Skip to main content

An algorithm for path planning in sequences of safe boxes

Project description

fastpathplanning

Main Test

Library companion to the paper "Fast Path PlanningThrough Large Collections of Safe Boxes" by Tobia Marcucci, Parth Nobel, Russ Tedrake, and Stephen Boyd.

  • Depends on cvxpy, networkx, scipy, numpy
    • Optional: matplotlib

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

fastpathplanning-0.1.2.tar.gz (14.5 kB view details)

Uploaded Source

Built Distribution

fastpathplanning-0.1.2-py3-none-any.whl (16.0 kB view details)

Uploaded Python 3

File details

Details for the file fastpathplanning-0.1.2.tar.gz.

File metadata

  • Download URL: fastpathplanning-0.1.2.tar.gz
  • Upload date:
  • Size: 14.5 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.10.6

File hashes

Hashes for fastpathplanning-0.1.2.tar.gz
Algorithm Hash digest
SHA256 b39d82884533500999716e55dcf66ca42577efcd50721e94c37556b716e81ae2
MD5 053adaad69ef2ddc6285d27104a72ade
BLAKE2b-256 ce3adc6d996f389f04f64fa05267c74454ee18c13800b2a7469d17577607349f

See more details on using hashes here.

File details

Details for the file fastpathplanning-0.1.2-py3-none-any.whl.

File metadata

File hashes

Hashes for fastpathplanning-0.1.2-py3-none-any.whl
Algorithm Hash digest
SHA256 bf8443fe4102141e994347d81182c506f841431ee7bf2fea950852cb93a98d33
MD5 c8fdffa17363ecc0f2996a166139d161
BLAKE2b-256 a7f66db4f8560a2c49ffdfff32c1901435720a7d5d77a0554a5eae75679db7b2

See more details on using hashes here.

Supported by

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