dengchunsheng1

dengchunsheng1's Stars

• dorsa-rh/PINN-Based-Model-Predictive-Control-with-Laguerre-Functions

  This project presents an advanced approach to Nonlinear Model Predictive Control (NMPC) for multi-link manipulators by integrating Physics-Informed Neural Networks (PINNs) with Laguerre functions. This method aims to improve computational efficiency and control performance in trajectory tracking tasks.

  Language:Python1

• HermiTech-LLC/Morty

  A bipedal humanoid control system using a Physics-Informed Neural Network (PINN) and Reinforcement Learning (RL) for stability and manipulation tasks. Integrated with ROS for real-time control and FPGA for hardware acceleration, it offers advanced robotic control, ideal for research, education, and practical applications in dynamic environments.

  Language:Python63

• tianyouzeng/PINNs-interface-optimal-control

  Language:Jupyter Notebook72

• FSC-Lab/PINN_quad

  quadrotor nonlinear control using physics informed neural network (PINN)

  Language:Jupyter Notebook41

• ComputationalScienceLaboratory/control-pinns

  Language:Jupyter Notebook136

• s1m2e3/PINN-Bicycle-Model

  Bicycle Model Validation with Real Vehicle Data from BSM by PINN's

  Language:HTML21

• PreCyseGroup/Feedback-Linearized-MPC-for-self-driving-cars

  Language:MATLAB31

• lp02781/PINNs-based-MPC

  Language:Python31

• VaidehiSom/Trajectory_Prediction_and_Dynamic_Obtacle_Avoidance_for_SDC

  Using PINN based MPC for motion planning for SDC and LSTM for pedestrain's trajectory prediction as dynamic obstacles

  Language:Jupyter Notebook354

• Binghamton-ACSR-Lab/FTHD

  Fine Tuning Hybrid Dynamics

  Language:Python4

• jacobwang925/path-integral-PINN

  Language:Python3

• dorsa-rh/PPO-SAC-RL-Based-Reference-Compensation-Method-UR5e

  This project implements a reinforcement learning-based compensation method for controlling the UR5e robot to achieve high tracking accuracy in following a reference trajectory, such as a square path. We employ two prominent reinforcement learning algorithms: PPO and SAC, to enhance the robot's performance.

  Language:Jupyter Notebook3

• mr-d-self-driving/vlm-ad

  Vision Langue Models for Autonomous Driving

  1

• mr-d-self-driving/STEB-Planner

  STEB-Planner is a spatiotemporal elastic bands-based trajectory planner for autonomous vehicles using semantic graph optimization

  1

• mr-d-self-driving/learning_based_model_predictive_control

  22

• coutfzx/Spatio-temporal-Decision-making-and-Trajectory-Planning-Framework

  1

• forgi86/efficient-calibration-embedded-MPC

  Python code of the paper "Efficient Calibration of Embedded MPC" (2020 IFAC World Congress) by Marco Forgione, Dario Piga, and Alberto Bemporad

  Language:Python2510

• WallabyLester/RBF-aPID-Controller

  RBF Neural Net Adaptive PID Controller

  Language:Python1

• TUMFTM/sim_vehicle_dynamics

  TUM Roborace Team Software Stack - Vehicle Simulation

  Language:MATLAB11929

• Alro10/deep-learning-time-series

  List of papers, code and experiments using deep learning for time series forecasting

  Language:Jupyter Notebook2.7k531

• Kr-Yan/Smart-cities-Autonomous-vehicle-control-using-neural-networks.

  This project is a car simulation system built in Unity that integrates a neural network and A* algorithm to guide vehicles efficiently from a starting point to a destination. The simulation emphasizes intelligent pathfinding, vehicle dynamics, and real-time decision-making.

  2

• alexzhengyc/Vehicle-dynamics-learning

  deep learning framework to learn overal dynamics of vehicles

  Language:Python53

• tzmhuang/vehicle_longitudinal_calibration

  Language:Python33

• pixwyh/Vehicle_dynamics_calibration

  Translate the vehicle dynamics calibration results for PIX and convert them into a csv file

  Language:Python2

• EmbodiedVision/st-vio

  Source code for ST-VIO (Li, H., Stueckler, J.): "Online Calibration of a Single-Track Ground Vehicle Dynamics Model by Tight Fusion with Visual-Inertial Odometry", in IEEE ICRA 2024

  Language:C++133

• lgsvl/apollo-vehicle

  Apollo vehicle calibration files for LG SVL simulator

  48

• kjkoster/stability-preserving-pid-autotuner

  A stability-preserving PID controller automatic tuner.

  Language:Python21

• anavc97/RL-for-Autonomus-Vehicles

  Base code for project: "Tuning A Path Tracking Controller for an Autonomous Vehicle Using Reinforcement Learning"

  Language:Python62

• leowei31/DDPG_RL_PID

  DDPG algorithm for PID tuning

  Language:Python265

• nobleo/path_tracking_pid

  Path Tracking PID offers a tuneable PID control loop, decouling steering and forward velocity

  Language:C++14539