New Crowdin translations - uk (#25401)

Co-authored-by: Crowdin Bot <support+bot@crowdin.com>

Author: PX4BuildBot

docs/uk/SUMMARY.md

@@ -34,7 +34,7 @@
     - [Static Pressure Buildup](advanced_config/static_pressure_buildup.md)
   - [Flying (Basics)](flying/basic_flying_mc.md)
   - [Complete Vehicles](complete_vehicles_mc/index.md)
-    - [ModalAI Starling](complete_vehicles_mc/modalai_starling.md)
+    - [ModalAI Starling (PX4 Dev Kit)](complete_vehicles_mc/modalai_starling.md)
     - [PX4 Vision Kit](complete_vehicles_mc/px4_vision_kit.md)
     - [MindRacer BNF & RTF](complete_vehicles_mc/mindracer_BNF_RTF.md)
       - [MindRacer 210](complete_vehicles_mc/mindracer210.md)
@@ -167,6 +167,7 @@
         - [Wiring Quickstart](assembly/quick_start_cuav_v5_plus.md)
       - [CUAV V5 nano (FMUv5)](flight_controller/cuav_v5_nano.md)
         - [Швидке підключення CUAV V5 nano](assembly/quick_start_cuav_v5_nano.md)
+      - [CUAV X25 EVO](flight_controller/cuav_x25-evo.md)
       - [CubePilot Cube Orange+ (CubePilot)](flight_controller/cubepilot_cube_orangeplus.md)
       - [CubePilot Cube Orange (CubePilot)](flight_controller/cubepilot_cube_orange.md)
       - [CubePilot Cube Yellow (CubePilot)](flight_controller/cubepilot_cube_yellow.md)
@@ -233,6 +234,7 @@
       - [Compass Power Compensation](advanced_config/compass_power_compensation.md)
     - [Датчики швидкості повітря](sensor/airspeed.md)
       - [Калібрування](config/airspeed.md)
+      - [Airspeed Validation](advanced_config/airspeed_validation.md)
       - [ВЗІП Датчик польоту](sensor/airspeed_tfslot.md)
     - [Барометри](sensor/barometer.md)
     - [Датчики відстані \(далекодобива\)](sensor/rangefinders.md)
@@ -637,6 +639,7 @@
         - [MountOrientation](msg_docs/MountOrientation.md)
         - [NavigatorMissionItem](msg_docs/NavigatorMissionItem.md)
         - [NavigatorStatus](msg_docs/NavigatorStatus.md)
+        - [NeuralControl](msg_docs/NeuralControl.md)
         - [NormalizedUnsignedSetpoint](msg_docs/NormalizedUnsignedSetpoint.md)
         - [ObstacleDistance](msg_docs/ObstacleDistance.md)
         - [OffboardControlMode](msg_docs/OffboardControlMode.md)
@@ -740,6 +743,7 @@
         - [EventV0](msg_docs/EventV0.md)
         - [HomePositionV0](msg_docs/HomePositionV0.md)
         - [VehicleAttitudeSetpointV0](msg_docs/VehicleAttitudeSetpointV0.md)
+        - [VehicleLocalPositionV0](msg_docs/VehicleLocalPositionV0.md)
         - [VehicleStatusV0](msg_docs/VehicleStatusV0.md)
     - [MAVLink Messaging](mavlink/index.md)
       - [Adding Messages](mavlink/adding_messages.md)
@@ -883,8 +887,8 @@
 
 - [Релізи](releases/index.md)
   - [main (alpha)](releases/main.md)
-  - [1.16 (release candidate)](releases/1.16.md)
-  - [1.15 (stable)](releases/1.15.md)
+  - [1.16 (stable)](releases/1.16.md)
+  - [1.15](releases/1.15.md)
   - [1.14](releases/1.14.md)
   - [1.13](releases/1.13.md)
   - [1.12](releases/1.12.md)

docs/uk/advanced/neural_networks.md

@@ -7,7 +7,7 @@ This is an experimental module.
 Use at your own risk.
 :::
 
-The Multicopter Neural Network (NN) module  ([mc_nn_control](../modules/modules_controller.md#mc_nn_control)) is an example module that allows you to experiment with using a pre-trained neural network on PX4.
+The Multicopter Neural Network (NN) module ([mc_nn_control](../modules/modules_controller.md#mc-nn-control)) is an example module that allows you to experiment with using a pre-trained neural network on PX4.
 It might be used, for example, to experiment with controllers for non-traditional drone morphologies, computer vision tasks, and so on.
 
 The module integrates a pre-trained neural network based on the [TensorFlow Lite Micro (TFLM)](../advanced/tflm.md) module.

docs/uk/advanced/nn_module_utilities.md

@@ -1,6 +1,6 @@
 # Neural Network Module: System Integration
 
-The neural control module ([mc_nn_control](../modules/modules_controller.md#mc_nn_control)) implements an end-to-end controller utilizing neural networks.
+The neural control module ([mc_nn_control](../modules/modules_controller.md#mc-nn-control)) implements an end-to-end controller utilizing neural networks.
 
 The parts of the module directly concerned with generating the code for the trained neural network and integrating it into the module are covered in [TensorFlow Lite Micro (TFLM)](../advanced/tflm.md).
 This page covers the changes that were made to integrate the module into PX4, both within the module, and in larger system configuration.
@@ -14,7 +14,7 @@ For more information see the developer [Getting Started](../dev_setup/getting_st
 
 ## Автозавантаження
 
-A line to autostart the [mc_nn_control](../modules/modules_controller.md#mc_nn_control) module has been added in the [`ROMFS/px4fmu_common/init.d/rc.mc_apps`](https://github.com/PX4/PX4-Autopilot/blob/main/ROMFS/px4fmu_common/init.d/rc.mc_apps) startup script.
+A line to autostart the [mc_nn_control](../modules/modules_controller.md#mc-nn-control) module has been added in the [`ROMFS/px4fmu_common/init.d/rc.mc_apps`](https://github.com/PX4/PX4-Autopilot/blob/main/ROMFS/px4fmu_common/init.d/rc.mc_apps) startup script.
 
 It checks whether the module is included by looking for the parameter [MC_NN_EN](../advanced_config/parameter_reference.md#MC_NN_EN).
 If this is set to `1` (the default value), the module will be started when booting PX4.

docs/uk/advanced/tflm.md

@@ -1,10 +1,10 @@
 # TensorFlow Lite Micro (TFLM)
 
-The PX4 [Multicopter Neural Network](advanced/neural_networks.md) module ([mc_nn_control](../modules/modules_controller.md#mc_nn_control)) integrates a neural network that uses the [TensorFlow Lite Micro (TFLM)](https://github.com/tensorflow/tflite-micro) inference library.
+The PX4 [Multicopter Neural Network](advanced/neural_networks.md) module ([mc_nn_control](../modules/modules_controller.md#mc-nn-control)) integrates a neural network that uses the [TensorFlow Lite Micro (TFLM)](https://github.com/tensorflow/tflite-micro) inference library.
 
 This is a mature inference library intended for use on embedded devices, and is hence a suitable choice for PX4.
 
-This guide explains how the TFLM library is integrated into the [mc_nn_control](../modules/modules_controller.md#mc_nn_control) module, and the changes you would have to make to use it for your own neural network.
+This guide explains how the TFLM library is integrated into the [mc_nn_control](../modules/modules_controller.md#mc-nn-control) module, and the changes you would have to make to use it for your own neural network.
 
 :::tip
 For more information, see the [TFLM guide](https://ai.google.dev/edge/litert/microcontrollers/get_started).