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This repository implements Motion Planning Diffusion (MPD) - a method for learning and planning robot motions with diffusion models.
Safety-critical controllers for single/multi robotic navigation: CBF-QP, MPC-CBF, and etc.
rsasaki0109 / CudaRobotics
Forked from onlytailei/CppRoboticsGPU-accelerated robotics (CUDA + C++)
Vec-QMDP: A high-performance, CPU-native vectorized POMDP planner for real-time autonomous driving, leveraging SIMD acceleration and Data-Oriented Design.
Plotly for C++. A C++ interface to the Plotly.js figure spec, for creating interactive data visualizations.
Use PyTorch Models with CasADi for data-driven optimization or learning-based optimal control. Supports Acados.
NVIDIA curated collection of educational resources related to general purpose GPU programming.
Implementation of numerical solvers used in the Machines in Motion Laboratory
Templated C++/CUDA implementation of Model Predictive Path Integral Control (MPPI)
Python implementation of MPPI (Model Predictive Path-Integral) controller to understand the basic idea. Mandatory dependencies are numpy and matplotlib only.
Fatrop is a nonlinear optimal control problem solver that aims to be fast, support a broad class of optimal control problems and achieve a high numerical robustness.
A library for differentiable nonlinear optimization
With Uno, finally take full control of your SQP/barrier solver for nonlinearly constrained optimization
[ICML 2024] Potential Based Diffusion Motion Planning
LBFGS-Lite: A header-only L-BFGS unconstrained optimizer.
Motion Generation for Robots and Machines. Real-time. Jerk-constrained. Time-optimal.
A toolkit for making real world machine learning and data analysis applications in C++
CasADi is a symbolic framework for numeric optimization implementing automatic differentiation in forward and reverse modes on sparse matrix-valued computational graphs. It supports self-contained …
The Advanced Proximal Optimization Toolbox
The Control Toolbox - An Open-Source C++ Library for Robotics, Optimal and Model Predictive Control
Multi-Purpose MPC for Reference Path Tracking, Time-Optimal Driving and Obstacle Avoidance
Universal Trajectory Optimization Framework for Differential Drive Robot Class
A header-only C++ library for numerical optimization --
A complete Linux application software development tool library and runtime framework, aim at make C++ development easy.