Ascent
uwv-simulator
Ascent | uwv-simulator | |
---|---|---|
1 | 1 | |
114 | 7 | |
2.6% | - | |
0.0 | 0.0 | |
over 1 year ago | about 2 years ago | |
C++ | C++ | |
Apache License 2.0 | BSD 3-clause "New" or "Revised" License |
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Ascent
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what methods can be used to solve a TP-BVP with variable control?
What about combining a fast numerical integrator like https://github.com/esa/torchquad or https://github.com/AnyarInc/Ascent with a fast parallel CMA-ES implementation like https://github.com/dietmarwo/fast-cma-es/blob/master/fcmaes/cmaescpp.py ? A numerical integrator allows you to implement variable control and a fast non-derivative optimizer can solve any related optimization problem.
uwv-simulator
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ardrone_gazebo (ROS Noetic package)
The day before yesterday, I took a half hour to combine an underwater robot and the ardrone_gazebo plugin. I just added the AR.Drone to the uwv-simulator launch file. It worked, albeit not 100% stable.
What are some alternatives?
fast-cma-es - A Python 3 gradient-free optimization library
sjtu-drone - Gazebo-9 and Ubuntu 18.04 compatible SJTU Drone package
FreeFem-sources - FreeFEM source code
sjtu-drone - ROS/ ROS 2 Gazebo quadcopter simulator. [Moved to: https://github.com/NovoG93/sjtu_drone]
CoreNeuron - Simulator optimized for large scale neural network simulations.
ardupilot - ArduPlane, ArduCopter, ArduRover, ArduSub source
sofa - Real-time multi-physics simulation with an emphasis on medical simulation.
ardrone_gazebo - This ardrone_gazebo repository contains a ROS Noetic package to simulate the old but well known AR.Drone.
torchquad - Numerical integration in arbitrary dimensions on the GPU using PyTorch / TF / JAX
HELICS - Hierarchical Engine for Large-scale Infrastructure Co-Simulation (HELICS)