From 69322b330a70318b134d5c37fd9eb6a64964d715 Mon Sep 17 00:00:00 2001 From: randhid Date: Thu, 18 Jul 2024 12:12:14 -0400 Subject: [PATCH] Fix broken html links --- docs/services/vision/obstacles_distance.md | 2 +- docs/tutorials/services/navigate-with-rover-base.md | 3 +-- docs/tutorials/services/visualize-data-grafana.md | 2 +- 3 files changed, 3 insertions(+), 4 deletions(-) diff --git a/docs/services/vision/obstacles_distance.md b/docs/services/vision/obstacles_distance.md index a47226fba1..0b455d7122 100644 --- a/docs/services/vision/obstacles_distance.md +++ b/docs/services/vision/obstacles_distance.md @@ -16,7 +16,7 @@ _Changed in [RDK v0.2.36 and API v0.1.118](/appendix/changelog/#vision-service)_ `obstacles_distance` is a segmenter that takes point clouds from a camera input and returns the average single closest point to the camera as a perceived obstacle. It is best for transient obstacle avoidance. -For example, if you have an ultrasonic distance sensor as an [`ultrasonic` camera](/components/camera/ultrasonic/), this model will query the sensor `"num_queries"` times, and then take the average point from those measurements and return that as an obstacle. +For example, if you have an ultrasonic distance sensor as an [`viam:ultrasonic:camera`](https://github.com/viam-modules/viam-ultrasonic), this model will query the sensor `"num_queries"` times, and then take the average point from those measurements and return that as an obstacle. {{< tabs >}} {{% tab name="Builder" %}} diff --git a/docs/tutorials/services/navigate-with-rover-base.md b/docs/tutorials/services/navigate-with-rover-base.md index aeda1c5738..c0a0d93c1f 100644 --- a/docs/tutorials/services/navigate-with-rover-base.md +++ b/docs/tutorials/services/navigate-with-rover-base.md @@ -617,8 +617,7 @@ We configured ours as an [Intel RealSense Camera](https://www.intelrealsense.com {{< alert title="Tip" color="tip" >}} -You can alternatively use an [`ultrasonic` sensor](/components/sensor/ultrasonic/) configured as a camera. -Attribute information for an `ultrasonic` [camera](/components/camera/) is the same as [for a sensor](/components/sensor/ultrasonic/). +You can alternatively use an [`viam:ultrasonic:camera`](https://github.com/viam-modules/viam-ultrasonic) from the official viam module. {{< /alert >}} diff --git a/docs/tutorials/services/visualize-data-grafana.md b/docs/tutorials/services/visualize-data-grafana.md index 1f76b75d63..896b29d637 100644 --- a/docs/tutorials/services/visualize-data-grafana.md +++ b/docs/tutorials/services/visualize-data-grafana.md @@ -41,7 +41,7 @@ Before following this tutorial, ensure you have: - A machine with [connected to the Viam app](/cloud/machines/#add-a-new-machine). -- A configured [sensor component](/components/sensor/), such as the [ultrasonic](/components/sensor/ultrasonic/) sensor, that reports data. +- A configured [sensor component](/components/sensor/), that reports data. - This tutorial uses a dataset of plant moisture measurements, originally captured for our [Plant watering tutorial](/tutorials/projects/make-a-plant-watering-robot/) using an analog resistive soil moisture sensor connected to an analog-to-digital-converter (ADC). The ADC functionality was provided by the [`mcp300x-adc-sensor` module](https://app.viam.com/module/hazalmestci/mcp300x-adc-sensor) from the [Viam registry](https://app.viam.com/registry).