876 skills found · Page 13 of 30
ZeZhan / Motion Planning Using Model Predictive ControlThis repository is motion planning of autonomous driving using Model Predictive Control (MPC) based on CommonRoad Framework. We develop the algorithm with two tools, i.e., CasADi (IPOPT solver) and Forcespro (SQP solver), to solve the optimization problem. Finally, we used two use cases to evaluate our algorithms, i.e. lane following and collision
uniaodk / CodemonThis is a educational RPG game developed in Godot Game Engine in 2D pixel art. The main goal is introduce the fundamentals of programing, such as concept about variables and yours types, the arithmetic operator, the logic operator, control flow and the last challenge the bubble sort algorithm (BOSS).
vincehass / Deep Reinforcement Learning Optimal ControlThis repository contains PyTorch implementations of deep reinforcement learning algorithms and environments for Robotics and Controls. The goal of this project is to include engineering applications for industrial optimization. I reproduce the results of several model-free and modelbased RL algorithms in continuous and discrete action domains.
eYSIP-2017 / EYSIP 2017 Control And Algorithms Development For QuadcopterNo description available
Ich-bin-Schnappi / Formation Control Simulation MatlabSimulation of several Formation Control algorithm
jzbontar / Steiner SmithImplementation of Steiner and Smith Radar Quality-control algorithm
tony23545 / Deep Reinforcement Learning ReimplementationPytorch Implement DRL algorithms (A2C, DDPG, PPO, TD3, SAC) for continuous action space control tasks.
RoboticsCollaborative / MotorControl SOEMThis is a motor control project based on SOEM (Simple Open EtherCAT Master) running on a real-time system. Several algorithms (like PD control, impedance control) will be deployed on the project.
thiagopbueno / Tf MpcAn implementation of model-predictive control algorithms using TensorFlow 2
aws-deepracer / Aws Deepracer NotebooksProvides a jailbreak experience of AWS DeepRacer, giving us more control over the training/simulation process and RL algorithm tuning
HangX-Ma / MiniFOCFOC driver board based on Qfplib-m3 and STM32F103C8T6 with algorithm. Use torque, velocity and angle control. Several applications based on torque control have been realized.
mraythree / SnakeGameA classic game of snake that is controlled by a neural network and trained using a genetic algorithm
vishnurohit87 / Multi UAV Formation ControlA multi-uav formation control algorithm for tracking a dynamic target
Jonathan-Pearce / Transfer Learning RlTransfer learning in deep reinforcement learning for continuous control. Implemented DDPG and TD3 algorithms and evaluated ability to adapt to changes in environment dynamics and new environments
yudarw / Coppeliasim Projects With ZmqRemoteApiThis project contains various robot simulation demos using CoppeliaSim and Python. The project is organized into several directories, each demonstrating different functionalities and algorithms for robot control and sensor integration.
luangrezende / Neural Network Circuit GameNeuroevolution simulation where AI-controlled cars learn to drive a custom circuit using a genetic algorithm (no backpropagation). Built with Python, NumPy and Matplotlib, includes a real-time visualizer and an interactive track editor.
BlessedRebuS / RISCV ROP TestbedA testbed for RISCV vulnerable binaries that aims to produce meaningful fingerprints recognizable by a Control Flow integrity Machine Learning Algorithm.
mehakgill1994 / ImageCompressionAndEncryptionThis project is done as part of the course "Image Processing". In this project we implemented an Image Compression and Encryption algorithm from the reserach paper "Novel Image Compression-encryption hybrid algorithm based on a key-controlled measurement matrix in compressive sensing" by Nanrun Zhou, Aidi Zhang, Fen Zheng, Lihua Gong.
JakubOsmic / WTD LibraryWind Turbine Dynamics (WTD) Library features a group of Simulink blocks for simulation of dynamic response of generic models of Wind Turbine Generators (WTG) on power system disturbances, which includes the General Electric (GE) Doubly Fed Induction Generator (DFIG) model. The WTD Library features a set of Simulink blocks that models GE DFIG as well as conventional steam and hydro generating units that are connected to a transmission grid. The Library also includes a set of Matlab m and S functions which are used for power flow calculation and initialization of state variables of the models of GE DFIG and conventional steam and hydro generating units. The WTD library is an open source simulation tool primarily aimed for educational/research purpose since it enables incorporation of user-defined Simulink models. The Library is especially suitable for development and testing of new algorithms for the control of WTG, like virtual inertia and primary frequency control algorithms.
apizbakar / Soft Actor Critic Reinforcement Learning Mobile Robot NavigationThis example uses Soft Actor Critic(SAC) based reinforcement learning to develop the mobile robot navigation. For a brief summary of the SAC algorithm, see Soft Actor Critic(SAC) Agents. This example scenario trains a mobile robot to navigate from location A to location B to avoid obstacles given range sensor readings that detect obstacles in the map. The objective of the reinforcement learning algorithm is to learn what controls (linear and angular velocity) for navigation from an initial to goal position and during the travel also can avoid colliding into obstacles. This example uses an occupancy map of a known environment to generate range sensor readings, detect obstacles, and check collisions the robot may make. The range sensor readings are the observations for the SAC agent, and the linear and angular velocity controls are the action.
