[DOCS] Fixing references in AI Suites for 2026.0

Signed-off-by: Sebastian Golebiewski <sebastianx.golebiewski@intel.com>

Author: sgolebiewski-intel

manufacturing-ai-suite/industrial-edge-insights-multimodal/helm/README.md

@@ -1 +1 @@
-Please refer [link](../docs/user-guide/how-to-guides/how-to-deploy-with-helm.md) for the helm deployment
+Please refer [link](../docs/user-guide/get-started/deploy-with-helm.md) for the helm deployment

manufacturing-ai-suite/industrial-edge-insights-vision/helm/apps/pallet-defect-detection/README.md

@@ -2,7 +2,7 @@
 
 ## Prerequisites
 
-- [System Requirements](../get-started/system-requirements.md)
+- [System Requirements](../../../docs/user-guide/pallet-defect-detection/get-started/system-requirements.md)
 - K8s installation on single or multi node must be done as pre-requisite to continue the following deployment. Note: The kubernetes cluster is set up with `kubeadm`, `kubectl` and `kubelet` packages on single and multi nodes with `v1.30.2`.
   Refer to tutorials online to setup kubernetes cluster on the web with host OS as ubuntu 22.04 and/or ubuntu 24.04.
 - For helm installation, refer to [helm website](https://helm.sh/docs/intro/install/)

manufacturing-ai-suite/industrial-edge-insights-vision/helm/apps/pcb-anomaly-detection/README.md

@@ -2,7 +2,7 @@
 
 ## Prerequisites
 
-- [System Requirements](./system-requirements.md)
+- [System Requirements](../../../docs/user-guide/pcb-anomaly-detection/get-started/system-requirements.md)
 - K8s installation on single or multi node must be done as pre-requisite to continue the following deployment. Note: The kubernetes cluster is set up with `kubeadm`, `kubectl` and `kubelet` packages on single and multi nodes with `v1.30.2`.
   Refer to tutorials online to setup kubernetes cluster on the web with host OS as ubuntu 22.04 and/or ubuntu 24.04.
 - For helm installation, refer to [helm website](https://helm.sh/docs/intro/install/)

manufacturing-ai-suite/industrial-edge-insights-vision/helm/apps/weld-porosity/README.md

@@ -2,7 +2,7 @@
 
 ## Prerequisites
 
-- [System Requirements](../get-started/system-requirements.md)
+- [System Requirements](../../../docs/user-guide/weld-porosity/get-started/system-requirements.md)
 - K8s installation on single or multi node must be done as pre-requisite to continue the following deployment. Note: The kubernetes cluster is set up with `kubeadm`, `kubectl` and `kubelet` packages on single and multi nodes with `v1.30.2`.
   Refer to tutorials online to setup kubernetes cluster on the web with host OS as ubuntu 22.04 and/or ubuntu 24.04.
 - For helm installation, refer to [helm website](https://helm.sh/docs/intro/install/)

manufacturing-ai-suite/industrial-edge-insights-vision/helm/apps/worker-safety-gear-detection/README.md

@@ -2,7 +2,7 @@
 
 ## Prerequisites
 
-- [System Requirements](../get-started/system-requirements.md)
+- [System Requirements](../../../docs/user-guide/worker-safety-gear-detection/get-started/system-requirements.md)
 - K8s installation on single or multi node must be done as pre-requisite to continue the following deployment. Note: The kubernetes cluster is set up with `kubeadm`, `kubectl` and `kubelet` packages on single and multi nodes with `v1.30.2`.
   Refer to tutorials online to setup kubernetes cluster on the web with host OS as ubuntu 22.04 and/or ubuntu 24.04.
 - For helm installation, refer to [helm website](https://helm.sh/docs/intro/install/)

metro-ai-suite/metro-sdk-manager/docs/user-guide/visual-ai-demo-kit/tutorial-3.md

@@ -119,6 +119,6 @@ After completing this tutorial, you should have:
 
 ## Supporting Resources
 
-- [Grafana HTML Panel Documentation](https://grafana.com/docs/grafana/latest/panels/visualizations/text/)
+- [Grafana HTML Panel Documentation](https://grafana.com/docs/grafana/latest/visualizations/panels-visualizations/visualizations/)
 - [MQTT Data Source Configuration](https://grafana.com/docs/grafana/latest/datasources/)
 - [Dashboard Best Practices](https://grafana.com/docs/grafana/latest/best-practices/)

robotics-ai-suite/docs/robotics/dev_guide/tutorials_amr/developer_kit/clearpath-jackal-robot.rst

