Skip to main content

A foundation policy for quadrotor control

Project description

A Foundation Model for Continuous Control

Supports Python >= 3.6

from foundation_model import QuadrotorPolicy
import numpy as np
from scipy.spatial.transform import Rotation as R

policy = QuadrotorPolicy()
position = [0, 0, 0]
orientation = [1, 0, 0, 0]
orientation_rotation_matrix = R.from_quat(np.array(orientation)[[1, 2, 3, 0]]).as_matrix().ravel().tolist()
linear_velocity = [0, 0, 0]
angular_velocity = [0, 0, 0]
previous_action = [0, 0, 0, 0]

observation = np.array([position + orientation_rotation_matrix + linear_velocity + angular_velocity + previous_action])
policy.reset()
action = policy.evaluate_step(observation)
print(action)

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

foundation_policy-1.0.1.tar.gz (111.4 kB view details)

Uploaded Source

File details

Details for the file foundation_policy-1.0.1.tar.gz.

File metadata

  • Download URL: foundation_policy-1.0.1.tar.gz
  • Upload date:
  • Size: 111.4 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.12.3

File hashes

Hashes for foundation_policy-1.0.1.tar.gz
Algorithm Hash digest
SHA256 6edd925757873a69beb9808678fa3cf9a474652fda6873146c45441d1fc208d4
MD5 cca4fc21b127686174551c6a9cc6096b
BLAKE2b-256 e9223540587c6aa3e43b47e2cce00611b3521c03a7603874d977112f128552cf

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page