tutorials_amr/navigation/adbscan/index`
24+
**Tutorial**: :doc:` ADBSCAN Algorithm <../tutorials_amr/navigation/adbscan/index>`
2525

2626

2727
DBSCAN (Density-Based Spatial Clustering of Applications with Noise) is an
@@ -35,7 +35,7 @@ average.
3535
3D Pointcloud Groundfloor Segmentation
3636
++++++++++++++++++++++++++++++++++++++
3737

38-
**Tutorial**: :doc:`../../dev_guide/tutorials_amr/perception/pointcloud-groundfloor-segmentation`
38+
**Tutorial**: :doc:` 3D Pointcloud Groundfloor Segmentation for Intel® RealSense™ Camera and 3D LiDAR <../tutorials_amr/perception/pointcloud-groundfloor-segmentation>`
3939

4040
An algorithm, along with a demo application, that transforms (Intel® RealSense™) Depth Camera images to 3D
4141
pointclouds. This algorithm further assigns classification labels such as 'ground floor' or
@@ -71,7 +71,7 @@ https://github.com/CCNYRoboticsLab/imu_tools:
7171
FastMapping
7272
++++++++++++
7373

74-
**Tutorial**: :doc:`../../dev_guide/tutorials_amr/navigation/run-fastmapping-algorithm`
74+
**Tutorial**: :doc:` FastMapping Algorithm <../tutorials_amr/navigation/run-fastmapping-algorithm>`
7575

7676
FastMapping, is an algorithm to create a 3D voxel map of a robot's
7777
surrounding, based on Intel® RealSense™ Depth Camera sensor data.
@@ -80,7 +80,7 @@ surrounding, based on Intel® RealSense™ Depth Camera sensor data.
8080
Collaborative Visual SLAM
8181
++++++++++++++++++++++++++
8282

83-
**Tutorial**: :doc:`../../dev_guide/tutorials_amr/navigation/collaborative-slam`
83+
**Tutorial**: :doc:` Collaborative Visual SLAM <../tutorials_amr/navigation/collaborative-slam>`
8484

8585
Collaborative visual SLAM is a framework for service robots which utilizes simultaneous localization
8686
and mapping (SLAM). An edge server maintains a map database and handles global optimization. Each robot can
@@ -165,7 +165,7 @@ The SLAM toolbox is a set of tools and capabilities for 2D SLAM that includes th
165165
ITS Global Path Planner
166166
++++++++++++++++++++++++
167167

168-
**Tutorial**: :doc:`../../dev_guide/tutorials_amr/navigation/its-path-planner-plugin`
168+
**Tutorial**: :doc:` ITS Path Planner ROS 2 Navigation Plugin <../tutorials_amr/navigation/its-path-planner-plugin>`
169169

170170
The Intelligent Sampling and Two-Way Search (ITS) Global Path Planner is a plugin for the ROS 2 Navigation package.
171171
It performs a path planning search on a roadmap from two directions
@@ -203,7 +203,7 @@ the integration of GPS data.
203203
Navigation 2
204204
+++++++++++++
205205

206-
**Tutorials**: :doc:`../../dev_guide/tutorials_amr/navigation/index`
206+
**Tutorials**: :doc:` Navigation <../tutorials_amr/navigation/index>`
207207

208208
ROS 2 Navigation stack, which seeks a safe way to have a mobile robot move
209209
from point A to point B. This completes dynamic path planning, computes

robotics-ai-suite/docs/robotics/dev_guide/index_tutorials.rst

Lines changed: 1 addition & 1 deletion
Original file line numberDiff line numberDiff line change
@@ -7,7 +7,7 @@
77
Tutorials |tutorials_robot|
88
===========================
99

10-
Prerequisite: Follow the instructions in :doc:`../../gsg_robot/index`.
10+
Prerequisite: Follow the instructions in :doc:`../gsg_robot/index`.
1111

1212
With step-by-step instructions covering real world usage scenarios,
1313
these tutorials provide a learning path for developers to use and configure Autonomous Mobile Robot.

0 commit comments

Comments
 (0)