Discover MPC-Berkeley/mpclab_strategy_obca Open Source project

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MPC-Berkeley

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arXiv 2011.00413: (ROS and Python package for the experiments on BARC) Collision Avoidance in Tightly-Constrained Environments without Coordination: a Hierarchical Control Approach.

barc

Main branch for BARC related code

JavaScript

215

genesis_path_follower

MPC Path Follower for the Hyundai Genesis.

Python

152

Racing-LMPC-ROS2

C++ ROS2 packages that implement learning model predictive control for real-world autonomous race cars.

C++

dlp-dataset

Dragon Lake Parking Dataset by MPC Lab.

Jupyter Notebook

gp-opponent-prediction-models

Python

ParkingMPC.jl

Autonomous parking model predictive control example code in Julia

Julia

genesis_parking

Code for autonomous parking with the Hyundai Genesis.

Julia

hmpc_raidnet

Implementation of Hierarchical MPC with RAID-Net

Python

BLOM

Berkeley Library for Optimization Modeling

C++

vive_ros2

Code for uising the HTC vive tracking system with ROS2

Python

kendama

Python

barc_lite

A simplified version of the MPC Lab codebase for teaching and project purposes

Jupyter Notebook

MPC-Berkeley/mpclab_strategy_obca

MPC-Berkeley

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