A light-weight, Eigen-based C++ library for trajectory optimization for legged robots.
-
Updated
Apr 17, 2023 - C++
A light-weight, Eigen-based C++ library for trajectory optimization for legged robots.
An Eigen-based, light-weight C++ Interface to Nonlinear Programming Solvers (Ipopt, Snopt)
Differential Wheeled Mobile Robot - Nonlinear Model Predictive Control based on ROS
Fastest-lap is a vehicle dynamics simulator. It can be used to understand vehicle dynamics, to learn about driving techniques, to design car prototypes, or just for fun!
A collection of work using nonlinear model predictive control (NMPC) with discrete-time control Lyapunov functions (CLFs) and control barrier functions (CBFs)
"Safety-Critical Model Predictive Control with Discrete-Time Control Barrier Function" by J. Zeng, B. Zhang and K. Sreenath https://arxiv.org/abs/2007.11718
nonlinear control optimization tool
Type-safe modelling DSL, symbolic transformation, and code generation for solving optimization problems.
Codes for "Balancing Computation Speed and Quality: A Decentralized Motion Planning Method for Cooperative Lane Changes of Connected and Automated Vehicles"
Nonlinear Model Predictive Control tuning using Genetic Algorithms, employed on a trajectory controller for differential drive robot
This repo demonstrates how to build a surrogate (proxy) model by multivariate regressing building energy consumption data (univariate and multivariate) and use (1) Bayesian framework, (2) Pyomo package, (3) Genetic algorithm with local search, and (4) Pymoo package to find optimum design parameters and minimum energy consumption.
ROS MPC trajectory tracker. Currently only supports diff-drive/skid-steering UGVs.
MPC pathtracking implementation with python, solved by PANOC/IPOPT
A thin IPOPT wrapper for NLPModels
Fit a partial point cloud with a superquadric
This is MPC (model predictive controller) that can predict steering and throttle to drive in a simulator.
Underactuated double-pendulum (acrobot) on a cart to play with direct optimal control methods
An optimized, easy-to-use functional style motion planning library written in C++. Developed in lab with Prof. Tao Gao at UCLA.
Codes of "Cooperative Lane Change Motion Planning of Connected and Automated Vehicles: A Stepwise Computational Framework"
Add a description, image, and links to the ipopt topic page so that developers can more easily learn about it.
To associate your repository with the ipopt topic, visit your repo's landing page and select "manage topics."