Cockpit
What is the drone doing right now? Live telemetry, attitude, altitude, and link health.
PROJECTS
Projects that turn learning into field capability.
Ascend Labs begins with one focused flagship project: MAVLab, a phone-first drone simulator that makes learning drone systems approachable — from telemetry and missions to failures and debriefs — before anyone touches real hardware.
Flagship Project — MAVLab
[v1.5.0 RELEASED] [QGROUNDCONTROL-VERIFIED] [OPEN SOURCE (APACHE 2.0)] [BOOTCAMP-LINKED]
MAVLab makes drone simulation approachable.
MAVLab is Ascend Labs' first flagship project — a phone-based drone simulation and digital-twin platform. It uses an Android phone to turn drone concepts into an interactive learning environment, so students, operators, and builders can understand how drones sense, move, communicate, and execute missions without owning a full hardware stack.
MAVLab is open-source. Read the full documentation for a guided walkthrough, or go straight to the code on GitHub — either way you can read, run, and extend it.
The Problem MAVLab Solves
Drone simulation has a steep learning curve. Professional stacks like ROS, Gazebo, ArduPilot SITL, PX4 SITL, and QGroundControl are powerful, but they can overwhelm beginners before the core drone concepts are clear. A learner should not have to become a Linux and simulator-infrastructure expert before understanding attitude, telemetry, flight modes, missions, failsafes, and battery behaviour.
It Changes the Learning Order
MAVLab changes the learning order: understand drone systems first in one approachable app, then graduate into ArduPilot/PX4 SITL, Gazebo, ROS 2, hardware-in-the-loop, and real aircraft.
What MAVLab Is
MAVLab is a phone-based simulation and digital-twin platform, built around five tabs — each answering one system question.
Controller
How do I manually control or perturb the drone?
Mission
What mission is loaded, and how is it progressing?
SIM
How is the drone reacting visually? A 3D digital twin of system state.
Ops
Is the app, logging, and connection infrastructure healthy?
The Core Loop
You learn by operating the simulator, not by reading static lessons.
- Understand the current drone state
- Arm, take off, and control
- Connect QGroundControl if needed
- Upload or run a mission
- Watch telemetry and 3D state
- Inject or observe a failure
- Review logs and debrief
What MAVLab Teaches
- Attitude, altitude, sensors, and telemetry intuition.
- MAVLink and real ground-control workflows via QGroundControl.
- Mission reasoning: routes, constraints, and decision points.
- Failure analysis and structured debriefs before hardware is at risk.
Why MAVLab Matters for Ascend
Bootcamp teaching
A practical way for learners to understand drone systems before real hardware.
Talent development
A path from learning into simulation, logs, missions, and technical projects.
R&D discipline
A sandbox for testing drone behaviour, workflows, and assumptions.
Public artifact
Evidence that Ascend Labs is building, not only talking.
What Comes Next
North Star
Make drone simulation learnable.