Mesa is an open-source Python library for agent-based modeling, ideal for simulating complex systems and exploring emergent behaviors.
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Updated
May 22, 2024 - Python
Mesa is an open-source Python library for agent-based modeling, ideal for simulating complex systems and exploring emergent behaviors.
Gazebo classic. For the latest version, see https://github.com/gazebosim/gz-sim
Reinforcement learning environments with musculoskeletal models
Pedestrian simulator powered by the social force model
NUS ME5413 Autonomous Mobile Robotics Final Project
Main repository for developing the 1.x versions of GAMA
SAPIEN Manipulation Skill Framework, a GPU parallelized robotics simulator and benchmark
We have used Deep Reinforcement Learning and Advanced Computer Vision techniques to for the creation of Smart Traffic Signals for Indian Roads. We have created the scripts for using SUMO as our environment for deploying all our RL models.
OpenMAS is an open source multi-agent simulator based in Matlab for the simulation of decentralized intelligent systems defined by arbitrary behaviours and dynamics.
NUS ME5413 Autonomous Mobile Robotics Planning Project
LiveTraffic is an X-Plane multiplayer plugin, which fills your sky with live air traffic based on public flight tracking data.
A Cloud/Web-Based Simulation Environment
Whitefield provides a simulation environment for wireless sensor networks by combining RF simulation provided by NS3 and network stack provided by popular IoT OSes such as Contiki/RIOT/OpenThread.
Cooperative Driving Dataset: a dataset for multi-agent driving scenarios
A Framework for Generating and Executing Digital Twins
SimViz contains tools and resources for authoring and executing autonomous vehicle simulations on roadways and city scapes by using map import, scene creation, formatting of ground truth data, and creating spline based roads.
A multi-body simulation software
Public releases of the FLEE agent-based modelling code.
MuPIF is open-source, modular, distributed, object-oriented integration platform allowing to create complex, distributed, multiphysics simulation workflows across the scales and processing chains by combining existing simulation tools. Platform comes with data management system allowing to build digital twin representations of physical systems.
Saving incoming camera sensor images data as Numpy arrays to generate ground truth data for semantic segmentation
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