Observed since 20 Oct, 20:28 UTC
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Aerial-robot control stack with optional simulation and visualization.
Control stack for aerial robots. The core has no ROS or Matplotlib dependency; simulation and visualization are available as optional extras.
For firmware, hardware integration, and the full ROS 2 / simulation stack, visit the repo: github.com/RawFish69/aerial-kit.
aerial_kit.types - SimState, ControlTarget, Capabilities, Wrench,
CommandKind, Waypointaerial_kit.interfaces - Controller, DynamicsBackend, Planner ABCsaerial_kit.registry - a pluggable component registry
(register_airframe/register_controller/etc., create_* factories)aerial_kit.airframes - Airframe ABC, MultirotorAirframe (mixer-driven quad/hex/
octo), TwinWingAirframe (elevon + differential-thrust allocation, trim)aerial_kit.dynamics - 6-DOF multirotor dynamics, point-mass dynamics, and a
hand-rolled 6-DOF fixed-wing model with a flat-plate-blended lift curve, drag polar,
and moment derivativesaerial_kit.controllers - PID/LQR/MPC position controllers, and
FixedWingL1TECSController (L1 lateral guidance + TECS-lite longitudinal control +
coordinated-turn attitude PID)aerial_kit.guidance - l1_bank_command, tecs_command as standalone functionsfrom aerial_kit.registry import register_builtin_components, create_airframe, create_controller
register_builtin_components()
airframe = create_airframe("quad")
controller = create_controller("pid")
print(airframe.capabilities)
register_builtin_components() here registers only what lives inside aerial_kit
itself (airframes, controllers) - it has no ROS or matplotlib dependency and does not
know about any host application's own dynamics backends or planners. A host application
(like sim_py in the parent repo) registers its own backends/planners into the same
registry alongside this.
Install the optional simulator and Matplotlib viewer:
python -m pip install "aerial-kit[sim]"
Run the bundled default quadrotor scenario:
aerial-kit-sim
aerial-kit-sim --example fixed-wing
aerial-kit-sim --no-show --save result.png
Launch real-time keyboard teleoperation with one command:
aerial-kit-teleop # quadrotor
aerial-kit-teleop --airframe fixed-wing # twin-wing
Quadrotor — drone-style controls:
| Key | Action |
|---|---|
W / S or Up / Down | forward / backward |
A / D or Left / Right | strafe left / right |
Space / Shift | climb / descend |
Q / E | yaw left / right |
Fixed wing — RC-plane-style controls (no rudder, so Q/E biases
differential thrust rather than yawing directly):
| Key | Action |
|---|---|
W / S or Up / Down | pitch: dive / climb |
A / D or Left / Right | bank: turn right / left |
Space / Shift | throttle up / down |
Q / E | differential-thrust yaw nudge |
Shared: X neutralize, P pause, C toggle follow/world camera, -/=
zoom, H hide help, Esc exit.
Controls are body-relative, so yawing with Q/E changes where W takes you.
Click the plot window first; the HUD shows NO FOCUS when keystrokes are not
reaching it, and held keys are released whenever focus is lost. The follow
camera is a third-person chase view that stays behind the vehicle and turns
with its heading.
The equivalent simulator commands are aerial-kit-sim --teleop and
aerial-kit-sim --example fixed-wing --teleop. Without installing the
package, run python -m aerial_kit.sim.teleop (add --airframe fixed-wing
for the wing) from the repository root, or python examples/quadrotor/teleop.py
/ python examples/fixed_wing/teleop.py from anywhere (which is also what an
IDE Run button does). Teleop needs an interactive Matplotlib backend and fails
with an explanatory message if the active backend can only write files.
The public Python API accepts a YAML path, a mapping, or a normalized config:
from aerial_kit.sim import load_config, run_simulation
from aerial_kit.visualization import plot_simulation
config = load_config("examples/quadrotor/config.yaml")
result = run_simulation(config)
print(f"goal error: {result.distance_to_goal:.2f} m")
plot_simulation(result)
Complete configurable examples are included in the repository:
examples/quadrotor: quad airframe, PID control, and native multirotor dynamics.examples/fixed_wing: twin-motor flying wing, Dubins planning, native 6-DOF
dynamics, and L1/TECS control.The fixed-wing example starts at cruise airspeed to represent a hand launch. A fixed wing cannot be initialized at zero velocity like a hovering multirotor.
Early and actively developed. Be clear-eyed about what's actually verified:
TwinWingAirframe, FixedWingL1TECSController, L1/TECS guidance):
under development, simulation-only. Not flown on any hardware. Its 6-DOF aero model
uses plausible placeholder coefficients, not a fitted model of any specific real
airframe, and its guidance gains are validated only in the specific simulated scenarios
its own test suite covers - treat it as a research/simulation component, not something
to fly as-is.MIT
Download counts and popularity will appear here as the collector receives them.
| Version | Published | Direct dependencies | Open version |
|---|---|---|---|
| 0.2.1 | 31 Aug 2026 | 5 |
This describes our collected data; it is not a security assessment.
Observed since 20 Oct, 20:28 UTC
No superseded metadata states collected. Unchanged observations do not create new revisions.
package:e0cbf83edfd194f6c05fb1c91d7788240a6c2312527fe50758f2cafc88a0ec91