diff --git a/src/config/sidebarConfig.ts b/src/config/sidebarConfig.ts
index bc56f1e..5b1439d 100644
--- a/src/config/sidebarConfig.ts
+++ b/src/config/sidebarConfig.ts
@@ -162,6 +162,16 @@ export const sidebarSections: Record<string, SidebarSection[]> = {
                                 },
                             ],
                         },
+                        {
+                            label: 'Stage 1C: Control and Telemetry',
+                            collapsed: true,
+                            items: [
+                                {
+                                    label: 'Stage 1C Introduction',
+                                    slug: 'learning-course/stage1/stage1c/stage-overview',
+                                },
+                            ],
+                        },
                     ],
                 },
             ],
diff --git a/src/content/docs/learning-course/stage1/stage1c/stage-overview.mdx b/src/content/docs/learning-course/stage1/stage1c/stage-overview.mdx
new file mode 100644
index 0000000..5bececf
--- /dev/null
+++ b/src/content/docs/learning-course/stage1/stage1c/stage-overview.mdx
@@ -0,0 +1,36 @@
+---
+title: Stage 1C Overview
+description: An overview of Stage 1A
+prev: ../stage-overview
+next: false
+---
+
+import YouTube from '../../../../../components/YouTube.astro';
+
+If you've watched matches from any recent FRC game, you'll notice that robots typically have to line up quite precisely with a field element to score.
+Take this example from Purdue University's Robot in 3 Days (Ri3D) team showcasing their autoalign program:
+
+<YouTube url="https://www.youtube.com/watch?v=MV6SQ46Dijs" />
+
+In 2026, robots had to line up with the hub to successfully shoot fuel.
+In 2025, robots had to line up with hangers on the reef to place coral.
+To execute these tasks, teams run automatic positioning programs rather than burdening the driver with such precise movements.
+In Stage 1C, you will learn fundamental concepts pertaining to "control theory:" a field of research dedicated to guiding real-world systems (such as robots) to do the things we want.
+Control theory guides the motion of each and every mechanism you will program in FRC.
+
+## Key Concepts
+
+In FRC, different mechanisms can be thought of as "systems."
+Mechanisms have "states" such as position, angle, velocity, and acceleration.
+A PID (Proportional, Integral, Derivative) controller takes a desired state of a system, called a "setpoint," and guides a system's actual state towards this setpoint.
+The output of your mechanism's control algorithm is called "control effort," and, in FRC, control effort will almost always be measured in Volts.
+You can track the states, setpoints, and control efforts of your robots through logging in NetworkTables, a system for sending data between the robot and the driver station.
+
+## Stage 1C Goals
+
+By the end of Stage 1C, you'll program a feature which enables your kitbot's drivetrain to automatically and smoothly turn in place to any given angle such that your kitbot can aim towards the hub on its own.
+You will also be able to read data from your kitbot via logging in NetworkTables.
+
+This stage will cover the following topics:
+
+- WIP