ZeroSimROSUnity
RAWSim-O
Our great sponsors
ZeroSimROSUnity | RAWSim-O | |
---|---|---|
1 | 1 | |
155 | 185 | |
0.0% | - | |
0.0 | 3.0 | |
almost 2 years ago | 6 months ago | |
C# | C# | |
MIT License | GNU General Public License v3.0 only |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
ZeroSimROSUnity
RAWSim-O
-
How to improve OR skills?
I got this post forwarded by a friend. I hope this is still alive. I did some research on RMFS back in the day. I also shared basically all my code here: https://github.com/merschformann/RAWSim-O Maybe it's useful to you in some way (apologies for some wild-growth in the code base in advance; it grew quickly and had to satisfy many ideas). Personally, I was interested in more accurate results (not too many abstractions), which is why I started with a detailed simulation model. Then, I focused on problems that arose from that approach (path planning, basic control logic, etc.). I later worked for a supplier of an RMFS and was able to verify the accuracy of my model to some extent (it came quite close - depending on the parameters of course). However, there are certainly different angles from which to approach RMFS research-wise. It also depends a bit on whether specific methodologies are expected from you (you mentioned Queuing Networks, etc.). I can also highly recommend finding someone for collaboration (it gave me a lot, not only regarding research but also personally - I met my best research buddy at a conference). I may be a bit out of touch with the state-of-the-art as I moved to new applications. But if it helps, feel free to ping me for some discussion. (I had quite some people contacting me about this, and I'm always happy to help [as time allows it and as helpful as I can be ;) ])
What are some alternatives?
Unity-Robotics-Hub - Central repository for tools, tutorials, resources, and documentation for robotics simulation in Unity.
find-global-maximum - Simulation of life like characters and several learning algorithms to test the ability of each algorithm to enable the characters reaching global maximum with minimum effort
unity-ml-agents-turret-defense - A reinforcement learning agent playing as the turret, where its goal is to allow ten friendly units to enter the base, and loses if an enemy unit has entered the base or if two friendly units were shot.
articulations-robot-demo
gazebo-classic - Gazebo classic. For the latest version, see https://github.com/gazebosim/gz-sim
ROS-TCP-Connector
ultimate-volleyball-starter - Tutorial kit for building a 3D deep reinforcement learning environment with Unity ML-Agents.
ros-sharp - ROS# is a set of open source software libraries and tools in C# for communicating with ROS from .NET applications, in particular Unity3D
TotalWarSimulator - Total War Battle simulator for AI research
moveit - :robot: The MoveIt motion planning framework
tf-lite-unity-sample - TensorFlow Lite Samples on Unity