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Python sample codes and textbook for robotics algorithms.
A Python implementation of global optimization with gaussian processes.
Motion planning algorithms commonly used on autonomous vehicles. (path planning + path tracking)
PPO x Family DRL Tutorial Course（决策智能入门级公开课：8节课帮你盘清算法理论，理顺代码逻辑，玩转决策AI应用实践 ）
A library for differentiable nonlinear optimization
PythonLinearNonLinearControl is a library implementing the linear and nonlinear control theories in python.
[ICCV 2023] VAD: Vectorized Scene Representation for Efficient Autonomous Driving
This repository contains multiple approaches for generating global racetrajectories.
Iterative Linear Quadratic Regulator with auto-differentiatiable dynamics models
Implementation of the real-time MPC based on iLQR in Carla simulator
Multi-Purpose MPC for Reference Path Tracking, Time-Optimal Driving and Obstacle Avoidance
[ICCV 2023 Oral] Game-theoretic modeling and learning of Transformer-based interactive prediction and planning
[ICRA'2024] Rethinking Imitation-based Planner for Autonomous Driving
[TNNLS] Differentiable Integrated Prediction and Planning Framework for Urban Autonomous Driving
The source code of the [RA-Letter] paper "RDA: An Accelerated Collision Free Motion Planner for Autonomous Navigation in Cluttered Environments"
An Ethical Trajectory Planning Algorithm for Autonomous Vehicles
Motion Planning around Obstacles with Convex Optimization by Marcucci et al, 2023
[ICRA 2024] Differentiable Joint Conditional Prediction and Cost Evaluation for Tree Policy Planning
iterative Linear Quadratic Regulator with constraints.
A* Search Algorithm with an Additional Time Dimension to Deal with Dynamic Obstacles
[ICCV & CVPR Workshop] Learning-enabled Interactive Prediction and Planning Framework for Autonomous Vehicles
A toolkit for testing control and planning algorithm for car racing.
[ICLR'22] A Unified Architecture for Predicting Multiple Agent Trajectories
MPC Path Follower for the Hyundai Genesis.
MIND: Multi-modal Integrated PredictioN and Decision-making with Adaptive Interaction Modality Explorations
We use hybrid a star and optimization-based method for trajectory planning of the autonomous vehicle parking
[ITSC 2023] Predictive Decision-making Framework with Interaction-aware Motion Forecasting Model