# toppra **Repository Path**: Sn0o0py/toppra ## Basic Information - **Project Name**: toppra - **Description**: No description available - **Primary Language**: Unknown - **License**: MIT - **Default Branch**: develop - **Homepage**: None - **GVP Project**: No ## Statistics - **Stars**: 0 - **Forks**: 0 - **Created**: 2021-01-04 - **Last Updated**: 2021-03-25 ## Categories & Tags **Categories**: Uncategorized **Tags**: None ## README # `toppra`: Time-Optimal Path Parameterization [![CircleCI](https://circleci.com/gh/hungpham2511/toppra/tree/develop.svg?style=svg)](https://circleci.com/gh/hungpham2511/toppra/tree/develop) [![Coverage Status](https://coveralls.io/repos/github/hungpham2511/toppra/badge.svg?branch=master)](https://coveralls.io/github/hungpham2511/toppra?branch=master) [![Documentation Status](https://readthedocs.org/projects/toppra/badge/?version=latest)](https://toppra.readthedocs.io/en/latest/?badge=latest) - [Overview](#overview) - [Supports](#supports) - [Slack](https://join.slack.com/t/toppracommunity/shared_invite/zt-npyxpszp-3msp6MZhE5wNcjdrB~fWFg) - [Citing `toppra`](#citing--toppra-) # Overview **toppra** is a library for computing the time-optimal path parametrization for robots subject to kinematic and dynamic constraints. In general, given the inputs: 1. a geometric path `p(s)`, `s` in `[0, s_end]`; 2. a list of constraints on joint velocity, joint accelerations, tool Cartesian velocity, et cetera. **toppra** returns the time-optimal path parameterization: `s_dot (s)`, from which the fastest trajectory `q(t)` that satisfies the given constraints can be found. **Documentation and tutorials** are available [here](https://hungpham2511.github.io/toppra/index.html). **Development roadmap** Please check our the Issues tracker. # Support ## Bug tracking Please report any issues, questions or feature request via [Github issues tracker](https://github.com/hungpham2511/toppra/issues). Have a quick question? Try asking in our slack channel. ## Contributions Pull Requests are welcome! Create a Pull Request and we will review your proposal! # Credits `toppra` was originally developed by [Hung Pham](https://hungpham2511.github.com/) (Eureka Robotics, former CRI Group) and [Phạm Quang Cường](https://www.ntu.edu.sg/home/cuong/) (Eureka Robotics, CRI Group) with major contributions from talented contributors: - [Joseph Mirabel](https://github.com/jmirabel) (C++ API) - EdsterG (Python3 support). If you have taken part in developing and supporting the library, feel free to add your name to the list. The development is also generously supported by [Eureka Robotics](https://eurekarobotics.com/). # Citing toppra If you use this library for your research, we encourage you to 1. reference the accompanying paper [«A new approach to Time-Optimal Path Parameterization based on Reachability Analysis»](https://www.researchgate.net/publication/318671280_A_New_Approach_to_Time-Optimal_Path_Parameterization_Based_on_Reachability_Analysis), *IEEE Transactions on Robotics*, vol. 34(3), pp. 645–659, 2018. 2. put a star on this repository.