@@ -6,7 +6,7 @@ developed and distributed by Clearpath Robotics, a Rockwell Automation company.
 Detailed information about this robot is provided by Clearpath Robotics:
 
 * `Jackal Unmanned Ground Vehicle <https://clearpathrobotics.com/jackal-small-unmanned-ground-vehicle/>`_ product page
-* `Jackal User Manual  <https://docs.clearpathrobotics.com/docs/robots/outdoor_robots/jackal/user_manual_jackal/>`_
+* `Jackal User Manual  <https://docs.clearpathrobotics.com/docs_robots/outdoor_robots/jackal/user_manual_jackal/>`_
 
 The following pages describe how the Autonomous Mobile Robot can be used with a
 Clearpath Robotics Jackal robot.

robotics-ai-suite/docs/robotics/dev_guide/tutorials_amr/navigation/adbscan/adbscan_aaeon_robot.md

@@ -1,7 +1,7 @@
 # ADBSCAN on AAEON Robot Kit
 
 This tutorial describes how to run the ADBSCAN algorithm on the real robot
-[UP Xtreme i11 AAEON Robot Kit](https://up-shop.org/up-xtreme-i11-robotic-kit.html) using the Intel® RealSense™ camera input.
+[AAEON UP Xtreme i11 Robotic Kit](https://up-board.org/up-ai-dev-kit/) using the Intel® RealSense™ camera input.
 During the execution of the program the ADBSCAN algorithm detects objects, and draws them in rviz. Then, the FastMapping algorithm uses data from the ADBSCAN to generate a 2D Map of the environment around.
 User can use the default setup to move robot via gamepad or keyboard, so the 3D-camera on the robot can scan surroundings around.
 
@@ -198,4 +198,4 @@ User can use the default setup to move robot via gamepad or keyboard, so the 3D-
 
 ## Troubleshooting
 
-For general robot issues, refer to [Troubleshooting](../robot-tutorials-troubleshooting.md).
+For general robot issues, refer to [Troubleshooting](../../robot-tutorials-troubleshooting.md).

robotics-ai-suite/docs/robotics/dev_guide/tutorials_amr/robot-tutorials-troubleshooting.md

@@ -20,7 +20,7 @@ export ROS_DOMAIN_ID=<value>
 The `ROS_DOMAIN_ID` should be an integer between 0 and 101 and it should
 be the same for all the nodes launched for a particular use case. If you run only
 one use case at a time, you can set this variable in your `.bashrc` file,
-as described in the [prepare-ros-environment](../../gsg_robot/prepare-system.md#prepare-your-ros-2-environment)
+as described in the [prepare-ros-environment](../../../robotics/gsg_robot/index.md#21-prepare-your-ros-2-environment)
 section.
 
 ## Troubleshooting AAEON Motor Control Board Issues
@@ -108,7 +108,7 @@ To resolve this issue, set the display scale mode to 100%:
 > in the same network and have the same ROS_DOMAIN_ID set.
 
 To prepare the development system follow the instructions to
-[Prepare the Target System](../../gsg_robot/prepare-system.md).
+[Prepare the Target System](../../../../robot-vision-control/docs/source/getstarted/prepare_system.md).
 
 <!--hide_directive::::{tab-set}
 :::{tab-item}hide_directive--> **Jazzy**
@@ -183,7 +183,7 @@ kernel mode driver in Linux Kernel 6.7.5 or later.
 For Intel® Core™ Ultra Processors, the recommended operating system for the Autonomous Mobile Robot
 is the [Ubuntu OS version 22.04 LTS (Jammy Jellyfish)](https://releases.ubuntu.com/22.04)
 Desktop image, as described in
-[Prepare the Target System](../../gsg_robot/prepare-system.md).
+[Prepare the Target System](../../../../robot-vision-control/docs/source/getstarted/prepare_system.md).
 Since this version of the Canonical Ubuntu operating system uses a
 Linux Kernel 6.8, this incompatibility will have an impact if you use the
 Autonomous Mobile Robot on an Intel® Core™ Ultra Processor.