Science Score: 49.0%

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    Found 1 DOI reference(s) in README
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    Links to: ieee.org
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    Low similarity (13.3%) to scientific vocabulary
Last synced: 7 months ago · JSON representation

Repository

TMIT*

Basic Info
  • Host: GitHub
  • Owner: wbthomason
  • License: mit
  • Language: C++
  • Default Branch: main
  • Size: 31.4 MB
Statistics
  • Stars: 20
  • Watchers: 2
  • Forks: 2
  • Open Issues: 1
  • Releases: 0
Created over 3 years ago · Last pushed over 1 year ago
Metadata Files
Readme License Citation

README.md

tmit-star

This repo provides an implementation of TMIT*, a practical almost-surely asymptotically optimal integrated task and motion planner, as initially presented in "Task and Motion Informed Trees (TMIT*): Almost-Surely Asymptotically Optimal Integrated Task and Motion Planning".

If you use this software in your research, please cite the following publication:

bibtex @article{thomason_tmit_star_2022, author={Thomason, Wil and Strub, Marlin P. and Gammell, Jonathan D.}, journal={IEEE Robotics and Automation Letters}, title={Task and Motion Informed Trees (TMIT*): Almost-Surely Asymptotically Optimal Integrated Task and Motion Planning}, year={2022}, volume={7}, number={4}, pages={11370-11377}, doi={10.1109/LRA.2022.3199676} }

Building

You'll need to manually install the following dependencies (also listed in meson.build): - The Meson build system - CMake - A modern C++ compiler (we use C++20 features; clang++ 14.0.6 is known to work) - Boost - Glew (for debug visualizer) - GLFW3 (for debug visualizer) - GLM (for debug visualizer) - LuaJIT - NLopt - Z3

All other dependencies are automatically downloaded and configured in subprojects/ using Meson's Wrap system.

Once all dependencies are installed, run the ./build.sh script with zsh. For the basic optimized build, use ./build.sh release --lto; the script also supports debug, sanitizer, and PGO builds (see the script source for relevant args).

This will result in a binary build/tmit-star.

Usage

You can run the planner directly, but the run.sh script provides a more convenient interface. For basic usage, run ./run.sh {PATH_TO_PROBLEM_SPECIFICATION} {ADDITIONAL PLANNER ARGS}. The script also supports running with perf record, lldb, and rr for debugging. To see a listing of planner args, run ./run.sh --help. Example problem specifications live in the problems/ directory - try ./run.sh problems/clutter/problems/clutter_pb_3.json for a basic example. Example Lua predicate implementations are provides in lua/predicates.lua - you can easily tailor these to your needs. PDDL files, robot, and object/obstacle geometry models for the example problems are provided in the problems and models subdirectories.

Notice

This software is provided as-is, with no guarantees of correctness, continued maintenance, etc. Feel free to file an issue/PR if you find a problem or would like to contribute.

Owner

  • Name: Wil Thomason
  • Login: wbthomason
  • Kind: user
  • Location: Houston, TX, USA
  • Company: @KavrakiLab

Postdoc at @KavrakiLab

GitHub Events

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  • Watch event: 2
Last Year
  • Watch event: 2

Committers

Last synced: 8 months ago

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  • Total Commits: 14
  • Total Committers: 1
  • Avg Commits per committer: 14.0
  • Development Distribution Score (DDS): 0.0
Past Year
  • Commits: 1
  • Committers: 1
  • Avg Commits per committer: 1.0
  • Development Distribution Score (DDS): 0.0
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Wil Thomason w****n@g****m 14

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Last synced: 8 months ago

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  • Total issues: 1
  • Total pull requests: 0
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  • Total issue authors: 1
  • Total pull request authors: 0
  • Average comments per issue: 1.0
  • Average comments per pull request: 0
  • Merged pull requests: 0
  • Bot issues: 0
  • Bot pull requests: 0
Past Year
  • Issues: 1
  • Pull requests: 0
  • Average time to close issues: N/A
  • Average time to close pull requests: N/A
  • Issue authors: 1
  • Pull request authors: 0
  • Average comments per issue: 1.0
  • Average comments per pull request: 0
  • Merged pull requests: 0
  • Bot issues: 0
  • Bot pull requests: 0
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