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VR driving 🚙 + eye tracking 👀 simulator based on CARLA for driving interaction research
These tutorials cover a variety of common robotics tasks and controllers, providing a comprehensive introduction to using Mujoco for robotics simulation. Each tutorial is designed to be self-contai…
An implementation of the Traffic Control Interface for Matlab
A general-purpose Python package for Koopman theory using deep learning.
The code used to generate and evaluate SUMO scenarios for measuring the safety and efficiency of low penetration rates of connected autonomous vehicles.
This is a demo model for Reinforcement Learning Control Design. After designing agent, it is deployed to Raspberry Pi and run real-time hardware.
A Python library modeling pedestrian and bicycle trips over networks.
A MuJoCo/Gym environment for robot control using Reinforcement Learning. The task of agents in this environment is pixel-wise prediction of grasp success chances.
Python Implementation of Reinforcement Learning: An Introduction
Blocks for accessing MuJoCo physics engine within Simulink
Python sample codes and textbook for robotics algorithms.
Reinforcement Learning environments for Traffic Signal Control with SUMO. Compatible with Gymnasium, PettingZoo, and popular RL libraries.
A suite of test scenarios for multi-agent reinforcement learning.
A microscopic traffic simulation in Python
Eclipse SUMO is an open source, highly portable, microscopic and continuous traffic simulation package designed to handle large networks. It allows for intermodal simulation including pedestrians a…
Simple library to make working with STL files (and 3D objects in general) fast and easy.
The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
Valkka - Create video surveillance, management and analysis programs with PyQt
ONVIF Client Implementation in Python 2+3 (using https://github.com/mvantellingen/python-zeep instead of suds as SOAP client)
This is a collection of python modules that interact with the Ryze Tello drone.
A Sample Code that implements the formation function of multiple tellos
Repo for the Deep Reinforcement Learning Nanodegree program
Minimal and Clean Reinforcement Learning Examples
Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.